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330.115 --- modeles economiques --- econometrie --- Econometrie --- economische modellen --- Bayesian statistical decision theory. --- Econometric models. --- Econometrie. --- 330.115 Econometrie --- 330.01519542 --- Bayesian statistical decision theory --- Econometric models --- Econometrics --- Mathematical models --- Bayes' solution --- Bayesian analysis --- Statistical decision --- 303.6 --- 305.970 --- AA / International- internationaal --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Algemeenheden: Autoregression and moving average representation. ARIMA. ARMAX. Lagrange multiplier. Wald. Function (mis) specification. Autocorrelation. Homoscedasticity. Heteroscedasticity. ARCH. GARCH. Integration and co-integration. Unit roots
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This monograph is concerned with the statistical analysis of multivariate systems of non-stationary time series of type I. It applies the concepts of cointegration and common trends in the framework of the Gaussian vector autoregressive model.
Wiskundige economie. --- Autoregression (Statistics) --- Autorégression (Statistique) --- Autoregression (statistics) --- Autoregression (Statistics). --- Autorégression (Statistique) --- Econometric models --- 330.015195 --- Econometrics --- economische modellen --- 303.0 --- 303.3 --- 305.0 --- 305.970 --- AA / International- internationaal --- 330.115 --- Mathematical models --- Regression analysis --- Stochastic processes --- 330.115 Econometrie --- Econometrie --- modèles économiques --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Waarschijnlijkheid. Probabiliteit. Nauwkeurigheid. Residuals: measurement and specification (wiskundige statistiek) --- Toegepaste econometrie en statistiek (algemene naslagwerken). Statistische onderzoekingen en studiën --- Algemeenheden: Autoregression and moving average representation. ARIMA. ARMAX. Lagrange multiplier. Wald. Function (mis) specification. Autocorrelation. Homoscedasticity. Heteroscedasticity. ARCH. GARCH. Integration and co-integration. Unit roots --- Mathematical statistics --- Quantitative methods (economics) --- Econometric models. --- E-books --- Modèles économétriques --- Econometrics.
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Over the past 25 years, applied econometrics has undergone tremen dous changes, with active developments in fields of research such as time series, labor econometrics, financial econometrics and simulation based methods. Time series analysis has been an active field of research since the seminal work by Box and Jenkins (1976), who introduced a gen eral framework in which time series can be analyzed. In the world of financial econometrics and the application of time series techniques, the ARCH model of Engle (1982) has shifted the focus from the modelling of the process in itself to the modelling of the volatility of the process. In less than 15 years, it has become one of the most successful fields of 1 applied econometric research with hundreds of published papers. As an alternative to the ARCH modelling of the volatility, Taylor (1986) intro duced the stochastic volatility model, whose features are quite similar to the ARCH specification but which involves an unobserved or latent component for the volatility. While being more difficult to estimate than usual GARCH models, stochastic volatility models have found numerous applications in the modelling of volatility and more particularly in the econometric part of option pricing formulas. Although modelling volatil ity is one of the best known examples of applied financial econometrics, other topics (factor models, present value relationships, term structure 2 models) were also successfully tackled.
Stocks --- Stock exchanges --- Day trading (Securities) --- Prices --- Econometric models --- 330.115 --- 336.76 --- -Stock exchanges --- -Day trading (Securities) --- -bourse --- marche des capitaux --- modeles economiques --- AA / International- internationaal --- 333.613 --- 305.970 --- 305.8 --- 307.331 --- 304.2 --- Daytrading (Securities) --- Electronic trading of securities --- Bulls and bears --- Commercial corners --- Corners, Commercial --- Equity markets --- Exchanges, Securities --- Exchanges, Stock --- Securities exchanges --- Stock-exchange --- Stock markets --- Capital market --- Efficient market theory --- Speculation --- Common shares --- Common stocks --- Equities --- Equity capital --- Equity financing --- Shares of stock --- Stock issues --- Stock offerings --- Stock trading --- Trading, Stock --- Securities --- Bonds --- Corporations --- Going public (Securities) --- Stock repurchasing --- Stockholders --- Econometrie --- Beurswezen. Geldmarkt. Valutamarkt. Binnenlandse geldmarkt. Valutamarkt --- -Econometric models --- beurs --- kapitaalmarkt --- economische modellen --- Activiteiten van de nationale en internationale markten. Beursnoteringen van aandelen en obligaties. --- Algemeenheden: Autoregression and moving average representation. ARIMA. ARMAX. Lagrange multiplier. Wald. Function (mis) specification. Autocorrelation. Homoscedasticity. Heteroscedasticity. ARCH. GARCH. Integration and co-integration. Unit roots. --- Econometrie van de investeringen, het gedrag van de onderneming. --- Statistieken van de noteringen van de effecten. --- Trendanalyse. Tendenties van lange duur. --- 336.76 Beurswezen. Geldmarkt. Valutamarkt. Binnenlandse geldmarkt. Valutamarkt --- 330.115 Econometrie --- bourse --- Prices&delete& --- Trendanalyse. Tendenties van lange duur --- Econometrie van de investeringen, het gedrag van de onderneming --- Algemeenheden: Autoregression and moving average representation. ARIMA. ARMAX. Lagrange multiplier. Wald. Function (mis) specification. Autocorrelation. Homoscedasticity. Heteroscedasticity. ARCH. GARCH. Integration and co-integration. Unit roots --- Statistieken van de noteringen van de effecten --- Activiteiten van de nationale en internationale markten. Beursnoteringen van aandelen en obligaties --- Econometrics. --- International economics. --- Economic theory. --- Finance. --- International Economics. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Finance, general. --- Funding --- Funds --- Economics --- Currency question --- Economic theory --- Political economy --- Social sciences --- Economic man --- Economic policy, Foreign --- Economic relations, Foreign --- Economics, International --- Foreign economic policy --- Foreign economic relations --- Interdependence of nations --- International economic policy --- International economics --- New international economic order --- Economic policy --- International relations --- Economic sanctions --- Economics, Mathematical --- Statistics --- Stocks - Prices - Econometric models --- Stock exchanges - Econometric models --- Day trading (Securities) - Econometric models
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The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results. The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.
519.246 --- Time-series analysis --- modeles economiques --- AA / International- internationaal --- 303.0 --- 304.0 --- 306.5 --- 519.55 --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- economische modellen --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Statistische analyse (methodologie). --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Time-series analysis. --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Statistische analyse (methodologie) --- Stochastic processes --- Statistical science --- Série chronologique --- Absolute summability. --- Autocovariance. --- Bartlett kernel. --- Block exogeneity. --- Cointegrating vector. --- Consumption spending. --- Cospectrum. --- Dickey-Fuller test. --- EM algorithm. --- Exchange rates. --- Filters. --- Fundamental innovation. --- Gamma distribution. --- Global identification. --- Gross national product. --- Hessian matrix. --- Inequality constraints. --- Invertibility. --- Jacobian matrix. --- Joint density. --- Khinchine's theorem. --- Kronecker product. --- Lagrange multiplier. --- Loss function. --- Mean-value theorem. --- Mixingales. --- Monte Carlo method. --- Newton-Raphson. --- Order in probability. --- Orthogonal. --- Permanent income. --- Quadrature spectrum. --- Recessions. --- Reduced form. --- Sample periodogram. --- Stock prices. --- Taylor series. --- Vech operator. --- Time series analysis
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