Quantitative investment analysis workbook
著者
書誌事項
Quantitative investment analysis workbook
（CFA Institute investment series）
Wiley, c2007
2nd ed
- : pbk.
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内容説明・目次
内容説明
In the Second Edition of Quantitative Investment Analysis, financial experts Richard DeFusco, Dennis McLeavey, Jerald Pinto, and David Runkle outline the tools and techniques needed to understand and apply quantitative methods to today's investment process. Now, in Quantitative Investment Analysis Workbook, Second Edition, they offer you a wealth of practical information and exercises that will further enhance your understanding of this discipline. This essential study guide--which parallels the main book chapter by chapter--contains challenging problems and a complete set of solutions as well as concise learning outcome statements and summary overviews. If you're looking to successfully navigate today's dynamic investment environment, the lessons found within these pages can show you how. Topics reviewed include: * The time value of money * Discounted cash flow * Probability distributions * Sampling and estimation * Hypothesis testing * Multiple regression * Time-series analysis * And much more
目次
PART 1: Learning Outcomes, Summary Overview, and Problems. Chapter 1. The Time Value of Money. Chapter 2. Discounted Cash Flow Applications. Chapter 3. Statistical Concepts and Market Returns. Chapter 4. Probability Concepts. Chapter 5. Common Probability Distributions. Chapter 6. Sampling and Estimation. Chapter 7. Hypothesis Testing. Chapter 8. Correlation and Regression. Chapter 9. Multiple Regression and Issues in Regression Analysis. Chapter 10. Time-Series Analysis. Chapter 11. Portfolio Concepts. PART 2: Solutions. Chapter 1. The Time Value of Money. Chapter 2. Discounted Cash Flow Applications. Chapter 3. Statistical Concepts and Market Returns. Chapter 4. Probability Concepts. Chapter 5. Common Probability Distributions. Chapter 6. Sampling and Estimation. Chapter 7. Hypothesis Testing. Chapter 8. Correlation and Regression. Chapter 9. Multiple Regression and Issues in Regression Analysis. Chapter 10. Time-Series Analysis. Chapter 11. Portfolio Concepts. About the CFA Program.
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