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Behavioral Finance and Technical Analysis

9

Bodie, Kane, and Marcus

Essentials of Investments, 9th Edition

McGraw-Hill/Irwin

Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved.

9.1 Behavioral Critique

Behavioral Finance

Financial market model emphasizing potential implications of psychological factors affecting investor behavior

Existence of irrational investors is not sufficient to render capital markets inefficient

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9.1 Behavioral Finance

Information Processing

Forecasting errors

People overvalue recent experience compared to prior belief when forecasting

Overconfidence

People overestimate precision of beliefs or forecasts, and overestimate abilities

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9.1 Behavioral Finance

Information Processing

Conservatism bias

Investors too slow in updating beliefs in response to recent evidence

Sample size neglect and representativeness

People prone to believe small sample is representative of population, infer patterns too quickly

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9.1 Behavioral Finance

Behavioral Biases

Framing

Decisions affected by how choices are posed, i.e. gains relative to low baseline level or losses relative to higher baseline

Mental accounting

Form of framing; people segregate certain decisions

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9.1 Behavioral Finance

Behavioral Biases

Regret avoidance

People blame themselves for unconventional choices that turn out badly, avoid regret by making conventional decisions

Prospect theory

Investor utility depends on gains/losses from starting position, rather than levels of wealth

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9.1 Behavioral Critique

Limits to Arbitrage

Fundamental risk

Market changes or irrationality can eliminate profits

Implementation costs

Exploiting overpricing is difficult; costs and time limits can eliminate profits

Model risk

Inaccurate models generate inaccurate stock values

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Figure 9.1A Conventional Utility Function

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Figure 9.1B Utility Function under Prospect Theory

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9.1 Behavioral Critique

Limits to Arbitrage and Law of One Price

“Siamese twin” companies

Dual-listed companies can appear to violate Law of One Price

Equity carve-outs

Can violate Law of One Price due to inability to short sell

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9.1 Behavioral Critique

 

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Figure 9.2 Pricing of Royal Dutch Relative to Shell

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9.1 Behavioral Critique

Bubbles and Behavioral Economics

Evidence of irrational investor behavior

Easier to identify once over

Evaluating Behavioral Critique

No coherent theory

Most empirical support from one time period: late ‘90s

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9.2 Technical Analysis and Behavioral Finance

Trends and Corrections

Moving average

Average price over given interval, interval updated over time

Attempts to identify underlying price directions

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Figure 9.3 Share Price, 50-Day Moving Average for Intel

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Figure 9.4 Moving Averages

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Table 9.1 Stock Price History

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9.2 Technical Analysis and Behavioral Finance

Trends and Corrections

Point and figure charts

Traces significant upward/downward movements in prices without regard to timing

X denotes price increase, O denotes decrease

Sell/Buy signals generated when stock penetrates previous lows/highs

Congestion area: Horizontal band of Xs/Os created by price reversals

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Figure 9.5 Point and Figure Chart for Table 9.1

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Figure 9.6 Point and Figure Chart for Atlantic Richfield

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9.2 Technical Analysis and Behavioral Finance

Trends and Corrections

Breadth

Extent to which broad market index movements affect individual stock prices

Relative Strength

Recent performance of given stock/industry compared to that of broad market index

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Figure 9.7 Market Diary

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Table 9.2 Breadth

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9.2 Technical Analysis and Behavioral Finance

Sentiment Indicators

Trin statistic

Ratio of average volume in declining issues to average volume in advancing issues

Confidence index

Ratio of top-rated corporate bond yield to intermediate-grade bond yield

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9.2 Technical Analysis and Behavioral Finance

Sentiment Indicators

Short interest

Total number of shares currently short-sold in market

Put/call ratio

Ratio of put options to call options outstanding on stock

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9.2 Technical Analysis and Behavioral Finance

A Warning

People perceive patterns where none exist

Data mining generates apparent patterns within limited data sets

When evaluating rules, ask whether rule would be reasonable before looking at data

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Figure 9.8A Actual Stock Price Levels, 52 Weeks

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Figure 9.8B Simulated Stock Price Levels, 52 Weeks

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Figure 9.9A Actual Weekly Stock Price Changes, 52 Weeks

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Figure 9.9B Simulated Weekly Stock Price Changes, 52 Weeks

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McGraw

-

Hill/Irwin

Copyright

©

2013 by The McGraw

-

Hill Companies, Inc. All rights reserved.

Behavioral Finance and

Technical Analysis

9

Bodie

, Kane, and Marcus

Essentials of Investments,

9

th

Edition