Risk-Adjusted Performance Measurement in Sovereign Wealth Funds (SWFs): Evaluating
the Performance of SWFs Considering Risk Factors and Constraints
Introduction
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
Sovereign wealth funds (SWFs) play an important role in assisting governments with
macroeconomic stability, intergenerational savings needs, and strategic investments. However,
as large institutional investors responsible for managing public funds, SWFs face increasing
scrutiny over how effectively they measure up to their policy objectives. While outright return
generation remains an important goal, appropriate risk-adjusted measures gain significance
considering unique risks and constraints SWFs operate under.
This paper examines critically how risk-adjusted performance measures can be extended to
sovereign wealth funds to holistically evaluate their success beyond nominal profit/loss. Various
return, risk and performance metrics applicable to equity, bond and alternative portfolios will be
discussed. Challenges in developing customized benchmarks, accounting for illiquid assets and
political directives will also be outlined. The aim is to propose a framework for SWFs to better
report risk-adjusted achievements transparently to stakeholders and promote best practices in
performance management.
Absolute Versus Risk-Adjusted Returns
SWFs primarily focus on absolute returns - growth of total portfolio value over time. Annualized
returns of 8-12% are generally targeted to outpace domestic economic growth and inflation.
However, taking undue risk to generate outperformance can undermine funds’ long-term
objectives if losses materialize.
Risk-adjusted return metrics factor in volatility, downside exposure to present a more balanced
picture. Common ratios used include Sharpe, Sortino, Calmar and Treynor. The Sharpe ratio,
defined as excess return over the risk-free rate divided by volatility, is the most widely used. It
indicates surplus returns earned per unit of total risk borne based on historic volatility. A higher
Sharpe denotes more efficient risk-taking, compensating investors for volatility better than
peers.
For assets with skewed, non-normal returns, downside risk measures focusing only on negative
performance like Sortino ratio are useful. Sortino penalizes strategies based on their downside
deviation instead of total volatility, handling tail risk more appropriately. Similarly, the Calmar
ratio assesses return generated per maximum drawdown, an intuitive measure of resilience
during crises.
While useful, these metrics depend on past volatility which may not capture future uncertainties.
Forward-looking value-at-risk (VaR) estimates potential losses with a given probability over a
defined horizon, better reflecting "unknown unknowns". These ratios complement each other for
SWFs to holistically present return profiles relative to risk over time.
Benchmarking SWF Performance
Customized benchmarks are essential for evaluating performance and identifying skill, yet there
exists no standardized SWF index accounting for their policy mandates. Common approaches
include using a weighted blend of public market indices, utilizing peers' average returns or
liability-driven benchmarks reflecting liabilities.
Weighted public indices, though incapable of capturing all restrictions, offer objectivity by
representing investable opportunity sets. However, differences in mandate, liquidity and
constraints limit direct benchmarking.
Focusing on average peer returns may incentivize uniform risk-taking rather than independent
thinking. Yet some funds utilize simple averages of other SWFs or Global Investment
Performance Standards (GIPS)-like composite returns for transparency in performance
reporting.
Liability-driven approaches view SWFs as meeting macro-stabilization or intergenerational
savings goals. Returns are measured against reference indicators like GDP growth, inflation
needed to meet future liabilities instead of capital markets alone. However, data availability,
forward-looking estimates challenge meaningful application.
Custom approaches best suit SWFs but require careful backtesting and periodic revisions.
Weighted global stocks/bonds or public market factors reflecting mandate and liquidity terms
offer a practical starting point, with peers' returns and liability considerations as robustness
checks. Flexibility is key for timely benchmark recalibration also acknowledging changing risk
profiles and objectives.
Performance Attribution
Understanding drivers of performance against benchmarks helps SWFs improve investment
processes and accountability. Simple returns-based style analysis decomposes performance
into allocation effects from changing exposures to asset classes/factors and selection effects
from individual security choices.
Modern performance attribution frameworks extend this to isolated risk sources. For instance,
Barra's factor-based approach quantifies the contributions of various macroeconomic and firm-
specific risks, signaling where active positioning added or detracted value relative to policy
portfolios. Axioma's risk model approach does the same across invested and systematic risk
factors like equity styles, term structure and credit risks.
Qualitative studies complement quantitative analyses. Regular portfolio manager interviews
ascertain investment themes and decisions behind major strategies. Reviews of implementation
policies and external manager selection processes identify potential inefficiencies. Performance
is thereby better contextualized to organizational strengths and areas needing focus.
Regular self-critical appraisals through customized benchmarking, detailed performance
attribution foster transparency and capability enhancement for SWFs relative to investors' needs
over time in an objective yet flexible manner. Continual model refinement also keeps pace with
evolving markets and mandates.
Managing Illiquid Assets
Illiquid alternatives pose unique challenges for performance measurement at SWFs given
difficulty valuing and transacting infrequently. Private equity, infrastructure, real estate constitute
sizable portions with multi-year lockup periods requiring pragmatic valuations.
Public market equivalent (PME) valuation compares illiquid portfolio returns to public indices
over its life, adjusted for cashflows and leverage via internal rate of return (IRR) calculations.
Though imprecise, this relates performance to investable opportunities forgone during the
lockup.
Multiperiod public market equivalent (MPE) extensions smooth volatility by modeling illiquid
strategies' cashflows as reinvested in public markets until exit, capturing path dependency of
returns better than PME. Cross-checking PME/MPE against actual distributions enhances
robustness.
Normalized asset-based measures also evolve valuation policies through economic cycles.
Adjusting appraisal-based private asset returns for lagged market changes via multiples
provides a normalized view of performance. Repeat valuations by independent experts
introduce cross-checks for transparency.
Managing Political Risks
SWFs operate with quasi-sovereign mandates exposing them to unique political risks altering
return profiles over time. Geopolitical tensions, trade spats disrupting cross-border investments
need accounting.
Defensive option-based risk measures calculate the cost of insuring funds against tail risks via
derivatives markets. This signals risk exposures in a policy-neutral way relative to availability of
similar products.
Scenario/stress testing augments static risk metrics by simulating potential fallback options
under extreme but plausible domestic or overseas political shocks to maintain core investment
principles. Modelling investment strategy flexibility at total portfolio level under constraints offers
robustness.
Qualitative overlays acknowledge socially responsible, environmental mandates prioritizing
sustainable themes. This balances commercial returns against developmental role, signalling
ESG focus to stakeholders for long-term sustainability of investment program.
Regular reviews with oversight boards discuss policy sensitivities and alignment of portfolios
relative to evolving national priorities and global trends in a consultative manner for funds to
pragmatically adapt to changing mandates over decades.
Conclusion
Risk-adjusted measures promote best practice performance assessments and accountability at
SWFs with diverse mandates spanning market returns and socioeconomic role. Customized
public benchmarks balanced with liability goals offer a baseline relative to investable
opportunities given constraints.
Modern attribution frameworks isolatealpha sources from both investment and political risks
enabling funds to continuously refine capabilities delivering stakeholder value. Pragmatic illiquid
asset valuation policies normalize returns through cycles for transparent reporting.
Scenario stress testing augments static risk metrics with plausible constraints. Qualitative
overlays acknowledge ESG priorities relative to commercial returns. Regular reviews calibrate
portfolios in consultation with policymakers for sustainable long-termism over generations. Such
holistic frameworks better evaluate balanced achievement of developmental objectives through
volatile capital markets.
