Workbook (CFA Institute Investment Series) - Tapa blanda

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RICHARD A. DeFUSCO, CFA, is an Associate Professor of Finance at the University of Nebraska-Lincoln. DeFusco completed his bachelor's degree in management science at the University of Rhode Island and doctoral degree in finance at the University of Tennessee-Knoxville. He earned his CFA charter in 1999. DENNIS W. McLEAVEY, CFA, is Head of Professional Development Products at CFA Institute. McLeavey completed a doctorate in production management and industrial engineering at Indiana University in 1972, and earned his CFA charter in 1990. JERALD E. PINTO, CFA, is Director in the CFA and CIPM Programs Division at CFA Institute. Before coming to CFA Institute in 2002, he consulted in investment planning, portfolio analysis, and quantitative analysis. He holds an MBA from Baruch College and a PhD in finance from the Stern School. Pinto earned his CFA charter in 1992. DAVID E. RUNKLE, CFA, is Vice President and Research Manager at U.S. Bancorp Piper Jaffray. He is an adjunct professor of finance in the Carlson School of Management at the University of Minnesota. Runkle received a BA in economics from Carleton College and a PhD in economics from MIT.

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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