The role of long memory in hedging effectiveness

نویسندگان

  • Jerry Coakley
  • Jian Dollery
  • Neil Kellard
چکیده

A joint fractionally integrated, error-correction andmultivariateGARCH (FIEC-BEKK) approach is applied to investigate hedging effectiveness using daily data 1995–2005. The findings reveal the proxied error-correction term has a long memory component that theoretically should affect hedging effectiveness.When the FIECmodel empirical conditions are satisfied, the FIEC-BEKK hedging strategy outperforms the OLS benchmark out of sample in terms of both variance reduction and hedger utility. A bootstrap exercise indicates that the variance reduction is statistically significant. © 2007 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Computational Statistics & Data Analysis

دوره 52  شماره 

صفحات  -

تاریخ انتشار 2008