EconPapers    
Economics at your fingertips  
 

Cross-market volatility index with Factor-DCC

Sofiane Aboura and Julien Chevallier

International Review of Financial Analysis, 2015, vol. 42, issue C, 132-140

Abstract: This paper proposes a new empirical methodology for computing a cross-market volatility index – coined CMIX – based on the Factor DCC-model, implemented on volatility surprises. This approach solves both problems of treating high-dimensional data and estimating time-varying conditional correlations. We provide an application to a multi-asset market data composed of equities, bonds, foreign exchange rates and commodities during 1983–2013. This new methodology may be attractive to asset managers, since it provides a simple way to hedge multi-asset portfolios with derivative contracts written on the CMIX.

Keywords: Cross-market index; Factor-DCC; Volatility surprise; Asset management (search for similar items in EconPapers)
JEL-codes: C32 F15 G01 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S105752191400091X
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Cross-market volatility index with Factor-DCC (2015)
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:eee:finana:v:42:y:2015:i:c:p:132-140

DOI: 10.1016/j.irfa.2014.06.003

Access Statistics for this article

International Review of Financial Analysis is currently edited by B.M. Lucey

More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:finana:v:42:y:2015:i:c:p:132-140