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Journal of Asset Management
Article . 2014 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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The cross-market index for volatility surprise

Authors: Aboura, Sofiane; Chevallier, Julien;

The cross-market index for volatility surprise

Abstract

This article proposes a new empirical methodology for computing a cross-market volatility index – coined CMIX – based on the Factor-Dynamic Conditional Correlation (DCC) model, implemented on volatility surprises. This approach solves problems in treating high-dimensional data and estimating time-varying conditional correlations. We provide an application to 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, because it provides a simple way to hedge multi-asset portfolios with derivatives contracts written on the CMIX.

Country
France
Keywords

JEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C51 - Model Construction and Estimation, JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G10 - General, G - Financial Economics/G.G1 - General Financial Markets/G.G1.G14 - Information and Market Efficiency • Event Studies • Insider Trading [JEL], C.C5.C51, 330, G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Rates [JEL], Economie financière, C.C5.C58, 332, C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C58 - Financial Econometrics [JEL], C.C2.C22, G - Financial Economics/G.G1 - General Financial Markets/G.G1.G10 - General [JEL], volatility surprise, JEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C58 - Financial Econometrics, JEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables, C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C51 - Model Construction and Estimation [JEL], [ SHS.GESTION ] Humanities and Social Sciences/Business administration, G.G1.G10, Factor-DCC, G.G1.G14, G.G1.G12, JEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables, C.C3.C32, JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G14 - Information and Market Efficiency • Event Studies • Insider Trading, C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables [JEL], C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables [JEL], asset management, [SHS.GESTION]Humanities and Social Sciences/Business administration, cross-market index, [SHS.GESTION] Humanities and Social Sciences/Business administration, JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Rates, jel: jel:G - Financial Economics/G.G1 - General Financial Markets/G.G1.G14 - Information and Market Efficiency • Event Studies • Insider Trading, jel: jel:C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C51 - Model Construction and Estimation, jel: jel:C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C58 - Financial Econometrics, jel: jel:C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables, jel: jel:G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Rates, jel: jel:C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables, jel: jel:G - Financial Economics/G.G1 - General Financial Markets/G.G1.G10 - General

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average