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Proximity bias in investors' portfolio choice /Ted Lindblom, Taylan Mavruk, Stefan Sjögren.

By: Contributor(s): Material type: TextTextPublication details: Cham : Palgrave Macmillan, (c)2017.Description: 1 online resource (290 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319547626
  • 3319547623
Subject(s): Genre/Form: LOC classification:
  • HG4515 .P769 2017
  • HG1-HG9999
Online resources: Available additional physical forms:
Contents:
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Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE Non-fiction HG4515.15 (Browse shelf(Opens below)) Link to resource Available on1000453155

Includes bibliographies and index.

List of Figures; List of Tables; 1 Introduction; 1.1 The Aim of the Book; 1.2 The Organization of the Book; References; Porfolio Theory, Decision-Making and Market Efficiency; 2 Investors' Portfolio Choice and Portfolio Theory; 2.1 Introduction to the Modern Portfolio Theory; 2.2 The Mean-Variance Analysis; 2.3 The Capital Asset Pricing Model (CAPM); 2.4 Using Regression to Determine the Alpha and Beta Coefficients; 2.5 Concluding Remarks; Appendix; References; 3 Decision-Making-Rational, Bounded, or Behavioral; 3.1 Utility Maximization and Risk Attitude

3.2 Expected Utility Theorem and!blankand the Axioms; 3.3 Behavioral Descriptive Models of Decision-Making; 3.3.1 Heuristics and Bounded Rationality; 3.3.2 The Prospect Theory and the Allais and Ellsberg Paradoxes; 3.3.3 Mental Accounting and Other Behavior; 3.4 Concluding Remarks; References; 4 Market Efficiency and the Standard Asset Pricing Models Used to Test Market Efficiency; 4.1 The Efficient Market Hypothesis (EMH); 4.2 Complete and Incomplete Markets; 4.3 Commonly Used Asset Pricing Models; 4.3.1 The Stochastic Discount Factor; 4.3.2 The Arbitrage Pricing Theory

4.3.3 The Fama-French Three-Factor Model4.3.4 Carhart's Four-Factor Model; 4.4 Asset Pricing Models and Predictability-Empirical Tests of the EMH; 4.5 Concluding Remarks; References; Investor Behavior, Proximity Bias and Firms' Capital Structure; 5 The Financial Behavior of Individual Investors; 5.1 Investor Overconfidence; 5.2 The Disposition Effect; 5.3 Trading Experience; 5.4 Reinforcement Learning; 5.5 Attention and Sensation-Seeking; 5.6 Non-speculative Needs; 5.7 Social Interaction, Community Effects, and Herding; 5.8 Mobility; 5.9 Contrarian Behavior; 5.10 Cognitive Abilities

5.11 Preference for Skewness5.12 Investor Sophistication; 5.13 Concluding Remarks; References; 6 The Measurement of Proximity Bias; 6.1 Home Bias Measures; 6.1.1 Absolute, Relative, and Normalized Home Bias; 6.1.2 Domestic Vs. Foreign Bias (Underweighting); 6.1.3 Measuring Bilateral Biases-A Hypothetical Example; 6.1.4 Measuring Anomalies-The Hypothetical Example Extended; 6.1.5 Determining the Relevant Benchmark-The Optimal World Market Portfolio; 6.2 Local Bias Measures; 6.2.1 The Value-Weighted Distance Approach; 6.2.2 The Gravity-Based Distance Approach

6.2.3 The Administrative-Based Definition6.2.4 The Aggregate Local Bias of Capital Invested; 6.3 Concluding Remarks; References; 7 Motives and Reasons for Proximity Bias; 7.1 Reasons for Local Bias; 7.2 Birthplace Bias; 7.3 Concluding Remarks; References; 8 Local Bias and Capital Structure; 8.1 Capital Structure Theories; 8.2 Local Bias and Financial Decision-Making; 8.2.1 The Pecking-Order of Local Firms; 8.2.2 Governance and Conflict of Interest; 8.2.3 Investor Preferences and Capital Structure; 8.3 Capital Structure and Local Bias-Swedish Data; 8.3.1 Data and Method; 8.3.2 Empirical Results

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