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Behavioral finance applies systematic analysis to ideas that have long floated around the world of trading and investing. Yet it is important to realize that we are still at a very early stage of research into this discipline and have much to learn. That is why Edwin Burton has written Behavioral Finance: Understanding the Social, Cognitive, and Economic Debates.
Engaging and informative, this timely guide contains valuable insights into various issues surrounding behavioral finance. Topics addressed include noise trader theory and models, research into psychological behavior pioneered by Daniel Kahneman and Amos Tversky, and serial correlation patterns in stock price data. Along the way, Burton shares his own views on behavioral finance in order to shed some much-needed light on the subject.
* Discusses the Efficient Market Hypothesis (EMH) and its history, and presents the background of the emergence of behavioral finance
* Examines Shleifer's model of noise trading and explores other literature on the topic of noise trading
* Covers issues associated with anomalies and details serial correlation from the perspective of experts such as DeBondt and Thaler
* A companion Website contains supplementary material that allows you to learn in a hands-on fashion long after closing the book
In order to achieve better investment results, we must first overcome our behavioral finance biases. This book will put you in a better position to do so.
Behavioral finance applies systematic analysis to ideas that have long floated around the world of trading and investing. Yet it is important to realize that we are still at a very early stage of research into this discipline and have much to learn. That is why Edwin Burton has written Behavioral Finance: Understanding the Social, Cognitive, and Economic Debates.
Engaging and informative, this timely guide contains valuable insights into various issues surrounding behavioral finance. Topics addressed include noise trader theory and models, research into psychological behavior pioneered by Daniel Kahneman and Amos Tversky, and serial correlation patterns in stock price data. Along the way, Burton shares his own views on behavioral finance in order to shed some much-needed light on the subject.
* Discusses the Efficient Market Hypothesis (EMH) and its history, and presents the background of the emergence of behavioral finance
* Examines Shleifer's model of noise trading and explores other literature on the topic of noise trading
* Covers issues associated with anomalies and details serial correlation from the perspective of experts such as DeBondt and Thaler
* A companion Website contains supplementary material that allows you to learn in a hands-on fashion long after closing the book
In order to achieve better investment results, we must first overcome our behavioral finance biases. This book will put you in a better position to do so.
EDWIN T. BURTON is a Professor of Economics at the University of Virginia, where he has taught behavioral finance to more than 1,800 students in the past six years. He is an active investment consultant for pension funds and endowments and is a Trustee of the Virginia Retirement System. Burton's Wall Street history includes senior positions at Smith Barney, Rothschild Inc., and Interstate/Johnson Lane. He has been an economics professor since 1969 including eleven years on the faculty at Cornell University. Burton currently serves on two public company boards (SL Green Realty Corporation and Virginia National Bank) and numerous private company boards. He first joined the faculty at the University of Virginia in 1988. Burton received his doctorate from Northwestern University in economics and his undergraduate degree in economics from Rice University.
SUNIT N. SHAH's experience in finance includes seven years of financial modeling for Life Settlement Consulting and Management, a position at Stanfield Capital Partners modeling movements of credit spreads, and corporate finance analysis at the Boston Consulting Group for a billion-dollar household products company. Prior work also includes founder's roles in both a dot com and a financial start-up as well as consulting for firms such as Investure, LLC and the CFA Institute. Over the past ten years, Shah has taught a number of introductory, intermediate, and advanced undergraduate economics courses in microeconomics, statistics, and finance. Shah received his doctorate in economics as well as his bachelor's in mathematics and economics from the University of Virginia.
