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Please use this identifier to cite or link to this item: http://purl.umn.edu/28593

Title: COMBINING TIME-VARYING AND DYNAMIC MULTI-PERIOD OPTIMAL HEDGING MODELS
Authors: Haigh, Michael S.
Holt, Matthew T.
Authors (Email): Haigh, Michael S. (mhaigh@arec.umd.edu)
Holt, Matthew T. (matt_holt@ncsu.edu)
Issue Date: 2002
Series/Report no.: Working Paper WP 02-08
Abstract: This paper presents an effective way of combining two popular, yet distinct approaches used in the hedging literature – dynamic programming (DP) and time-series (GARCH) econometrics. Theoretically consistent yet realistic and tractable models are developed for traders interested in hedging a portfolio. Results from a bootstrapping experiment used to construct confidence bands around the competing portfolios suggest that while DP-GARCH outperforms the GARCH approach they are statistically equivalent to the OLS approach when the markets are stable. Significant gains may be achieved by a trader, however, by adopting the DP–GARCH model over the OLS approach when markets exhibit excessive volatility.
URI: http://purl.umn.edu/28593
Institution/Association: University of Maryland>Department of Agricultural and Resource Economics>Working Papers
Total Pages: 48
Language: English
Collections:Working Papers

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