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Behavioral finance and wealth management: how to build optimal portfolios that account for investor biases

Author: Pompian, Michael M. Series: Wiley finance series Publisher: Wiley, 2006.Language: EnglishDescription: 317 p. : Graphs/Ill./Photos ; 24 cm.ISBN: 9780471745174Type of document: BookBibliography/Index: Includes bibliographical references and index
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book Europe Campus
Main Collection
Print HG4515 .P66 2006
(Browse shelf)
Available 001253825
Total holds: 0

Includes bibliographical references and index


Behavioral Finance and Wealth Management How To Build Optimal Portfolios That Account for Investor Biases Contents Preface Acknowledgments ix xvii PART ONE Introduction to the Pradical Application of Behavioral Finance CHAPTER 1 What Is Behavioral Finance? CHAPTER 2 The History of Behavioral Finance Micro CHAPTER 3 Incorporating Investor Behavior into the Asset Allocation Process 3 19 39 PART TWO Investor Biases Defined and Illustrated CHAPTER 4 Overconfidence Bias CHAPTER 5 Representativeness Bias CHAPTER 6 Anchoring and Adjustment Bias CHAPTER 7 Cognitive Dissonance Bias CHAPTER 8 Availability Bias CHAPTER 9 Self-Attribution Bias CHAPTER 10 Illusion of Control Bias CHAPTER 11 Conservatism Bias CHAPTER 12 Ambiguity Aversion Bias CHAPTER 13 Endowment Bias CHAPTER 14 Self-Control Bias CHAPTER 15 Optimism Bias 51 62 75 83 94 104 111 119 129 139 150 163 CHAPTER 16 Mental Accounting Bias CHAPTER 17 Confirmation Bias CHAPTER 18 Hindsight Bias CHAPTER 19 Loss Aversion Bias CHAPTER 20 Recency Bias CHAPTER 21 Regret Aversion Bias CHAPTER 22 Framing Bias CHAPTER 23 Status Quo Bias 171 187 199 208 216 227 237 248 PART THREE Case Studies CHAPTER 24 Case Studies 257 PART FOUR Special Topics in Practical Application of Behavioral Finance CHAPTER 25 Gender, Personality Type, and Investor Behavior CHAPTER 28 Investor Personality Types CHAPTER 27 Neuroeconomics: The Next Frontier for Explaining Investor Behavior Notes Index About the Author 271 282 295 303 311 318

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