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Richard A. DeFusco CFA, McLeavey D.W., Runkle D.E. — Quantitative Methods For Investment Analysis
Richard A. DeFusco CFA, McLeavey D.W., Runkle D.E. — Quantitative Methods For Investment Analysis



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Íàçâàíèå: Quantitative Methods For Investment Analysis

Àâòîðû: Richard A. DeFusco CFA, McLeavey D.W., Runkle D.E.

Àííîòàöèÿ:

As part of the CFA Institute Investment Series, the Second Edition of Quantitative Investment Analysis has been designed for a wide range of individuals, from graduate-level students focused on finance to practicing investment professionals. This globally relevant guide will help you understand quantitative methods and apply them to today's investment process.

In this latest edition, the distinguished team of Richard DeFusco, Dennis McLeavey, Jerald Pinto, and David Runkle update information associated with this discipline; improve the presentation and coverage of several major areas, including regression, time series, and multifactor models; and introduce an even greater variety of investment-oriented examples—which reflect the changes currently taking place in the investment community. Throughout the text, special attention is paid to ensuring the even treatment of subject matter, consistency of mathematical notation, and continuity of topic coverage that is so critical to the learning process.
Valuable for self-study and general reference, this book provides clear, example-driven coverage of a wide range of quantitative methods. Topics discussed include:

* The time value of money
* Discounted cash flow applications
* Common probability distributions
* Sampling and estimation
* Hypothesis testing
* Correlation and regression
* Multiple regression and issues in regression analysis
* Time-series analysis
* Portfolio concepts

And to further enhance your understanding of the tools and techniques presented here,don't forget to pick up the Quantitative Investment Analysis Workbook, Second Edition—an essential guide containing learning outcomes and summary overview sections along with challenging problems and solutions.
With each author bringing his own unique experiences and perspectives to the table, the Second Edition of Quantitative Investment Analysis distills the knowledge, skills, and abilities you need to succeed in today's fast-paced financial environment. Filled with in-depth insights and practical advice, Quantitative Investment Analysis, Second Edition offers a comprehensive treatment of quantitative methods that combines best practices with solid theory.


ßçûê: en

Ðóáðèêà: Ýêîíîìèêà è ôèíàíñû/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Èçäàíèå: 2

