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Since the publication of his first book, "Analysis of Financial Time Series, "Ruey Tsay has become one of the most influential and prominent experts on the topic of time series. Different from the traditional and oftentimes complex approach to multivariate (MV) time series, this sequel book emphasizes structural specification, which results in simplified parsimonious VARMA modeling and, hence, eases comprehension. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The book utilizes the freely available R software package to explore complex data and illustrate related computation and analyses in a user-friendly way. An author-maintained website features additional data sets in R, Matlab and Stata scripts so readers can create their own simulations and test their comprehension of the presented techniques.
Achat du livre
Multivariate Time Series Analysis, Ruey S. Tsay
- Langue
- Année de publication
- 2013
- product-detail.submit-box.info.binding
- (rigide)
Modes de paiement
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- Titre
- Multivariate Time Series Analysis
- Sous-titre
- With R and Financial Applications
- Langue
- Anglais
- Auteurs
- Ruey S. Tsay
- Éditeur
- Wiley
- Publié
- 2013
- Format
- rigide
- Pages
- 520
- ISBN10
- 1118617908
- ISBN13
- 9781118617908
- Séries
- Mots clés
- Commerce, Science, Économie, Mathématiques, Finance, Statistiques, Analyse mathématique
- Description
- Since the publication of his first book, "Analysis of Financial Time Series, "Ruey Tsay has become one of the most influential and prominent experts on the topic of time series. Different from the traditional and oftentimes complex approach to multivariate (MV) time series, this sequel book emphasizes structural specification, which results in simplified parsimonious VARMA modeling and, hence, eases comprehension. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The book utilizes the freely available R software package to explore complex data and illustrate related computation and analyses in a user-friendly way. An author-maintained website features additional data sets in R, Matlab and Stata scripts so readers can create their own simulations and test their comprehension of the presented techniques.