Modeling Autoregressive Processes with Moving-Quantiles-Implied Nonlinearity
We introduce and investigate some properties of a class of nonlinear time series models based on the moving sample quantiles in the autoregressive data generating process. We derive a test fit to detect this type of nonlinearity. Using the daily realized volatility data of Standard & Poor’s...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-01-01
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Series: | Econometrics |
Subjects: | |
Online Access: | http://www.mdpi.com/2225-1146/3/1/2 |