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Risk and return in transportation and other US and global industries / by Manolis G. Kavussanos and Stelios N. Marcoulis.
- Format:
- Book
- Author/Creator:
- Kavussanos, Manolis G.
- Language:
- English
- Subjects (All):
- Merchant marine--United States--Finance.
- Merchant marine.
- Transportation--United States--Finance.
- Transportation.
- Capital assets pricing model.
- Rate of return.
- Finance.
- United States.
- Rate of return--United States.
- Capital assets pricing model--United States.
- Physical Description:
- xviii, 174 pages : illustrations ; 25 cm
- Place of Publication:
- Boston : Kluwer Academic Publishers, [2001]
- Contents:
- 1.2. The Decision Process for the Investor-Analysing and Selecting Stocks 7
- 1.3. The Determinants of Stock Returns-General Literature Survey 9
- 1.4. Importance of the Industry Effect 15
- 1.4.1. A General Finance point of view 15
- 1.4.2. A Strategy point of view 18
- 1.5. Industry Classification of Industries 20
- 1.6. Industries used for the Purposes of this Thesis 23
- 1.6.1. US Transportation Industries 23
- 1.6.2. Non-Transportation Industries 29
- 1.6.3. Rationale for selecting the above industries 35
- Appendix 1 Exact SIC Definitions for the US Industries covered in the Book 37
- Appendix 2 US Companies used in this Book grouped according to SIC 40
- Chapter 2 Statistical Methodology 43
- 2.2. Summary Statistics for a set of Data 43
- 2.3. Inference (Hypothesis Testing or Confidence Intervals) 47
- 2.4. Single Equation Regression Methods 49
- 2.4.1. The problem of Estimation 52
- 2.4.2. The problem of Inference 53
- 2.4.3. Goodness of Fit and some DiagnosticTests 54
- 2.4.4. The Significance of the Regression Model Assumptions and GLS estimation 56
- 2.5. Multiple Equation Regression Methods 58
- 2.5.1. Seemingly Unrelated Regression Equations (SURE) 60
- 2.5.2. SURE Estimation with unknown Covariance Matrix 61
- 2.5.3. Properties of SURE Estimators 62
- 2.6. Autoregressive Integrated Moving Average (ARIMA) Models 63
- Chapter 3 Data Definitions, Properties, Transformations 66
- 3.2. Models and Variables 66
- 3.2.1. Correlation Amongst Variables 71
- 3.3. Properties of Returns of the Water Transportation Industry 71
- Chapter 4 Results from the CAPM-Capital Asset Pricing Model 75
- 4.2. The Capital Asset Pricing Model (CAPM) and Market Risk 76
- 4.2.1. The CAPM under different market conditions 77
- 4.3. Results for the Water Transportation Industry 78
- 4.3.1. Camparison of the Industry with the Market Index 79
- 4.3.2. Bull versus Bear Market Conditions 83
- 4.3.3. The Size effect 84
- 4.4. Comparison of the Water Transportation Beta with other Industries 86
- Chapter 5 Microeconomic (Company Specific) Factors As Determinants Of Equity Returns 93
- 5.2. A Possible Set of Relevant Microeconomic Factors 93
- 5.3. Results
- Identified Factors in each Industry 95
- Chapter 6 Macroeconomic (Economy Wide) Factors As Determinants Of Equity Returns 106
- 6.2. A Possible Set of Relevant Macroeconomic Factors 107
- 6.3. Results
- Identified Factors in each Industry 109
- Chapter 7 Microeconomic and Macroeconomic Factors-A Unified Approach 118
- 7.2. A Possible Set of Relevant Micro and Macroeconomic Factors 119
- 7.3. Results
- Identified Factors in each Industry 120
- Chapter 8 Macroeconomic Factors and International Industry Returns 128
- 8.3. Data 132
- 8.4. Empirical Tests and Results 135
- 9.1.1. Summary of Results from the CAPM: Intertemporal Analysis, Different market conditions and Cross Industry Comparison 146
- 9.1.2. Microeconomic Factors as Determinants of Equity Returns 147
- 9.1.3 Macroeconomic Factors as Determinants of Equity Returns 149
- 9.1.4. Microeconomic and Macroeconomic Factors-A Unified Approach 151
- 9.1.5. Macroeconomic Factors and International Industry Returns
- A Global Approach 153
- 9.2.1. Usefulness of the findings for investors and portfolio managers 155
- 9.2.2. Usefulness of the findings for corporate financiers 157.
- Notes:
- Includes bibliographical references (pages [163]-168) and index.
- ISBN:
- 0792373561
- OCLC:
- 46835357
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