Multivariate time series analysis : with R and financial applications / Ruey S. Tsay, Booth School of Business, University of Chicago, Chicago, IL.
By: Tsay, Ruey S [author.].
Material type:
BookSeries: Wiley series in probability and statistics.Publisher: Hoboken, New Jersey : John Wiley & Sons, [2014]Description: xvii, 492 pages : illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781118617908 (hardback).Subject(s): Time-series analysis | R (Computer program language) | Econometric models | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 519.550285513 Summary: "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"-- Provided by publisher.
| Item type | Current location | Call number | Copy number | Status | Date due |
|---|---|---|---|---|---|
Monograph
|
Indian Institute of Management Udaipur B2/3 | 519.550285513 (Browse shelf) | 1 | Available |
Includes bibliographical references and index.
"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"-- Provided by publisher.
There are no comments for this item.