EconPapers    
Economics at your fingertips  
 

Extended residual coherence with a financial application

Zhang Xuze () and Kedem Benjamin ()
Additional contact information
Zhang Xuze: Department of Mathematics and Institute for Systems Research, University of Maryland, Maryland, ; United States
Kedem Benjamin: Department of Mathematics and Institute for Systems Research, University of Maryland, Maryland, ; United States .

Statistics in Transition New Series, 2021, vol. 22, issue 2, 1-14

Abstract: Residual coherence is a graphical tool for selecting potential second-order interaction terms as functions of a single time series and its lags. This paper extends the notion of residual coherence to account for interaction terms of multiple time series. Moreover, an alternative criterion, integrated spectrum, is proposed to facilitate this graphical selection. A financial market application shows that new insights can be gained regarding implied market volatility.

Keywords: interaction; residual coherence; nonlinear; time series; volatility index. (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.21307/stattrans-2021-014 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:22:y:2021:i:2:p:1-14:n:5

DOI: 10.21307/stattrans-2021-014

Access Statistics for this article

Statistics in Transition New Series is currently edited by Włodzimierz Okrasa

More articles in Statistics in Transition New Series from Statistics Poland
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:stintr:v:22:y:2021:i:2:p:1-14:n:5