Preface xi
Introduction 1
Part One Introduction to Behavioral Finance
Chapter 1 What Is the Efficient Market Hypothesis? 5
Information and the Efficient Market Hypothesis 6
Random Walk, the Martingale Hypothesis, and the EMH 8
False Evidence against the EMH 11
What Does It Mean to Disagree with the EMH? 13
Chapter 2 The EMH and the "Market Model" 15
Risk and Return-the Simplest View 15
The Capital Asset Pricing Model (CAPM) 18
So What Is the Market Model? 23
Chapter 3 The Forerunners to Behavioral Finance 25
The Folklore of Wall Street Traders 26
The Birth of Value Investing: Graham and Dodd 28
Financial News in a World of Ubiquitous Television and Internet 29
Part Two Noise Traders
Chapter 4 Noise Traders and the Law of One Price 33
The Law of One Price and the Case of Fungibility 33
Noise 38
Chapter 5 The Shleifer Model of Noise Trading 43
The Key Components of the Shleifer Model 44
Results 49
Why the Shleifer Model Is Important 50
Resolving the Limits to Arbitrage Dispute 51
Chapter 6 Noise Trading Feedback Models 53
The Hirshleifer Model 53
The Subrahmanyam-Titman Model 58
Conclusion 62
Chapter 7 Noise Traders as Technical Traders 65
Technical Traders as Noise Traders 67
Herd Instinct Models 72
Conclusion 76
Part III Anomalies
Chapter 8 The Rational Man 81
Consumer Choice with Certainty 81
Consumer Choice with Uncertainty 84
The Allais Paradox 90
Conclusion 92
Chapter 9 Prospect Theory 93
The Reference Point 93
The S-Curve 94
Loss Aversion 96
Prospect Theory in Practice 98
Drawbacks of Prospect Theory 98
Conclusion 100
Chapter 10 Perception Biases 101
Saliency 101
Framing 103
Anchoring 106
Sunk Cost Bias 108
Conclusion 109
Chapter 11 Inertial Effects 111
Endowment Effect 111
Status Quo Effect 116
Disposition Effect 119
Conclusion 120
Chapter 12 Causality and Statistics 123
Representativeness 123
Conjunction Fallacy 127
Reading into Randomness 129
Small Sample Bias 131
Probability Neglect 133
Conclusion 134
Chapter 13 Illusions 135
Illusion of Talent 135
Illusion of Skill 138
Illusion of Superiority 139
Illusion of Validity 141
Conclusion 142
Part IV Serial Correlation
Chapter 14 Predictability of Stock Prices: Fama-French Leads the Way 147
Testing the Capital Asset Pricing Model 147
A Plug for Value Investing 149
Mean Reversion-The DeBondt-Thaler Research 151
Why Fama-French Is a Milestone for Behavioral Finance 152
Chapter 15 Fama-French and Mean Reversion: Which Is It? 155
The Month of January 155
Is This Just About Price? 157
The Overreaction Theme 157
Lakonishok, Shleifer, and Vishny on Value versus Growth 158
Is Overreaction Nothing More Than a "Small Stock" Effect? 159
Daniel and Titman on Unpriced Risk in Fama and French 164
Summing Up the Contrarian Debate 165
Chapter 16 Short Term Momentum 167
Price and Earnings Momentum 167
Earnings Momentum-Ball and Brown 168
Measuring Earnings Surprises 170
Why Does It Matter Whether Momentum Is Price or Earnings Based? 173
Hedge Funds and Momentum Strategies 174
Pricing and Earnings Momentum-Are They Real and Do They Matter? 174
Chapter 17 Calendar Effects 177
January Effects 178
The Other January Effect 180
The Weekend Effect 181
Preholiday Effects 182
Sullivan, Timmermann, and White 183
Conclusion 184
Part V Other Topics
Chapter 18 The Equity Premium Puzzle 187
Mehra and Prescott 187
What About Loss Aversion? 190
Could This Be Survivor Bias? 191
Other Explanations 192
Are Equities Always the Best Portfolio for the Long Run? 193
Is the Equity Premium Resolved? 194
Chapter 19 Liquidity 195
A Securities Market Is a Bid-Ask Market 196
Measuring Liquidity 197
Is Liquidity a Priced Risk for Common Stocks? 199
Significance of Liquidity Research 200
Chapter 20 Neuroeconomics 201
Capuchin Monkeys 201
Innateness Versus Culture 203
Decisions Are Made by the Brain 203
Decisions versus Outcomes 205
