Abstract

http://ssrn.com/abstract=1346052
 
 

References (68)



 


 



Persistence in Nonlinear Time Series: A Nonparametric Approach


Juan Carlos Escanciano


Indiana University Bloomington - Department of Economics

Javier Hualde


University of Navarra

February 6, 2009

CAEPR Working Paper No. 2009-003

Abstract:     
The purpose of the present paper is to relate two important concepts of time series analysis, namely, nonlinearity and persistence. Traditional measures of persistence are based on correlations or periodograms, which may be inappropriate under nonlinearity and/or non-Gaussianity. This article proves that nonlinear persistence can be characterized by cumulative measures of dependence. The new cumulative measures are nonparametric, simple to estimate and do not require the use of any smoothing user-chosen parameters. In addition, we propose nonparametric estimates of our measures and establish their limiting properties. Finally, we employ our measures to analyze the nonlinear persistence properties of some international stock market indices, where we find an ubiquitous nonlinear persistence in conditional variance that is not accounted for by popular parametric models or by classical linear measures of persistence. This finding has important economic implications in, e.g., asset pricing and hedging. Conditional variance persistence in bull and bear markets is also analyzed and compared.

Number of Pages in PDF File: 48

Keywords: Conditional Mean, Nonlinear time series, Non- linear Persistence, Nonlinear correlograms, Persistence in variance, Bull and bear markets.

JEL Classification: C12, C14

working papers series


Download This Paper

Date posted: February 19, 2009 ; Last revised: February 22, 2009

Suggested Citation

Escanciano, Juan Carlos and Hualde, Javier, Persistence in Nonlinear Time Series: A Nonparametric Approach (February 6, 2009). CAEPR Working Paper No. 2009-003. Available at SSRN: http://ssrn.com/abstract=1346052 or http://dx.doi.org/10.2139/ssrn.1346052

Contact Information

Juan Carlos Escanciano (Contact Author)
Indiana University Bloomington - Department of Economics ( email )
Bloomington, IN 47405-6620
United States
812-855-7925 (Phone)
812-855-3736 (Fax)

Javier Hualde
University of Navarra ( email )
Pamplona, Navarra 31080
Feedback to SSRN


Paper statistics
Abstract Views: 700
Downloads: 161
Download Rank: 103,337
References:  68

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo3 in 0.499 seconds