The role of long memory in hedging effectiveness
A joint fractionally integrated, error-correction and multivariate GARCH (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 FIEC model 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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lien, Donald & Tse, Y K, 2002. " Some Recent Developments in Futures Hedging," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 357-96, July.
- Velasco, Carlos, 1998.
"Non-stationary log-periodogram regression,"
DES - Working Papers. Statistics and Econometrics. WS
4554, Universidad Carlos III de Madrid. Departamento de Estadística.
- Arteche, J., 2006.
"Semiparametric estimation in perturbed long memory series,"
Computational Statistics & Data Analysis,
Elsevier, vol. 51(4), pages 2118-2141, December.
- Josu Arteche, 2006. "Semiparametric estimation in perturbed long memory series," Computing in Economics and Finance 2006 22, Society for Computational Economics.
- Arteche González, Jesús María, 2005. "Semiparametric estimation in perturbed long memory series," BILTOKI 2005-02, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
- Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-28, August.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
- Moschini, GianCarlo & Myers, Robert J., 2002.
"Testing for constant hedge ratios in commodity markets: a multivariate GARCH approach,"
Journal of Empirical Finance,
Elsevier, vol. 9(5), pages 589-603, December.
- Moschini, GianCarlo & Myers, Robert J., 2002. "Testing for Constant Hedge Ratios in Commodity Markets: A Multivariate Garch Approach," Staff General Research Papers 1945, Iowa State University, Department of Economics.
- GianCarlo Moschini & Robert J. Myers, 2001. "Testing for Constant Hedge Ratios in Commodity Markets: A Multivariate GARCH Approach," Center for Agricultural and Rural Development (CARD) Publications 01-wp268, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Peter M. Robinson & Marc Henry, 1998.
"Long and short memory conditional heteroscedasticity in estimating the memory parameter of levels,"
LSE Research Online Documents on Economics
2022, London School of Economics and Political Science, LSE Library.
- Robinson, P.M. & Henry, M., 1999. "Long And Short Memory Conditional Heteroskedasticity In Estimating The Memory Parameter Of Levels," Econometric Theory, Cambridge University Press, vol. 15(03), pages 299-336, June.
- Peter M. Robinson & M. Henry, 1999. "Long and short memory conditional heteroskedasticity in estimating the memory parameter of levels," LSE Research Online Documents on Economics 304, London School of Economics and Political Science, LSE Library.
- Hassler, U. & Marmol, F. & Velasco, C., 2006.
"Residual log-periodogram inference for long-run relationships,"
Journal of Econometrics,
Elsevier, vol. 130(1), pages 165-207, January.
- Hassler, Uwe & Marmol, Francesc & Velasco, Carlos, 2002. "Residual Log-Periodogram Inference for Long-Run Relationships," Darmstadt Discussion Papers in Economics 115, Darmstadt University of Technology, Department of Law and Economics.
- Lien, Donald, 2005. "The use and abuse of the hedging effectiveness measure," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 277-282.
- Seppo Pynnonen & Johan Knif, 1998. "Common long-term and short-term price memory in two Scandinavian stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 8(3), pages 257-265.
- Donald Lien & Y. K. Tse & Albert Tsui, 2002. "Evaluating the hedging performance of the constant-correlation GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 12(11), pages 791-798.
- Tae H. Park & Lorne N. Switzer, 1995. "Bivariate GARCH estimation of the optimal hedge ratios for stock index futures: A note," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(1), pages 61-67, 02.
- Choi, Kyongwook & Zivot, Eric, 2007. "Long memory and structural changes in the forward discount: An empirical investigation," Journal of International Money and Finance, Elsevier, vol. 26(3), pages 342-363, April.
- Kellard, Neil & Sarantis, Nicholas, 2008. "Can exchange rate volatility explain persistence in the forward premium?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 714-728, September.
- Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-24, April-Jun.
When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:52:y:2008:i:6:p:3075-3082. 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: (Zhang, Lei)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.