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...

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Bibliographic Details
Main Authors: Isao Ishida, Virmantas Kvedaras
Format: Article
Language:English
Published: MDPI AG 2015-01-01
Series:Econometrics
Subjects:
Online Access:http://www.mdpi.com/2225-1146/3/1/2