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Alexander C. — Market Models: A Guide to Financial Data Analysis
Alexander C. — Market Models: A Guide to Financial Data Analysis



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Íàçâàíèå: Market Models: A Guide to Financial Data Analysis

Àâòîð: Alexander C.

Àííîòàöèÿ:

Market Models provides an authoritative and up-to-date treatment of the use of market data to develop models for financial analysis. Written by a leading figure in the field of financial data analysis, this book is the first of its kind to address the vital techniques required for model selection and development. Model developers are faced with many decisions, about the pricing, the data, the statistical methodology and the calibration and testing of the model prior to implementation. It is important to make the right choices and Carol Alexander's clear exposition provides valuable insights at every stage.
In each of the 13 Chapters, Market Models presents real world illustrations to motivate theoretical developments. The accompanying CD contains spreadsheets with data and programs; this enables you to implement and adapt many of the examples. The pricing of options using normal mixture density functions to model returns; the use of Monte Carlo simulation to calculate the VaR of an options portfolio; modifying the covariance VaR to allow for fat-tailed P&L distributions; the calculation of implied, EWMA and 'historic' volatilities; GARCH volatility term structure forecasting; principal components analysis; and many more are all included.
Carol Alexander brings many new insights to the pricing and hedging of options with her understanding of volatility and correlation, and the uncertainty which surrounds these key determinants of option portfolio risk. Modelling the market risk of portfolios is covered where the main focus is on a linear algebraic approach; the covariance matrix and principal component analysis are developed as key tools for the analysis of financial systems. The traditional time series econometric approach is also explained with coverage ranging from the application cointegration to long-short equity hedge funds, to high-frequency data prediction using neural networks and nearest neighbour algorithms.
Throughout this text the emphasis is on understanding concepts and implementing solutions. It has been designed to be accessible to a very wide audience: the coverage is comprehensive and complete and the technical appendix makes the book largely self-contained.
Market Models: A Guide to Financial Data Analysis is the ideal reference for all those involved in market risk measurement, quantitative trading and investment analysis.


ßçûê: en

Ðóáðèêà: Ýêîíîìèêà è ôèíàíñû/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 2001