Neuroeconomic Modeling 206
More Complicated Models of Brain Activity 208
The Kagan Critique 208
Conclusion 209
Chapter 21 Experimental Economics 211
Bubble Experiments 212
Endowment Effect and Status Quo Bias 215
Calendar Effects 216
Conclusion 216
Conclusion And the Winner Is? 217
The Semi-Strong Hypothesis-Prices Accurately Summarize All Known Public Information 217
Can Prices Change if Information Doesn't Change? 219
Is the Law of One Price Valid? 220
Three Research Agendas 221
The Critics Hold the High Ground 223
What Have We Learned? 223
Where Do We Go From Here? (What Have We Not Learned?) 227
A Final Thought 230
Index 231
| Erscheinungsjahr: | 2013 |
|---|---|
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: | 256 S. |
| ISBN-13: | 9781118300190 |
| ISBN-10: | 111830019X |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Burton, Edwin T
Shah, Sunit N |
| Hersteller: |
Wiley
John Wiley & Sons |
| Maße: | 235 x 157 x 18 mm |
| Von/Mit: | Edwin T Burton (u. a.) |
| Erscheinungsdatum: | 18.03.2013 |
| Gewicht: | 0,528 kg |
EDWIN T. BURTON is a Professor of Economics at the University of Virginia, where he has taught behavioral finance to more than 1,800 students in the past six years. He is an active investment consultant for pension funds and endowments and is a Trustee of the Virginia Retirement System. Burton's Wall Street history includes senior positions at Smith Barney, Rothschild Inc., and Interstate/Johnson Lane. He has been an economics professor since 1969 including eleven years on the faculty at Cornell University. Burton currently serves on two public company boards (SL Green Realty Corporation and Virginia National Bank) and numerous private company boards. He first joined the faculty at the University of Virginia in 1988. Burton received his doctorate from Northwestern University in economics and his undergraduate degree in economics from Rice University.
SUNIT N. SHAH's experience in finance includes seven years of financial modeling for Life Settlement Consulting and Management, a position at Stanfield Capital Partners modeling movements of credit spreads, and corporate finance analysis at the Boston Consulting Group for a billion-dollar household products company. Prior work also includes founder's roles in both a dot com and a financial start-up as well as consulting for firms such as Investure, LLC and the CFA Institute. Over the past ten years, Shah has taught a number of introductory, intermediate, and advanced undergraduate economics courses in microeconomics, statistics, and finance. Shah received his doctorate in economics as well as his bachelor's in mathematics and economics from the University of Virginia.
Preface xi
Introduction 1
Part One Introduction to Behavioral Finance
Chapter 1 What Is the Efficient Market Hypothesis? 5
Information and the Efficient Market Hypothesis 6
Random Walk, the Martingale Hypothesis, and the EMH 8
False Evidence against the EMH 11
What Does It Mean to Disagree with the EMH? 13
Chapter 2 The EMH and the "Market Model" 15
Risk and Return-the Simplest View 15
The Capital Asset Pricing Model (CAPM) 18
So What Is the Market Model? 23
Chapter 3 The Forerunners to Behavioral Finance 25
The Folklore of Wall Street Traders 26
The Birth of Value Investing: Graham and Dodd 28
Financial News in a World of Ubiquitous Television and Internet 29
Part Two Noise Traders
Chapter 4 Noise Traders and the Law of One Price 33
The Law of One Price and the Case of Fungibility 33
Noise 38
Chapter 5 The Shleifer Model of Noise Trading 43
The Key Components of the Shleifer Model 44
Results 49
Why the Shleifer Model Is Important 50
Resolving the Limits to Arbitrage Dispute 51
Chapter 6 Noise Trading Feedback Models 53
The Hirshleifer Model 53
The Subrahmanyam-Titman Model 58
Conclusion 62
