finance
SRK1992
ThesisProposal.zipThesis Proposal .pdf
Introduction: -
• Brief background of the topic:
In terms of the capital markets, "herd behaviour" describes the propensity of
individuals or investors to follow the lead instead than individually forming
judgments based on information or basic analysis. This phenomenon has its
origins in the study of behavioural finance, which studies the ways in which
psychological variables impact market results and financial decisions.
Academics, financial institutions, regulators, and investors all need to
understand herd behaviour. It illuminates the behavioural biases that impact
market dynamics and offers explanations for how and why markets can depart
from reasonable expectations. This area of study advances our knowledge of
capital markets and helps us create risk management plans for herd behaviour.
• Rationale for the study:
Many stakeholders can profit from the results of research on herd behaviour in
capital markets, which is important for a number of reasons. Here are some key
points:
Importance of Research on Herd Behaviour in Capital Markets:
1. Market Dynamics
2. Investor Decision-Making
3. Behavioural Finance Insights
4. Policy Implications
5. Financial Stability
Stakeholders Who Benefit from Herd Behaviour Research:
1. Investors
2. Financial Institutions
3. Regulators
4. Academic Community
5. Policy Advocates
Herd behaviour in capital markets affects investor decision-making, market
dynamics, financial stability, and regulatory policies, research on this topic is
crucial. The results could be advantageous to many different parties since they
offer information that helps people behave in the financial markets in a more
knowledgeable and sensible manner.
• Objective and scope:
To explore and evaluate herd behaviour in capital markets in a comprehensive
manner is our main goal. The key goals include:
1. Understanding Herd Behaviour Dynamics
2. Impact on Market Dynamics
3. Identification of Herd Behaviour Indicators
4. Regulatory Implications
5. Investor Decision-Making
Scope of the research will focus on the following key aspects:
1. Time Frame
2. Asset Classes
3. Geographic Scope
4. Methodologies
Research Questions/ Hypotheses:-
• Main research question:
Research Question:
"How does the presence of herd behaviour influence the price dynamics of
financial assets in capital markets, and to what extent do psychological factors
contribute to the manifestation of herd behaviour among investors?"
Hypothesis 1: Impact of Herd Behaviour on Asset Prices
H01 : β1 = 0
H11 : β1 ≠ 0
In a regression model evaluating its effect on asset prices, β1 stands for the
coefficient of herd behaviour. The alternative hypothesis, H11, indicates a strong
impact of herd behaviour on asset values, whereas the null hypothesis, H01,
implies no meaningful association.
Hypothesis 2: Psychological Drivers of Herd Behaviour
H02 : γ1 = 0
H12 : γ1 ≠ 0
In a regression model that analyses their impact on the expression of herd
behaviour, γ1 stands for the coefficient of psychological components (such
social influence and FOMO). The alternative hypothesis, H12, contends that
psychological elements have a major impact on herd behaviour, contrary to the
null hypothesis, H02, which assumes no substantial association.
Hypothesis 3: Information Cascades and Herd Behaviour
H03 : δ1 = 0
H13 : δ1 ≠ 0
where the coefficient characterizing how information cascades affect herd
behaviour is denoted by δ1. The alternative hypothesis, H13, suggests a
substantial correlation between information cascades and the prevalence of herd
behaviour, whereas the null hypothesis, H03, states that there is no meaningful
relationship.
Equation-based, these theories offer a mathematical basis for investigating the
relationship among psychological characteristics, asset values, and herd
behaviour. The goal of the research is to improve knowledge of the dynamics of
herd behaviour in capital markets by empirically testing these theories through
statistical analysis.
PPT OF THESIS PROPOSAL.pptx
THESIS PROPOSAL “HERD BEHAVIOUR IN CAPITAL MARKET” This Photo by Unknown Author is licensed under CC BY
Introduction: -
In the capital market, herd behaviour occurs when people rely their investment decisions more on the behaviour of others than on independent research.
Emotional elements like fear, greed, and the need to fit in with the general feeling of the market are often the driving forces behind herding.
This field of study contributes to our understanding of financial markets and aids in the development of strategies for risk management in herd behaviour.
Informational cascades, or following the herd without necessarily taking into account personal information, are a feature of traditional herding.
Research Questions:-
Research Question:
1."How does the presence of herd behaviour influence the price dynamics of financial assets in capital markets, and to what extent do psychological factors contribute to the manifestation of herd behaviour among investors?“
2.“How do asset prices respond to collective decision-making among investors?”
3.“How are the change in the Treasury-bill rate, the rate of inflation, and the term spread interconnected in the context of herd behaviour?”
4.“What role do technological advancements play in the spread of information and trading strategies?”
5.“What are the long-term consequences of sustained periods of herd behaviour in the capital market?”
6.“Does herd behaviour manifest differently across various asset classes in the capital market?”
7.“How prevalent is herd behaviour in the analysed capital market, and what are the key factors contributing to its occurrence?”
Data and Methodology:-
We can get data’s from:
Bloomberg, financial databases.
R language or python for data analysis.
Reports available and publications from financial institutions, central banks, and government agencies.
Access data from stock exchanges and trading platforms.
Quantitative analysis.
Expected Results :-
Behavioural finance, which aims to integrate psychological insights into conventional financial theories, places a strong emphasis on understanding herd behaviour.
The circumstances in which herd behavior is more likely to happen, such as during times of high market uncertainly or limited liquidity, could be determined by research.
Researchers could create new instructional resources to instruct investors on the risks associated with following the herd behaviour.
How to make better decisions about their investments by conducting their own independent research.
It would be useful to conduct research on how social media and online trading platforms contribute to herd behavior in order to guide efforts to control or filter the dissemination of information through these platforms.