Ãîä èçäàíèÿ: 2007

Êîëè÷åñòâî ñòðàíèö: 721

Äîáàâëåíà â êàòàëîã: 11.03.2010

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Sharpe ratio, negative      142
Sharpe ratio, portfolio choice and      620 621 622
Sharpe ratio, positive      142
Sharpe ratio, safety-first ratio versus      258
Sharpe ratio, Spearman rank correlation and      358—359
Shortfall risk      257 259
Shorting stock      184
Shrinkage estimators      625
Simulation trial      267
Skewed/skewness in return distribution      144 146—149
Spearman rank correlation      357—360
Standard deviation, definitions      129 195
Standard deviation, equity market returns      135
Standard deviation, interpreting      139 195
Standard deviation, using      135
Standard error of estimate (SEE)      401—403 407
Standard error of sample mean      292
Standardized beta definition      643
standardizing      255
Stationarity tests      489—490
Statistical concepts and market returns      87—177
Statistical concepts and market returns, fundamental concepts, some      88—91
Statistical concepts and market returns, geometric and arithmetic means, using      153—155
Statistical concepts and market returns, graphic presentation of data      99—103
Statistical concepts and market returns, introduction      88
Statistical concepts and market returns, kurtosis in return distribution      149—153
Statistical concepts and market returns, measurement scales      89—91
Statistical concepts and market returns, measures of central tendency      103—120
Statistical concepts and market returns, measures of dispersion      126—144
Statistical concepts and market returns, populations and samples      89
Statistical concepts and market returns, quantiles as measure of locations      120—126
Statistical concepts and market returns, summarizing data using frequency distributions      91—99
Statistical concepts and market returns, summary      155—157
Statistical concepts and market returns, symmetry and skewness in return distributions      144—149
Statistical factor models      634 652
Statistical inference      88 89 295 325 see
Statistics, definitions      88 89 286
Statistics, descriptive      88—89
Statistics, inferential      88
Statistics, nature of      88—89
Statistics, sampling distribution of      287 292
Statistics, test      327
Stratified random sampling      288—289
Stress testing/scenario analysis      260
Student's t-distribution table      688
Summarizing data using frequency distributions      91—99
Surprise definition      634
Survey of Professional Forecasters (SPP)      384
Survivorship bias in sample selection      308—309 310—311 333
Symmetry and skewness in return distributions      144—149
Systematic factors      633
T-bill      see "U.S. Treasury bill"
t-test      335—336 339 342 347 357 406
Target semideviation      136 137
Target semivariance      136 137
Time value of money (TVM)      1—55
Time value of money (TVM), examples      6—8 9—10 11 14 16—17 18 19—20 20—22 23 24 25 27—28 29—30 30—33
Time value of money (TVM), future value of series of cash flows      13—15
Time value of money (TVM), future value of single cash flow      4—13
Time value of money (TVM), interest rates interpretation      2—3
Time value of money (TVM), introduction      1—2
Time value of money (TVM), present value of series of cash flows      18—26
Time value of money (TVM), present value of single cash flow      15—18
Time value of money (TVM), solving for rates, number of periods, or size of annuity payments      26—35
Time value of money (TVM), stationary      529
Time value of money (TVM), summary      36
Time-period bias in sample selection      310 311 333
Time-series analysis      515—585
Time-series analysis, autocorrelations      529—530
Time-series analysis, autoregressive conditional heteroskedasticity models      559—562 568
Time-series analysis, autoregressive models      see "Autoregressive (AR) time-series models"
Time-series analysis, autoregressive moving-average models      558—559
Time-series analysis, chain rule of forecasting      533
Time-series analysis, challenges of working with      517—518
Time-series analysis, cointegrated      563 564
Time-series analysis, comparing forecast model performance      536—538
Time-series analysis, data      105 396 418 449
Time-series analysis, definition      516
Time-series analysis, examples      516—517 519—521 522—526 531—532 533—536 537—538 539—540 542—544 546—548 549 552—553 553—558 560—561 562 563 564—565
Time-series analysis, first-differencing      543
Time-series analysis, forecasting steps, suggested      566—568
Time-series analysis, instability of regression coefficients      538—540
Time-series analysis, introduction      516—517
Time-series analysis, logical ordering of      526
Time-series analysis, mean reversion      532—533
Time-series analysis, misspecifications      486—490
Time-series analysis, moving-average model      548—553 567
Time-series analysis, multiperiod forecasts      533
Time-series analysis, random walks      490 541—545
Time-series analysis, regressions with multiple      562—566
Time-series analysis, seasonality in models      553—558 567 568
Time-series analysis, stationary      545
Time-series analysis, summary      568—570
Time-series analysis, trend models      see "Trend models in time series"
Time-series analysis, uncertainty of forecasts      566
Time-series analysis, unit root tests      see "Unit root tests"
Time-series and cross-sectional data      289—291
Time-weighted rate of return      66 67—72
Time-weighted rate of return, computation steps      67
Time-weighted rate of return, definition      67
Time-weighted rate of return, examples      69—72
Total probability for expected value      197
Total probability rule      192 193—194
Tracking error (TE)      242 243 655
Tracking risk      242 243 655
Tree diagram      197—198
Trend models in time series      518—527
Trend models in time series for correlated errors      526—527
Trend models in time series, Durbin — Watson test and      526—527
Trend models in time series, examples      519—521 522—526
Trend models in time series, linear      518—521
Trend models in time series, log-linear      521—526 527
Trimmed mean      107
U.S. Treasury bill(s)      3
U.S. Treasury bill(s) as pure discount instrument      72—73 75
U.S. Treasury bill(s) as risk-free asset      609
U.S. Treasury bill(s), equivalents, other countries      3
U.S. Treasury bill(s), face value of      72
U.S. Treasury bill(s), quoting conventions for      73
Unbiased estimator      296
Uniform distribution, continuous      246—249
Unit root test      see also "Dickey — Fuller test for unit root"
Unit root test of nonstationarity      545—548
Unit root test, examples      562 563 565
Unit root test, Fisher effect and      562
Unit root test, time series regressions and      562—564
Univariate distribution      251
Value at Risk (VaR)      260
Variable(s), dummy      458—462
Variable(s), models with qualitative dependent variables      490—492
Variable(s), random      180
Variance      195—196
Variance of binomial random variables      243
Variance of return      205
Variance, analysis of (ANOVA)      335 413—415 445 454—456
Variance, conditional      198—199
Variance, conditional versus unconditional      198—199
Variance, definitions      129 195
Variance, hypothesis tests concerning      351—356
Variance, portfolio expected return and variance of return      202—211
Variation, coefficient of      139—140
Volatility      264—265
Weighted mean      112—115
Weighted mean formula      113
Weighted-average cost of capital (WACC)      58
White-corrected standard errors      468
Winsorized mean      107
Working capital management      58
Yield definition      74
Yield to maturity (YTM)      see "Internal rate of return"
z-test alternative      339—340 341—342
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