Chapter 7 Noise Traders as Technical Traders 65
Technical Traders as Noise Traders 67
Herd Instinct Models 72
Conclusion 76
Part III Anomalies
Chapter 8 The Rational Man 81
Consumer Choice with Certainty 81
Consumer Choice with Uncertainty 84
The Allais Paradox 90
Conclusion 92
Chapter 9 Prospect Theory 93
The Reference Point 93
The S-Curve 94
Loss Aversion 96
Prospect Theory in Practice 98
Drawbacks of Prospect Theory 98
Conclusion 100
Chapter 10 Perception Biases 101
Saliency 101
Framing 103
Anchoring 106
Sunk Cost Bias 108
Conclusion 109
Chapter 11 Inertial Effects 111
Endowment Effect 111
Status Quo Effect 116
Disposition Effect 119
Conclusion 120
Chapter 12 Causality and Statistics 123
Representativeness 123
Conjunction Fallacy 127
Reading into Randomness 129
Small Sample Bias 131
Probability Neglect 133
Conclusion 134
Chapter 13 Illusions 135
Illusion of Talent 135
Illusion of Skill 138
Illusion of Superiority 139
Illusion of Validity 141
Conclusion 142
Part IV Serial Correlation
Chapter 14 Predictability of Stock Prices: Fama-French Leads the Way 147
Testing the Capital Asset Pricing Model 147
A Plug for Value Investing 149
Mean Reversion-The DeBondt-Thaler Research 151
Why Fama-French Is a Milestone for Behavioral Finance 152
Chapter 15 Fama-French and Mean Reversion: Which Is It? 155
The Month of January 155
Is This Just About Price? 157
The Overreaction Theme 157
Lakonishok, Shleifer, and Vishny on Value versus Growth 158
Is Overreaction Nothing More Than a "Small Stock" Effect? 159
Daniel and Titman on Unpriced Risk in Fama and French 164
Summing Up the Contrarian Debate 165
Chapter 16 Short Term Momentum 167
Price and Earnings Momentum 167
Earnings Momentum-Ball and Brown 168
Measuring Earnings Surprises 170
Why Does It Matter Whether Momentum Is Price or Earnings Based? 173
Hedge Funds and Momentum Strategies 174
Pricing and Earnings Momentum-Are They Real and Do They Matter? 174
Chapter 17 Calendar Effects 177
January Effects 178
The Other January Effect 180
The Weekend Effect 181
Preholiday Effects 182
Sullivan, Timmermann, and White 183
Conclusion 184
Part V Other Topics
Chapter 18 The Equity Premium Puzzle 187
Mehra and Prescott 187
What About Loss Aversion? 190
Could This Be Survivor Bias? 191
Other Explanations 192
Are Equities Always the Best Portfolio for the Long Run? 193
Is the Equity Premium Resolved? 194
Chapter 19 Liquidity 195
A Securities Market Is a Bid-Ask Market 196
Measuring Liquidity 197
Is Liquidity a Priced Risk for Common Stocks? 199
Significance of Liquidity Research 200
Chapter 20 Neuroeconomics 201
Capuchin Monkeys 201
Innateness Versus Culture 203
Decisions Are Made by the Brain 203
Decisions versus Outcomes 205
Neuroeconomic Modeling 206
More Complicated Models of Brain Activity 208
The Kagan Critique 208
Conclusion 209
Chapter 21 Experimental Economics 211
Bubble Experiments 212
Endowment Effect and Status Quo Bias 215
Calendar Effects 216
Conclusion 216
Conclusion And the Winner Is? 217
The Semi-Strong Hypothesis-Prices Accurately Summarize All Known Public Information 217
Can Prices Change if Information Doesn't Change? 219
Is the Law of One Price Valid? 220
Three Research Agendas 221
The Critics Hold the High Ground 223
What Have We Learned? 223
Where Do We Go From Here? (What Have We Not Learned?) 227
A Final Thought 230
Index 231
| Erscheinungsjahr: | 2013 |
|---|---|
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: | 256 S. |
| ISBN-13: | 9781118300190 |
| ISBN-10: | 111830019X |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Burton, Edwin T
Shah, Sunit N |
| Hersteller: |
Wiley
John Wiley & Sons |
| Maße: | 235 x 157 x 18 mm |
| Von/Mit: | Edwin T Burton (u. a.) |
| Erscheinungsdatum: | 18.03.2013 |
| Gewicht: | 0,528 kg |
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