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Time-series analysis --- Série chronologique --- Autoregression (Statistics) --- AA / International- internationaal --- 305.970 --- 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. --- Time-series analysis. --- Autoregression (Statistics). --- Série chronologique --- 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 --- Séries chronologiques --- Processus stochastiques --- Time series analysis --- Econometrie --- Series chronologiques
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Quantitative methods (economics) --- AA / International- internationaal --- 305.970 --- Econometrics. --- Panel analysis. --- Econometrics --- Panel analysis --- 330.015195 --- Panel studies --- 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. --- Social sciences --- Statistics --- Economics, Mathematical --- 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 --- Methodology
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Econometrics. --- AA / International- internationaal --- 303.0 --- 305.970 --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- 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. --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- 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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The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.
Mathematical statistics --- AA / International- internationaal --- 305.970 --- 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. --- Econometrics --- Finance --- Time-series analysis --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Probabilities --- Economics, Mathematical --- Statistics --- Mathematical models --- 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 --- Finance - Mathematical models --- Business, Economy and Management --- Economics --- Econometrics. --- Time-series analysis. --- Mathematical models.
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This book is intended for researchers and graduate students of econometrics.
Quantitative methods (economics) --- Econometrics --- Panel analysis --- 330.115 --- AA / International- internationaal --- 305.970 --- -330.015195 --- Panel studies --- Social sciences --- Statistics --- Econometrie --- 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. --- Econometric models --- Methodology --- Econometrics. --- Panel analysis. --- 330.115 Econometrie --- 330.015195 --- Economics, Mathematical --- 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 --- Econometría --- Modelos econométricos --- Análisis funcional --- Models economètrics
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This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Itô integrals in some detail, with a focus on results needed for the Black-Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Itô formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to Itô calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online.
Finance --- Stochastic processes. --- Options (Finance) --- Finances --- Processus stochastiques --- Options (Finances) --- Mathematical models. --- Modèles mathématiques --- AA / International- internationaal --- 305.970 --- 303.0 --- 51 --- 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. --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Wiskunde. --- Modèles mathématiques --- Stochastic processes --- Random processes --- Probabilities --- Mathematical models --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- 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 --- Wiskunde --- E-books --- Mathematical Sciences --- Probability
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Elements of Financial Time Series fills a gap in the market in the area of financial time series analysis by giving both conceptual and practical illustrations. Examples and discussions in the later chapters of the book make recent developments in time series more accessible. Examples from finance are maximized as much as possible throughout the book. * Full set of exercises is displayed at the end of each chapter. * First seven chapters cover standard topics in time series at a high-intensity level. * Recent and timely developments in nonstandard time series techniques are illustrated with real finance examples in detail. * Examples are systemically illustrated with S-plus with codes and data available on an associated Web site.
Time-series analysis --- Econometrics --- Risk management --- AA / International- internationaal --- 305.970 --- 304.0 --- 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. --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Econometrics. --- Risk management. --- Time-series analysis. --- Analysis of time series --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- 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 --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Insurance --- Management --- Economics, Mathematical --- Statistics
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Sensitivity theory (Mathematics) --- Basic Sciences. Statistics --- Statistical methods. --- Statistics (General) --- Statistics (General). --- 511.8 --- 305.970 --- AA / International- internationaal --- Sensitivity (Mathematics) --- System sensitivity theory (Mathematics) --- Statistical methods --- 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 --- Control theory
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This book provides an introduction to the methods employed in forecasting the future state of the economy. It provides a comprehensive coverage of methods and applications in this fast-growing area and is intended for use in postgraduate and upper-level undergraduate courses. Part I outlines the available techniques, particularly those used in business forecasting and econometric forecasting. The state of the art in time series modelling is reviewed and includes a discussion of Box-Jenkins models, the vector autogressive approach and cointegration. Ways of combining forecasts are also examined in detail. Part II considers the most important applications of forecasting. Applications in microeconomics include demand and sales forecasting, the use of anticipations data, leading indicators and scenario analysis. In macroeconomics the emphasis is on why errors occur in forecasting asset market prices, including implications of the efficient markets hypothesis for foreign markets, stock market prices and commodity market prices. The book ends with a discussion of the appropriateness of various techniques, recent developments in forecasting, and the links between economic forecasting and government policy.
Economic forecasting --- 304.5 --- 305.970 --- 331.061 --- AA / International- internationaal --- Mathematical models --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie --- 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 --- Economische vooruitzichten --- Business, Economy and Management --- Economics --- Mathematical models.
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Heroes --- #SML: Joseph Spae --- J2284 --- S35/0450 --- Heroism --- Persons --- Antiheroes --- Apotheosis --- Courage --- Japan: Genealogy and biography -- biographies by period --- Japan--Literature --- Japan --- Biography. --- Yamato Takeru --- Totoribe no, Yorozu --- Arima --- Sugawara no, Michizane --- Minamoto no, Yoshitsune --- Kusunoki, Masashige --- Amakusa, Shirō --- Ōshio, Heihachirō --- Saigō, Takamori --- Ōnishi, Takijirō
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