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Quantitative Methods for Investment Analysis

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ISBN-10: 0935015698

ISBN-13: 9780935015690

Edition: 1st 2001

Authors: Richard A. DeFusco, Dennis W. McLeavey, Jerald E. Pinto, David E. Runkle

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Book details

Edition: 1st
Copyright year: 2001
Publisher: CFA Institute
Binding: Hardcover
Pages: 664
Language: English

RICHARD A. DEFUSCO, CFA, is an Associate Professor of Finance at the University of Nebraska-Lincoln (UNL). He earned his CFA charter in 1999. DeFusco is a member of the Omaha-Lincoln Society of Financial Analysts, and 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.DENNIS W. MCLEAVEY, CFA, is Head of Professional Development Products at CFA Institute. During his twenty-five year academic career, he has taught at The University of Western Ontario, the University of Connecticut, the University of Rhode Island (where he founded a student-managed fund), and Babson College. McLeavey…    

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…    

Forewordp. v
Prefacep. vii
Acknowledgmentsp. ix
About the Authorsp. xi
The Time Value of Moneyp. 1
Interest Rates and Discount Ratesp. 1
The Future Value of a Single Cash Flowp. 3
The Future Value of a Series of Cash Flowsp. 11
The Present Value of a Single Cash Flowp. 14
The Present Value of a Series of Cash Flowsp. 17
Solving for Rates, Number of Periods, or Size of Annuity Paymentsp. 24
Almost-Even Cash Flowsp. 31
Summaryp. 36
Problemsp. 37
Solutionsp. 39
Discounted Cash Flow Applicationsp. 53
Discounted Cash Flow Analysisp. 54
Money Market Yieldsp. 60
Basic Bond Valuationp. 65
Basic Equity Valuationp. 72
Portfolio Return Measurementp. 81
Summaryp. 87
Problemsp. 90
Solutionsp. 93
Statistical Concepts and Market Returnsp. 101
The Nature of Statisticsp. 102
Frequency Distributionsp. 104
Graphic Presentationp. 111
Measures of Central Tendencyp. 115
Measures of Dispersion and Their Applicationsp. 130
Symmetry and Skewness in Return Distributionsp. 138
Kurtosis in Return Distributionsp. 142
Using Geometric and Arithmetic Meansp. 144
Summaryp. 147
Problemsp. 148
Solutionsp. 154
Probability Conceptsp. 173
Introductionp. 174
Probability, Expected Value, and Variancep. 175
Portfolio Expected Return and Variancep. 195
Topics in Probabilityp. 204
Summaryp. 211
Problemsp. 214
Solutionsp. 218
Common Probability Distributionsp. 225
Introduction to Common Probability Distributionsp. 226
Discrete Random Variablesp. 227
Continuous Random Variablesp. 240
Monte Carlo Simulationp. 261
Summaryp. 266
Problemsp. 269
Solutionsp. 273
Sampling and Estimationp. 279
Introductionp. 280
Samplingp. 280
Distribution of the Sample Meanp. 286
Point and Interval Estimates of the Population Meanp. 289
More on Samplingp. 298
Summaryp. 302
Problemsp. 305
Solutionsp. 308
Hypothesis Testingp. 315
Introductionp. 316
Hypothesis Testingp. 317
Hypothesis Tests Concerning the Meanp. 326
Hypothesis Tests Concerning Variancep. 341
Other Issues in Inferencep. 345
Summaryp. 347
Problemsp. 350
Solutionsp. 355
Correlation and Regressionp. 361
Introductionp. 362
Correlation Analysisp. 363
Linear Regressionp. 379
Summaryp. 403
Problemsp. 405
Solutionsp. 417
Multiple Regression and Issues in Regression Analysisp. 427
Introductionp. 428
Multiple Linear Regressionp. 428
Using Dummy Variables in Regressionsp. 439
Heteroskedasticityp. 445
Serial Correlationp. 450
Multicollinearityp. 457
Heteroskedasticity, Serial Correlation, and Multicollinearity: Summarizing the Issuesp. 459
Models with Qualitative Dependent Variablesp. 460
Summaryp. 462
Problemsp. 465
Solutionsp. 477
Time Series Analysisp. 487
Introduction to Time Series Analysisp. 488
Trendsp. 491
The Limitations of Trend Modelsp. 497
Fundamental Issues in Time Seriesp. 498
Autoregressive Time-Series Modelsp. 500
Random Walks and Unit Rootsp. 512
Moving-Average Time-Series Modelsp. 521
Seasonality in Time-Series Modelsp. 525
Autoregressive Moving-Average Modelsp. 531
Autoregressive Conditional Heteroskedasticityp. 532
Other Issues in Time Seriesp. 535
Suggested Steps in Time-Series Forecastingp. 536
Summaryp. 538
Problemsp. 540
Solutionsp. 550
Portfolio Conceptsp. 557
Introductionp. 559
Mean-Variance Analysis and Diversificationp. 560
Practical Issues in Mean-Variance Analysisp. 593
Multifactor Modelsp. 598
Summaryp. 619
Problemsp. 627
Solutionsp. 630
Cumulative Probabilities for a Standard Normal Distribution P(Z [less than or equal] x) = N(x) for x [greater than or equal] 0 or P(Z [less than or equal] z) = N(z) for z [greater than or equal] 0p. 636
Table of the Student's t-Distribution (One-Tailed Probabilities)p. 638
Values of x[superscript 2] (Degrees of Freedom, Level of Significance)p. 639
Table of the F-Distributionp. 640
Critical Values for the Durbin-Watson Statistic ([alpha] = .05)p. 644
Referencesp. 645
Glossaryp. 649
Indexp. 659
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