Knihobot

Multivariate Time Series Analysis

With R and Financial Applications

Parametry

  • 520 stránek
  • 19 hodin čtení

Více o knize

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.

Nákup knihy

Multivariate Time Series Analysis, Ruey S. Tsay

Jazyk
Rok vydání
2013
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Titul
Multivariate Time Series Analysis
Podtitul
With R and Financial Applications
Jazyk
anglicky
Vydavatel
Wiley
Rok vydání
2013
Vazba
pevná
Počet stran
520
ISBN10
1118617908
ISBN13
9781118617908
Série
Anotace
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.