Bookbot

Multivariate Time Series Analysis

With R and Financial Applications

Autor*innen

Parameter

  • 520 Seiten
  • 19 Lesestunden

Mehr zum Buch

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.

Buchkauf

Multivariate Time Series Analysis, Ruey S. Tsay

Sprache
Erscheinungsdatum
2013
product-detail.submit-box.info.binding
(Hardcover)
Wir benachrichtigen dich per E-Mail.

Lieferung

  • Gratis Versand ab 16,99 € in ganz Österreich! Mehr Infos.

Zahlungsmethoden

Keiner hat bisher bewertet.Abgeben

Titel
Multivariate Time Series Analysis
Untertitel
With R and Financial Applications
Sprache
Englisch
Autor*innen
Ruey S. Tsay
Verlag
Wiley
Erscheinungsdatum
2013
Einband
Hardcover
Seitenzahl
520
ISBN10
1118617908
ISBN13
9781118617908
Reihe
Beschreibung
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.