• No results found

Michael Dempsey RMIT University, Melbourne, Australia

N/A
N/A
Protected

Academic year: 2021

Share "Michael Dempsey RMIT University, Melbourne, Australia"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

(1)

w Corporate Behavior A Conceptual Framework of Understanding

Michael Dempsey RMIT University, Melbourne, Australia

(2)

Contents

A Short Biofor the Author (Official Version) Unofficial Bio

Prologue

Chapter 1. Introduction: Stock Markets, Investments and Corporate Financial Decision Making

Part A — Foundations of Stock Pricing: A Critical Assessment Chapter 2. The Capital Asset Pricing Model

2.1. Introduction

2.2. Background to the CAPM 2.3. A Test for the CAPM 2.4. The Black Model

2.5. A Test of the Irrelevancy of Beta

2.6. Time for Reflection: What Have We Löarned? Chapter 3. The Fama and French Three-Factor Model 3.1. Introduction

3.2. The Fama and French Three-Factor Model

3.3. Critique of the Fama and French Three-Factor Model 3.4. Time for Reflection: What Have We Learned?

vii ix xi 1 9 11 11 13 16 22 25 27 31 31 32 34 36 xiii

(3)

Chapter 4. Beyond the Fama and French Three-Factor Model

4.1. Introduction

4.2. Asset Pricing Research

4.3. Asset Pricing and Data Mining

4.4. Implications of Abandoning the CAPM 4.5. Time for Reflection: What Have We Learned?

Part B — Foundations of Corporate Financial Activity: A Critical Assessment

Chapter 5. The Modigliani and Miller Propositions and the Foundations of Corporate Finance 5.1. Introduction

5.2. Corporate Financial Management prior to MM 5.3. Corporate Finance and the Paradigm of the MM

Propositions

5.4. A Critique of the MM Propositions

5.5. Recent Developments in Corporate Finance 5.6. Time for Reflection: What Have We Learned?

39 39 40 42 44 45 47 49 49 51 55 60 66 69

(4)

Contents xv Part C — Stock Markets and Investment Choices:

71 Growth, Asset Pricing and Portfolio Construction

Chapter 6. Mathematics of Growth 73

6.1. Introduction 73

6.2. The Important Power Laws 74

6.3. Discrete Returns, Compounding, and Discounting 75 6.4. Continuously Compounding Growth Rates 77

6.5. Application of Logarithms 81

6.6. The Normal Distribution 85

6.7. The Normal Distribution and Asset Pricing 91 6.8. Rates of Change between Variables and their Implied

Direct Relation: The Calculus 93

6.9. The Calculus of the Normal Probability Function 103 6.10. Portfolio Formation: Expected Returns, Standard

Deviations (Variance), Covariance, Beta,

and Correlation Coefficients 106

6.10.1. Expected return 106

6.10.2. Variance and Standard deviation 107

6.10.3. Covariance 108

6.10.4. Variance of portfolio returns 110 6.10.5. An example with normal distribution tables 111

6.10.6. Beta 112

6.10.7. Correlation 113

6.11. The Central Limit Theorem 115

6.12. The Binomial Representation Distributed

Exponential Growth Rates 117

6.13. Time to Reflect: What Have We Learned? 121 Chapter 7. The Statistical Growth of Asset Portfolios 123

7.1. Introduction 123

7.2. Normally Distributed Growth Rates as a Foundation

for Asset Price Formation 124

7.3. The Mathematics of Normally Distributed

(5)

7.4. The Outcome of Normally Distributed Growth Rates 128 7.5. Normally Distributed Growth Rates and the Small Firm

Size Effect in the FF-3F Model 129

7.6. Time for Reflection: What Have We Learned? 130 Chapter 8. The Fundamentals of Growth, Asset

Pricing, and Portfolio Allocation 131

8.1. Introduction 131

8.2. Portfolio Formation with One Risky Asset and One

Risk-Free Asset 132

8.3. The Log-Wealth Utility Function 137

8.4. Optimal Portfolio Selection 141

8.5. Portfolio Allocation and the Market Risk Premium 146

8.6. The Case for Stahle Dividends 152

8.7. Time for Reflection: What Have We Learned? 153 Chapter 9. A Model of Asset Pricing and Portfolio Allocation 155

9.1. Introduction 155

9.2. A Generalized Utility Function 156

9.3. Portfolio Optimization 160

9.4. The CAPM 161

9.5. Repeated Investment Periods 162

9.6. A Worked Example 162

9.6.1. Investors Risk Aversion and Required Equity

Return 162

9.6.2. TheCML 165

9.6.3. The CAPM and Roll's Critique 167

9.7. Can We Retain Log-Wealth Utility? 170

9.8. Generalization of the Equations of Portfolio Choice 171 9.9. Time to Reflect: What Have We Learned? 172

Chapter 10. Stock Mispricing 175

10.1. Introduction 175

10.2. The Model 176

(6)

