Learn about the generalized autoregressive conditional heteroskedasticity (GARCH) model in R with data from the DJIA 30 stock time series (2018) /
This dataset is designed for teaching the generalized autoregressive conditional heteroskedasticity (GARCH) model for a univariate time series. The dataset is a subset of data derived from the 2018 DJIA 30 Stock Time Series dataset, and the example examines the time series of daily closing price of...
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd.,
2019.
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| Online Access: | Connect to the full text of this electronic book |
Internet
Connect to the full text of this electronic bookAvailable Online
| Call Number: |
QA274.2 .S55 2019 |
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| Call Number | Status | Get It |
| QA274.2 .S55 2019 | Available | |