Êîëè÷åñòâî ñòðàíèö: 494

Äîáàâëåíà â êàòàëîã: 19.09.2006

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Correlation, portfolio diversification      186—187
Correlation, positive/negative      6 8
Correlation, principal component analysis (PCA)      143
Correlation, quanto correlation      46—47
Correlation, scatter plots      8
Correlation, statistical nature      5—9
Correlation, time horizons      18
Correlogam      333—335
Counter-monotonic dependency      8
Covariance forecasts      50 109
Covariance matrices, applications      180—201
Covariance matrices, capital asset pricing model (CAPM)      115 238
Covariance matrices, Cholesky decomposition      182 183—184
Covariance matrices, diagonal      141 144 146 206
Covariance matrices, exponentially weighted moving average (EWMA)      180 184 204 206—210
Covariance matrices, large dimensions      108 112
Covariance matrices, linear portfolios      180—182
Covariance matrices, meaning      179
Covariance matrices, minimum variance portfolios      187—192
Covariance matrices, orthogonality      144 180 204—227
Covariance matrices, portfolio risk      179
Covariance matrices, positive semi-definiteness      116 179 180 181 206 211
Covariance matrices, RiskMetrics data      201—204
Covariance matrices, simplifying assumptions      179
Covariance matrices, splicing methods      220—221 227
Covariance matrices, stress testing      184—185
Covariance matrices, time-varying      114—116
Covariance VaR models, advantages/limitations      266—267
Covariance VaR models, aggregation      266
Covariance VaR models, assumptions      260—261
Covariance VaR models, cash-flow maps      263—265
Covariance VaR models, factor models      262—263
Covariance VaR models, fat tails      285
Covariance VaR models, normal mixture distributions      302—303
Covariance VaR models, RiskMetrics data      260
Covariance VaR models, simple cash portfolios      261—262
Covariance, capital asset pricing model (CAPM)      109
Covariance, co-movements      6—7
Covariance, stationary      14—15
Covariance, VaR (value-at-risk) models      237 250
Credit risk capital requirement (CRR)      252 255
Crude oil, futures      55 60 153 154 212 213
Crude oil, GARCH parameters      77 85
Currency markets, cointegration      366
Currency markets, components GARCH      79
Currency markets, conditional correlation      16 17
Currency markets, conditional volatility      97
Currency markets, convergence      102
Currency markets, correlation estimates      16 17
Currency markets, DEM      102 129—132 349
Currency markets, excess kurtosis      82 301
Currency markets, exchange rates, random walk      75
Currency markets, GBP      16 17 102 132—133
Currency markets, high frequency data      97
Currency markets, I-GARCH      76
Currency markets, implied correlation      45—47
Currency markets, JPY      16 17 102 129—132
Currency markets, market events      102
Currency markets, mean-reverting volatility      75
Currency markets, NLG      349
Currency markets, parameter estimates      101—102
Currency markets, quanto correlation      46—47
Currency markets, symmetric smiles      30
Currency markets, time-varying correlation      15
Currency markets, USD      16 17 101—102 129—133
Currency markets, volatility clustering      65 97
Currency markets, volatility term structures      102
Data problems      see also "Missing data"
Data problems, data errors      437—439
Data problems, dummy variables      440—442
Data problems, multicollinearity      144 172—174 436—437
Data problems, principal component analysis (PCA)      18 144 171—178
DAX 30      85 89 155 217 297 363 364
Delta, Black — Scholes      32 44
Delta, calculation      44 105
Delta, chain rule      44
Delta, constant absolute risk aversion (CARA)      196
Delta, delta-gamma approximations      273—274
Delta, finite difference approximations      105
Delta, hedging      43—45 119 138 139
Delta, neutrality      43 44
Delta, price sensitivity      34 43
Delta, property      196
Delta, sticky delta      35 37
Density, non-normal density function      451—452
Density, normal density function      449—450
Density, price/volatility      41 42 43
Derivatives portfolios, correlated risk factor movements      182—183
Derivatives portfolios, Monte Carlo simulation      182
DFP algorithm      95
Dickey — Fuller (DF) test      325—328
dispersion      4 119
Dow Jones      30 231
Durbin — Hausmann test      328
Durbin — Watson test      431
Dynamic hedging      138—10
E-GARCH      79—80
Efficient frontier, capital allocation      190
Efficient frontier, frontier analysis      186 191
Efficient frontier, mean-variance analysis      201
Efficient frontier, minimum variance portfolios      191
Efficient frontier, optimal portfolios      199 200
