Behavioral Finance: Understanding the Social, Cognitive, and Economic Debates [NOOK Book]


Historically, economics has assumed that financial markets are efficient, or that an asset's market price at any given point in time reflects its underlying value. However, there now exists a considerable accumulation of evidence that supports the behavioral finance point of view that this need not be the case. Divided into five comprehensive parts, Behavioral Finance offers investors an in-depth guide to the evolving science of behavioral finance. Written by Edwin Burton and Sunit Shah—economics experts with ...

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Behavioral Finance: Understanding the Social, Cognitive, and Economic Debates

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Historically, economics has assumed that financial markets are efficient, or that an asset's market price at any given point in time reflects its underlying value. However, there now exists a considerable accumulation of evidence that supports the behavioral finance point of view that this need not be the case. Divided into five comprehensive parts, Behavioral Finance offers investors an in-depth guide to the evolving science of behavioral finance. Written by Edwin Burton and Sunit Shah—economics experts with experience in both academia and the financial marketplace—this reliable resource illuminates the wide variety of issues that comprise behavioral finance.

The book explores the Efficient Market Hypothesis, highlights noise trader theory and models including the noted Shleifer model, examines research into psychological behavior pioneered by Daniel Kahneman and Amos Tversky, and offers an examination of serial correlation patterns in stock price data.

To achieve better investment results, we must first overcome our behavioral biases. This book will put you in a better position to do so.

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Product Details

  • ISBN-13: 9781118331927
  • Publisher: Wiley
  • Publication date: 3/20/2013
  • Series: Wiley Finance
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 256
  • File size: 2 MB

Meet the Author

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.

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Table of Contents

Preface xi

Introduction 1

Part I 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 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 II 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 Over-reaction Theme 157

Lakonishok, Shleifer and Vishny (1994) on Value Versus Growth 158

Is Over-reaction 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 or 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 White183

Conclusion 184

Part V Other Topics

Chapter 18 The Equity Premium Puzzle 187

Mehra and Prescott (1985) 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

Neuraleconomic 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

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