An Empirical Analysis of Dynamic Multiscale Hedging using Wavelet Decomposition
This paper investigates the hedging effectiveness of a dynamic moving window OLS hedging model, formed using wavelet decomposed time-series. The wavelet transform is applied to calculate the appropriate dynamic minimum-variance hedge ratio for various hedging horizons for a number of assets. The effectiveness of the dynamic multiscale hedging strategy is then tested, both in- and out-of-sample, using standard variance reduction and expanded to include a downside risk metric, the time horizon dependent Value-at-Risk. Measured using variance reduction, the effectiveness converges to one at longer scales, while a measure of VaR reduction indicates a portion of residual risk remains at all scales. Analysis of the hedge portfolio distributions indicate that this unhedged tail risk is related to excess portfolio kurtosis found at all scales.
|Date of creation:||02 Mar 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +353 1 7164615
Fax: +353 1 7161108
Web page: http://www.ucd.ie/geary/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ucd:wpaper:201104. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Geary Tech)
If references are entirely missing, you can add them using this form.