index analysis of financial time series

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Index ACD, see Autoregressive conditional duration Activation function, see Neural network Airline model, 75 Akaike information criterion (AIC), 41, 356 Arbitrage, 391 Autoregressive conditional hetereoscedastic (ARCH) effect, 101 Autoregressive conditional hetereoscedastic (ARCH) model, 102 estimation, 107 t distribution, 108 GED innovation, 108 normal, 107 Arranged autoregression, 189 Augmented DickeyFuller test, 69 Autocorrelation function (ACF), 26 Autoregressive conditional duration (ACD) model, 227 exponential, 228 generalized Gamma, 229 threshold, 236 Weibull, 228 Autoregressive integrated moving-average (ARIMA) model, 67 Autoregressive model, 32 estimation, 43 forecasting, 47 order, 41 stationarity, 40 Autoregressive moving-average (ARMA) model, 56 forecasting, 61 Back propagation (BP) neural network, 180 Back-shift operator, 36 Bartlett’s formula, 27 Analysis of Financial Time Series, Second Edition By Ruey S. Tsay Copyright © 2005 John Wiley & Sons, Inc. Bayesian information criterion (BIC), 42 Bid–ask bounce, 211 Bid–ask spread, 211 Bilinear model, 156 BlackScholes differential equation, 263 BlackScholes formula European call option, 97, 265 European put option, 265 Brownian motion, 255 geometric, 258 standard, 253 Business cycle, 37 Canonical correlation analysis, 385 Characteristic equation, 40 Characteristic root, 36, 40 Cholesky decomposition, 350, 397, 455 Co-integration, 82, 376 Co-integration test maximum eigenvalue, 385 trace, 385 Common factor, 477 Common trend, 378 Companion matrix, 354 Compounding, 4 Conditional distribution, 8 Conditional forecast, 48 Conditional heteroscedasticity, 86 HAC covariance estimator, 86 Conditional heteroscedasticity ARMA (CHARMA) model, 131 Conditional likelihood method, 53 Conjugate prior, see Distribution 601

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  • Index

    ACD, see Autoregressive conditional durationActivation function, see Neural networkAirline model, 75Akaike information criterion (AIC), 41, 356Arbitrage, 391Autoregressive conditional hetereoscedastic

    (ARCH) effect, 101Autoregressive conditional hetereoscedastic

    (ARCH) model, 102estimation, 107

    t distribution, 108GED innovation, 108normal, 107

    Arranged autoregression, 189Augmented DickeyFuller test, 69Autocorrelation function (ACF), 26Autoregressive conditional duration (ACD)

    model, 227exponential, 228generalized Gamma, 229threshold, 236Weibull, 228

    Autoregressive integrated moving-average(ARIMA) model, 67

    Autoregressive model, 32estimation, 43forecasting, 47order, 41stationarity, 40

    Autoregressive moving-average(ARMA) model, 56

    forecasting, 61

    Back propagation (BP) neural network, 180Back-shift operator, 36Bartletts formula, 27

    Analysis of Financial Time Series, Second Edition By Ruey S. TsayCopyright 2005 John Wiley & Sons, Inc.

    Bayesian information criterion(BIC), 42

    Bidask bounce, 211Bidask spread, 211Bilinear model, 156BlackScholes

    differential equation, 263BlackScholes formula

    European call option, 97, 265European put option, 265

    Brownian motion, 255geometric, 258standard, 253

    Business cycle, 37

    Canonical correlation analysis, 385Characteristic equation, 40Characteristic root, 36, 40Cholesky decomposition, 350, 397, 455Co-integration, 82, 376Co-integration test

    maximum eigenvalue, 385trace, 385

    Common factor, 477Common trend, 378Companion matrix, 354Compounding, 4Conditional distribution, 8Conditional forecast, 48Conditional heteroscedasticity, 86

    HAC covariance estimator, 86Conditional heteroscedasticity ARMA

    (CHARMA) model, 131Conditional likelihood method, 53Conjugate prior, see Distribution

