This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Hedge ratios in Greek stock index futures market

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christos Floros
Dimitrios V. Vougas

Additional information is available for the following registered author(s):

Abstract

This paper examines hedging in Greek stock index futures market. The focus is on various techniques to estimate constant or time-varying hedge ratios. For both available stock index futures contracts of the Athens Derivatives Exchange (ADEX), a variety of econometric models are employed to derive and estimate underlying hedge ratios. Standard OLS regressions, simple and vector error correction models, as well as multivariate generalized autoregressive heteroscedasticity (M-GARCH) models are employed to estimate corresponding hedge ratios that can be employed in hedging (viewed as risk management). In both cases for Greek stock index futures, M-GARCH models (capturing time-variation) provide best hedging ratios, in line with similar findings in the literature. These models are strongly recommended to risk managers dealing with Greek stock index futures.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://taylorandfrancis.metapress.com/link.asp?target=contribution&id=XK6W7MM0Y4AAJ6V6
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

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.

Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Financial Economics.

Volume (Year): 14 (2004)
Issue (Month): 15 (October)
Pages: 1125-1136
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:taf:apfiec:v:14:y:2004:i:15:p:1125-1136

Contact details of provider:
Web page: http://www.tandf.co.uk/journals/routledge/09603107.html

Order Information:
Web: http://www.tandf.co.uk/journals/subscription.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

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.:

  1. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-31, February. [Downloadable!] (restricted)
  2. Anderson, Ronald W & Danthine, Jean-Pierre, 1980. " Hedging and Joint Production: Theory and Illustrations," Journal of Finance, American Finance Association, vol. 35(2), pages 487-98, May. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
    Other versions:
  4. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March. [Downloadable!] (restricted)
  5. Sercu, Piet & Wu, Xueping, 2000. "Cross- and delta-hedges: Regression- versus price-based hedge ratios," Journal of Banking & Finance, Elsevier, vol. 24(5), pages 735-757, May. [Downloadable!] (restricted)
  6. 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. [Downloadable!] (restricted)
  7. Lafuente, Juan A. & Novales, Alfonso, 2003. "Optimal hedging under departures from the cost-of-carry valuation: Evidence from the Spanish stock index futures market," Journal of Banking & Finance, Elsevier, vol. 27(6), pages 1053-1078, June. [Downloadable!] (restricted)
    Other versions:
  8. Chris Brooks & Olan T. Henry & Gita Persand, 2002. "The Effect of Asymmetries on Optimal Hedge Ratios," Journal of Business, University of Chicago Press, vol. 75(2), pages 333-352, April. [Downloadable!]
  9. Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, EconWPA. [Downloadable!]
  10. Anderson, Ronald W & Danthine, Jean-Pierre, 1981. "Cross Hedging," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1182-96, December. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, 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.)

  1. Abdulnasser Hatemi-J & Eduardo Roca, 2006. "Calculating the optimal hedge ratio: constant, time varying and the Kalman Filter approach," Applied Economics Letters, Taylor and Francis Journals, vol. 13(5), pages 293-299, April. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? IDEAS is not the only service displaying RePEc data. Choose on RePEc which service fits your needs best.

This page was last updated on 2008-8-14.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.