Efficient frontier, risk aversion      197
Eigenvalues and Eigenvectors, negative values      184
Eigenvalues and Eigenvectors, orthogonal GARCH      215 217
Eigenvalues and Eigenvectors, principal component analysis (PCA)      145 146 147 149 152 153 154 159
Energy markets, crude oil      55 60 77 85 153 154 212 213
Energy markets, historic correlation      54—57
Energy markets, natural gas futures      54 55 111 326
Engle — Granger methodology      353 354—357 360—361 368
Equity markets, asymmetric distribution      31
Equity markets, Australia      90 91
Equity markets, Brazil      90
Equity markets, cointegration      368—369
Equity markets, convergence      102
Equity markets, economic doom and gloom      31
Equity markets, Hong Kong      90
Equity markets, I-GARCH      76
Equity markets, implied correlation      45—47
Equity markets, index returns, beta      181
Equity markets, jumpy markets      35 36 37—38 44
Equity markets, large price fall      31 99
Equity markets, leverage effect      31 68—69 79
Equity markets, quanto correlation      46—47
Equity markets, range-bounded markets      36 44
Equity markets, Singapore      90
Equity markets, skew      30—31 155
Equity markets, South Africa      90 91
Equity markets, Taiwan      90 91
Equity markets, time-varying correlation      15
Equity markets, trending markets      36 37 44
Equity markets, USA      see "United States"
Equity markets, volatility clustering      65
Equity markets, volatility regimes      34—38
Equity markets, volatility term structures      101—103
Error correction model (ECM), cointegration      347 355 362—366
Error correction model (ECM), price discovery      367
Error correction model (ECM), spread options      367
Error, data errors      437—439
Error, error distributions      82
Error, forecast error      123
Error, GARCH error coefficients      73
Error, mean absolute error      445
Error, mean square error      445
Error, RMSE      see "Root mean square error"
Error, samples      see "Sampling error"
Estima      80
Eviews      84
Excess kurtosis, currency markets      82 301
Excess kurtosis, intra-day returns      285
Excess kurtosis, non-normal returns      286—287 309—311
Excess kurtosis, non-normal symmetric GARCH      73
Excess kurtosis, normal GARCH models      82
Excess kurtosis, option pricing      306
Excess kurtosis, single outliers      67
Excess kurtosis, volatility clustering      66 67
Exponential GARCH      see "E-GARCH"
Exponentially weighted moving average (EWMA), accuracy      119
Exponentially weighted moving average (EWMA), beta      111 167 239
Exponentially weighted moving average (EWMA), combined forecasts      129—132
Exponentially weighted moving average (EWMA), correlation      55 76 111
Exponentially weighted moving average (EWMA), covariance matrices      180 184 204 206—210
Exponentially weighted moving average (EWMA), efficient frontier      187
Exponentially weighted moving average (EWMA), historic correlation      55 76
Exponentially weighted moving average (EWMA), I-GARCH      60 76 111
Exponentially weighted moving average (EWMA), limitations      111
Exponentially weighted moving average (EWMA), look-back periods      58
Exponentially weighted moving average (EWMA), orthogonality      204 206—210 212—214
Exponentially weighted moving average (EWMA), persistence      59 207
Exponentially weighted moving average (EWMA), positive semi-definiteness      184
Exponentially weighted moving average (EWMA), reaction      59 207
Exponentially weighted moving average (EWMA), RiskMetrics data      60 115 163 179 202 203
Exponentially weighted moving average (EWMA), sampling error      111
Exponentially weighted moving average (EWMA), smoothing constant      115 117 163 202 203 204 217
Exponentially weighted moving average (EWMA), squared returns      57—58 207
Exponentially weighted moving average (EWMA), statistical volatility      125
Exponentially weighted moving average (EWMA), variance estimates      127 163
Exponentially weighted moving average (EWMA), volatility estimates      57—58 60
Exponentially weighted moving average (EWMA), volatility forecasts      60 119
Factor GARCH models, volatility      115
Factor models      see also "Multi-factor models"
Factor models, Bayesian estimation      242—245
Factor models, CAPM      see "Capital asset pricing model"
Factor models, cash-flow maps      262
Factor models, covariance VaR models      262—263
Factor models, decomposing risk      230—236
Factor models, factor sensitivities      229 239—246
Factor models, instrumental variables      247
Factor models, linear portfolios      181 187 229
Factor models, linear regression      172
Factor models, portfolio risk      237
Factor models, risk factors      229
Factor models, risk measurement      229—248