    601

  • 602 INDEX

    Correlationcoefcient, 25constant, 459time-varying, 464

    Cost-of-carry model, 390Covariance matrix, 340Cross-correlation matrix, 340, 341Cross-validation, 170

    Data3M stock return, 19, 59, 66, 164Cisco stock return, 260, 472, 480Citi-Group stock return, 19Civilian employment number, 412consumer price index, 412equal-weighted index, 19, 52, 54, 91, 157, 190GE stock return, 591Hewlett-Packard stock return, 423Hong Kong market index, 445IBM stock return, 19, 28, 126, 135, 136, 161,

    180, 190, 259, 292, 295, 298, 300, 307,313, 323, 343, 423, 462, 478, 573

    IBM transactions, 213, 215, 219, 223, 234, 240Intel stock return, 19, 100, 109, 299, 423, 472,

    480Japan market index, 445Johnson and Johnsons earning, 72Mark/Dollar exchange rate, 104Merrill Lynch stock return, 423Microsoft stock return, 19Morgan Stanley Dean Witter stock return, 423SP 500 excess return, 116, 132SP 500 index futures, 390, 392SP 500 index return, 135, 138, 141, 343, 462,

    472, 478, 569, 573, 586SP 500 spot price, 392U.S. 3-month treasury bill rate, 173U.S. government bond, 21, 345, 431U.S. interest rate, 21, 80, 556, 564U.S. monthly unemployment rate, 159U.S. real GNP, 38, 165U.S. unemployment rate, 194value-weighted index, 19, 28, 41, 91, 126, 190

    Data augmentation, 544Decomposition model, 221Descriptive statistics, 19Diagonal VEC model, 447DickeyFuller test, 68Differencing, 68

    seasonal, 74Distribution

    beta, 549conjugate prior, 548double exponential, 276

    Frechet family, 303gamma, 243, 549generalized error, 108generalized extreme value, 302generalized Gamma, 245generalized Pareto, 320, 330inverted chi-squared, 551Laplacian, 275multivariate t , 482multivariate normal, 399, 549negative binomial, 550Poisson, 550posterior, 548prior, 548Weibull, 244

    Diurnal pattern, 212Donskers theorem, 254Duration

    between trades, 215model, 225

    DurbinWatson statistic, 85

    EGARCH model, 124forecasting, 128

    Eigenvalue, 396Eigenvector, 396EM algorithm, 544Error-correction model, 380Estimation, extreme value parameter, 304Exact likelihood method, 53Exceedance, 318Exceeding times, 318Excess return, 5Extended autocorrelation function, 59Extreme value theory, 301

    Factor analysis, 426Factor mimicking portfolio, 420Factor model

    common factor, 406estimation, 428factor loading, 406specic factor, 406

    Factor rotation, varimax, 429Filtering, 493Forecast

    horizon, 47origin, 47

    Forecast updating formula, 513Forecasting, see Markov chain Monte Carlo

    methodForward ltering and backward sampling, 583Fractional differencing, 89

  • INDEX 603

    GARCH model, 114Cholesky decomposition, 468diagonal multivariatemultivariate, 459time-varying correlation, 466

    GARCH-M model, 123, 588Generalized least squares, 415Generalized Pareto distribution, 320Geometric ergodicity, 158Gibbs sampling, 545Global minimum variance portfolio, 411Griddy Gibbs, 553

    Hazard function, 245Hh function, 281Hill estimator, 306Hyperparameter, 554

    Identiability, 371IGARCH model, 122, 290Implied volatility, 98Impulse response function, 63, 362Innovation, 31Inverted yield curve, 82Invertibility, 52, 379Invertible ARMA model, 62Itos lemma, 258

    multivariate, 273Ito process, 256

    Joint distribution function, 7Jump diffusion, 275

    Kalman lter, 496, 524Kalman gain, 495, 524Kernel, 168

    bandwidth, 169Epanechnikov, 169Gaussian, 169

    Kernel regression, 168Kurtosis, 9

    excess, 9

    Lag operator, 36Lead-lag relationship, 341Leptokurtic, 9Leverage effect, 99, 125, 579Likelihood function, 17Linear time series, 31Liquidity, 210LjungBox statistic, 27, 101

