An empirical analysis of dynamic multiscale hedging using wavelet decomposition

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Title: An empirical analysis of dynamic multiscale hedging using wavelet decomposition
Authors: Conlon, Thomas
Cotter, John
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Date: 7-Mar-2011
Abstract: 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.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Wiley-Blackwell
Copyright (published version): 2011 Wiley Periodicals, Inc.
Keywords: Dynamic multiscale hedgingWavelet decomposition
Subject LCSH: Hedging (Finance)--Mathematical models
Wavelets (Mathematics)
Decomposition (Mathematics)
DOI: 10.1002/fut.20519
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Language: en
Status of Item: Peer reviewed
Appears in Collections:FMC² Research Collection
Business Research Collection
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