Contents xvii 10.4. The Model for Mispricing and Portfolio Valuation 180

10.5. Equal Weighting of Assets 181

10.6. Exploiting Mispricing by Avoidance of Capital Weighting 183 10.7. Fundamental Indexation and the FF-3F Model: Models of

Risk Assimilation or Stock Mispricing? 184 10.8. Time for Reflection: What Have We Learned? 190 Chapter 11. Practitioner Client Portfolios, the Risk

Premium, and Time Diversification 191

11.1. Introduction 191

11.2. The Mutual Fund Separation Theorem 192

11.3. Consumption-Based Models 194

11.4. Time Diversification 198

11.5. Time to Reflect: What Have We Learned? 202 Chapter 12. Option Pricing: The Black-Scholes Model 203

12.1. Introduction 203

12.2. The Principle of Risk Neutrality 206 12.3. Derivation of the Black-Scholes Formula 210 12.3.1. The Probability That the Call is in the Money 211 12.3.2. The Probability-Weighted Summation Over All

In-the-money Outcome Prices 212

12.3.3. A Closed Expression for the Price

of a Call Option 214

12.4. Options on the Index with Dividends 216

12.5. Testing the Black-Scholes Model 217

12.6. Time for Reflection: What Have We Learned? 219

Part D — Corporate Financial Decision Making 221 Chapter 13. Valuation of the Firm's Cash Flows

13.1. Introduction 223

13.2. Complicating Issues in Discounting 225 13.3. Towards Coherence in Discounting 227

(7)

13.3.1. A Discount Model for Cash Flows Subject

to Taxes (Proposition 1) 227

13.3.2. The Cost of Equity and Leverage

(Proposition 2) 229

13.4. The Market Valuation of the Firm's Component

Cash Flows 232

13.4.1. Free Cash Flow (FCF) 232

13.4.2. Cash Flow to Equity and to Debt (CFD) 233

13.4.3. Capital Cash Flow 233

13.5. The Discounting Methods 234

13.6. Choice of Discount Method 241

13.7. Consistency of the CAPM with the Principle of Additivity of Investors' Risk-Return Exposures (as Proposition 2,

Eq. (13.6)) 242

13.8. In-consistency of the FF-3F Model with the Principle of Additivity of Investors' Risk-Return Exposures

as MM's proposition 2 (and Proposition 2, Eq. (13.6)) 243 13.9. The Capitalization Factors, qE and qo 246 13.10. Valuation of Imputation Tax Credits 249 13.11. Time for Reflection: What Have We Learned? 250 Chapter 14. Corporate Finance in a Strategie/

Behavioral Context 253

14.1. Introduction 253

14.2. Corporate Finance and the Management Literature 254 14.3. Towards a Corporate Management Context

for Corporate Finance 257

14.4. Time for Reflection: What Have We Learned? 259

Chapter 15. Ethics 261

15.1. Introduction 261

15.2. The Nature of Ethics 263

15.3. The Institutionalization of Ethics 266

15.4. Corporate Ethics 269

15.5. Ethics and the Individual 270

(8)

Contents

Final Chapter 273

Chapter 16. Academic Finance: Responsable Enquiry or

Stamp Collecting? 275

16.1. Summary of the Text 275

16.2. Finance Theory as Performative 277

16.3. Academic Finance: Responsible Enquiry

or Stamp Collecting? 282

References 285

References

Related documents

An integrated particle model based on the coupling of Discrete Element Method (DEM) and Smoothed Particles Hydrodynamics (SPH) has been proposed and developed to perform

This review of relevant articles has provided some important background information for the evaluation of augmented reality applications for language teaching and

Tests showed that while for older datasets ground control points have to be used to estimate boresight angles, for the newer dataset orthorectification and DSM

Milk Yield, Somatic Cell Count, and Udder Measurements in Holstein Cows at Different Lactation Number and Months.. In the study, 30 first lacta - tion and 49 second lactation,

Reception children and Year 1 have been working hard and learning popular christmas carols for this very festive and traditional time of the year. The Year 2 students wrote a letter

Check-up was cited infrequently as a main reason for children’s first dental visits (27.3%); it was the main reason for nearly 40% of children who visited the College of Dentistry

(5.2) 'Emergency warning point to multipoint system provider' means a private company 31.. providing emergency warning point to multipoint system services to

Lisa Johansen, Kevin Butler, William Enck, Patrick Traynor, and Patrick McDaniel.. SANs: Building Storage Area Networks from Memory Spots.Technical Report NAS-TR-0060- 2007, Network