Multivariate time series analysis: with R and financial applications

Book Cover
Publisher:
Wiley
Pub. Date:
2014
Language:
English
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"--
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Contributors:
ISBN:
9781118617793
9781118617755
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Grouping Information

Grouped Work IDe2332848-f858-247b-ccd0-37198c575445
Grouping Titlemultivariate time series analysis with r and financial applications
Grouping Authorruey s tsay
Grouping Categorybook
Grouping LanguageEnglish (eng)
Last Grouping Update2024-04-08 07:15:39AM
Last Indexed2024-05-08 23:45:06PM

Solr Fields

accelerated_reader_point_value
0
accelerated_reader_reading_level
0
author
Tsay, Ruey S., 1951-
author2-role
Ebooks Corporation
author_display
Tsay, Ruey S.
display_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"--
format_category_ccu
eBook
format_ccu
eBook
id
e2332848-f858-247b-ccd0-37198c575445
isbn
9781118617755
9781118617793
last_indexed
2024-05-09T05:45:06.470Z
lexile_score
-1
literary_form
Non Fiction
literary_form_full
Non Fiction
primary_isbn
9781118617793
publishDate
2013
2014
publisher
John Wiley & Sons, Inc
John Wiley & Sons, Incorporated
Wiley
recordtype
grouped_work
series
Ebook Library
New York Academy of Sciences Ser
Wiley series in probability and statistics
series_with_volume
Ebook Library|
New York Academy of Sciences Ser|
Wiley series in probability and statistics|
subject_facet
Econometric models
Electronic books
Electronic monograph
MATHEMATICS -- Probability & Statistics -- General
MATHEMATICS / Applied
MATHEMATICS / Probability & Statistics / General
R (Computer program language)
Time-series analysis
title_display
Multivariate time series analysis : with R and financial applications
title_full
Multivariate Time Series Analysis : With R and Financial Applications Tsay, Ruey S.
Multivariate time series analysis : with R and financial applications / Ruey S. Tsay
Multivariate time series analysis : with R and financial applications / Ruey S. Tsay, Booth School of Business, University of Chicago, Chicago, IL
title_short
Multivariate time series analysis
title_sub
with R and financial applications
topic_facet
Econometric models
General
MATHEMATICS
MATHEMATICS / Applied
MATHEMATICS / Probability & Statistics / General
Probability & Statistics
R (Computer program language)
Time-series analysis

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external_econtent:ils:.b41621414eBookeBookEnglishJohn Wiley & Sons, Inc[2014]1 online resource (xvii, 492 pages).
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