Factor models, sources of risk      232
Factor models, specification procedures      246—248
Factor models, statistical      235—236
Factor models, tracking models      229
Fat tails      see also "Leptokurtic distributions"
Fat tails, covariance VaR models      285
Fat tails, financial data      82
Fat tails, GARCH models      125
Fat tails, QQ plots      288—290
Fat tails, return distributions      30 82 125
Financial asset prices, random variables      4
Financial asset prices, stochastic processes      1 3
Financial asset returns, log prices      4
Financial asset returns, stochastic volatility      285
Financial markets, ARCH      71
Financial markets, autocorrelation      63
Financial markets, Black Monday      52—53 57 85 185
Financial markets, capital asset pricing model (CAPM)      230
Financial markets, cointegration      347 366—369
Financial markets, controlling risk      250—255
Financial markets, correlation      8 10 11 12 111
Financial markets, crises      250
Financial markets, deterministic trends      328 329
Financial markets, historic volatility      52—54
Financial markets, jumps      297
Financial markets, lag/persistence coefficients      73
Financial markets, return distributions      119
Financial markets, spot-future correlations      55
Financial markets, trend, testing      328—329
Financial markets, unconditional correlation      15
Financial markets, volatility      9—12 119 250 297
Financial markets, volatility clustering      17 64
Financial markets, volatility forecasts      75 120
Fixed strike volatility, dynamics      159—167
Fixed strike volatility, gamma      160 161 162
Fixed strike volatility, market regimes      159—167
Fixed strike volatility, principal component analysis (PCA)      157 158 159—167 169
Fixed strike volatility, sticky models      38
Forecasts, autoregressive moving average (ARMA)      338—339
Forecasts, hedging performance      124
Forecasts, high frequency data      389—407
Forecasts, operational criteria      124—125
Forecasts, out-of-sample tests      121
Forecasts, parameters      117
Forecasts, post-sample predictions      121 122
Forecasts, statistical criteria      121—124
Forecasts, trading systems      180
Foreign exchange      see "Currency markets"
Frechet distribution      293 294
Frontier analysis      see also "Efficient frontier"
Frontier analysis, short sales      186 191
Futures, cointegration      367
Futures, crude oil      55 60 153 154 212 213
Futures, implied volatility      28
Futures, natural gas      54 55 111 326
Futures, orthogonality      205
Futures, prompt futures      54 56 78 111 326
Futures, spot price, hedging      27
Futures, spot-future correlations      55
Futures, term structures      153—154
Game theory, rationality      21
Gamma, ATM options      44
Gamma, Black — Scholes model      32
Gamma, delta sensitivity, underlying price      43
Gamma, delta-gamma approximations      273—271
Gamma, finite difference approximations      105
GARCH models option hedging      1 98
GARCH models, academic research      63—65
GARCH models, aggregation      82 83
GARCH models, applications      97—98
GARCH models, assumptions      98
GARCH models, asymmetric      see "A-GARCH"
GARCH models, asymmetric power GARCH      81
GARCH models, basic form      64
GARCH models, bivariate      see "Bivariate GARCH"
GARCH models, choosing best      96—97
GARCH models, combined forecasts      129—133
GARCH models, components GARCH      78—79
GARCH models, conditional mean      69—70 100
GARCH models, conditional variance      70 72 73 79 97 98 109
GARCH models, conditional volatility      81 96—97
GARCH models, confidence intervals      128—129
GARCH models, constant (omega)      91
GARCH models, constant correlation      115
GARCH models, convergence      73 75 84 96 97—98
GARCH models, correlation term structures      109
GARCH models, covariance matrices      see "Covariance matrices"
GARCH models, data examination      67
GARCH models, diffusion limits      98
GARCH models, error coefficient      73
GARCH models, estimation problems      96
GARCH models, exponential GARCH (E-GARCH)      79—80
GARCH models, Factor GARCH      115
GARCH models, fat tails      125
GARCH models, first derivatives      95
GARCH models, forward volatilities      98
GARCH models, GJR model      81
GARCH models, gradient vectors      95
GARCH models, high frequency (HARCH)      82—84
GARCH models, implied volatility      106 118
GARCH models, integrated      see "I-GARCH"
GARCH models, intra-day data      82 84
GARCH models, introduction      65—70
GARCH models, lag coefficient      73
GARCH models, Lagrange multiplier (LM) test      67 68
GARCH models, leverage effect      64 68—69 79
GARCH models, likelihood function      91
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