Basis Convergence and Long Memory in Volatility When Dynamic Hedging with Futures
When market returns follow a long memory volatility process, standard approaches to estimating dynamic minimum variance hedge ratios (MVHRs) are misspecified. Simulation results and an application to the S&P 500 index document the magnitude of the misspecification that results from failure to account for basis convergence and long memory in volatility. These results have important implications for the estimation of MVHRs in the S&P 500 example and other markets as well.
Year of publication: |
2007
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Authors: | Dark, Jonathan |
Published in: |
Journal of Financial and Quantitative Analysis. - Cambridge University Press. - Vol. 42.2007, 04, p. 1021-1040
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Publisher: |
Cambridge University Press |
Description of contents: | Abstract [journals.cambridge.org] |
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