Chapter: Time Series Models: Basics

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Home > Statistics and Data Analysis for Financial Engineering: with R examples > Time Series Models: Basics

Statistics and Data Analysis for Financial Engineering: with R examples |

David Ruppert; David S. Matteson

Springer New York

Statistics and Data Analysis for Financial Engineering: with R examples

Time Series Models: Basics

Chapter Info

Authors

David Ruppert; David S. Matteson

ARI Id

1664544150871_2131960

Access

Not Available Free

Pages

307-360

DOI

10.1007/978-1-4939-2614-5_12

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4939-2614-5_12

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xxvi
Introduction	David Ruppert; David S. Matteson	1-4
Returns	David Ruppert; David S. Matteson	5-18
Fixed Income Securities	David Ruppert; David S. Matteson	19-43
Exploratory Data Analysis	David Ruppert; David S. Matteson	45-83
Modeling Univariate Distributions	David Ruppert; David S. Matteson	85-135
Resampling	David Ruppert; David S. Matteson	137-156
Multivariate Statistical Models	David Ruppert; David S. Matteson	157-182
Copulas	David Ruppert; David S. Matteson	183-215
Regression: Basics	David Ruppert; David S. Matteson	217-248
Regression: Troubleshooting	David Ruppert; David S. Matteson	249-268
Regression: Advanced Topics	David Ruppert; David S. Matteson	269-306
Time Series Models: Basics	David Ruppert; David S. Matteson	307-360
Time Series Models: Further Topics	David Ruppert; David S. Matteson	361-404
GARCH Models	David Ruppert; David S. Matteson	405-452
Cointegration	David Ruppert; David S. Matteson	453-463
Portfolio Selection	David Ruppert; David S. Matteson	465-493
The Capital Asset Pricing Model	David Ruppert; David S. Matteson	495-515
Factor Models and Principal Components	David Ruppert; David S. Matteson	517-552
Risk Management	David Ruppert; David S. Matteson	553-579
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