Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/79606
Authors: 
Härdle, Wolfgang Karl
Silyakova, Elena
Year of Publication: 
2012
Series/Report no.: 
SFB 649 Discussion Paper 2012-066
Abstract: 
Equity basket correlation is an important risk factor. It characterizes the strength of linear dependence between assets and thus measures the degree of portfolio diversification. It can be estimated both under the physical measure from return series, and under the risk neutral measure from option prices. The difference between the two estimates motivates a so called dispersion strategy. We study the performance of this strategy on the German market over the recent 2 years and propose several hedging schemes based on implied correlation (IC) forecasts. Modeling IC is a challenging task both in terms of computational burden and estimation error. First the number of correlation coefficients to be estimated would grow with the size of the basket. Second, since the IC is implied from option prices it is not constant over maturities and strikes. Finally, the IC changes over time. The dimensionality of the problem is reduced by an assumption that the correlation between all pairs of equities is constant (equicorrelation). The IC surface (ICS) is then approximated from implied volatilities of stocks and implied volatility of the basket. To analyze this structure and the dynamics of the ICS we employ a dynamic semiparametric factor model (DSFM).
Subjects: 
correlation risk
dimension reduction
dispersion strategy
dynamic factor models
implied correlation
JEL: 
C14
C32
G12
G13
G15
G17
Document Type: 
Working Paper

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