    multivariate, 346

    Local linear regression, 173Local trend model, 491Log return, 5Logit model, 239Long position, 6Long-memory

    stochastic volatility, 135time series, 89

    Marginal distribution, 7Market model, 408Markov chain Monte Carlo method (MCMC),

    177, 594Markov process, 543Markov property, 32Markov switching model, 164, 588Martingale difference, 114Maximum likelihood estimate (MLE),

    exact, 368Mean equation, 101Mean excess function, 321Mean excess plot, 321Mean reversion, 49, 63

    half-life, 49Metropolis algorithm, 551MetropolisHasting algorithm, 552Missing value, 531, 558Model checking, 44Moment of a random variable, 8Moving-average model, 50

    NadarayaWatson estimator, 169Neural network, 177

    activation function, 178feed-forward, 177skip layer, 179

    Neuron, see Neural networkNode, see Neural networkNonlinearity test, 183

    Brock-Dechert-Scheinkman (BDS), 185bispectral, 184F-test, 188Keenan, 187RESET, 186Tar-F, 190

    Nonstationarity, unit-root, 64Nonsynchronous trading, 207Nuisance parameter, 188

    OptionsAmerican, 252at-the-money, 252European call, 97

  • 604 INDEX

    in-the-money, 252out-of-the-money, 252stock, 252strike price, 97, 252

    Order statistics, 299Ordered probit model, 218Orthogonal factor model, 427Outlier

    additive, 558detection, 561

    Parametric bootstrap, 192Partial autoregressive function (PACF), 40Peaks over thresholds, 318 -weight, 62Pickands estimator, 306Platykurtic, 9Poisson process, 275

    inhomogeneous, 329intensity function, 322

    Portmanteau test, 27. See also LjungBoxstatistic

    Positive denite matrix, 396Prediction, 493Present value, 4Price change and duration (PCD) model, 238Principal component analysis, 421, 478-weight, 31Put-call parity, 266

    Quantile, 8denition, 289

    R-square, 46adjusted, 47

    Random coefcient (RCA) model, 133Random walk, 64

    with drift, 65Realized volatility, 141, 492Reduced form model, 349Regression, with time series errors, 80Return level, 317

    stress period, 317RiskMetrics, 290

    Sample autocorrelation, 26Scree plot, 425Seasonal adjustment, 72Seasonal model, 72

    multiplicative, 75

    Shape parameter of a distribution, 302Shock, 31, 48, 101Short position, 6Simple return, 3Skewness, 9Smoothed disturbance, 528Smoothing, 167, 493Square root of time rule, 291Standard Brownian motion, 69State space model, 509

    nonlinear, 176Stationarity, 25

    weak, 340Steady state, 525Stochastic diffusion equation, 256Stochastic volatility model, 134, 565

    multivariate, 571Structural equation, 350Structural form, 350Structural time series model (STSM), 491, 521Student-t distribution

    standardized, 108Survival function, 322

    Tail index, 302TGARCH model, 130

    general form, 161Threshold, 159Threshold autoregressive model

    multivariate, 392self-exciting, 159smooth, 163

    Threshold co-integration, 392Time plot, 17Transactions data, 212Trend stationary model, 67

    Unit-root test, 68Unit-root time series, 64Unobserved component model, 521

    Value at Risk (VaR), 287, 480econometric approach, 294homogeneous Poisson process, 324inhomogeneous Poisson process, 328RiskMetrics, 290of a short position, 316traditional extreme value, 312

    Vector autoregressive (VAR) model, 349Vector ARMA model, 371

    marginal models, 375

  • INDEX 605

    Vector moving average model, 365VIX Volatility Index, 98Volatility, 97Volatility equation, 101Volatility model

    factor, 477Volatility smile, 274

    Weighted least squares, 415White noise, 31Wiener process, 253

    generalized, 255

    YuleWalker equationmultivariate, 354