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! ]

Hedging for multi-period downside risk in the presence of jump dynamics and conditional heteroskedasticity

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Ming-Chih Lee
Jui-Cheng Hung
Abstract

This study extends the one period zero-VaR (Value-at-Risk) hedge ratio proposed by Hung et al. (2005) to the multi-period case and incorporates the hedging horizon into the objective function under VaR framework. The multi-period zero-VaR hedge ratio has several advantages. First, compared to existing hedge ratios based on downside risk, it has an analytical solution and is simple to calculate. Second, compared to the traditional Minimum Variance (MV) hedge ratio, it considers expected return and remains optimal while the Martingale process is invalid. Thirdly, hedgers may elect an adequate hedging horizon and confidence level to reflect their level of risk aversion using the concept of VaR. Pondering the occurrence of volatility clustering and price jumps, this study utilizes the ARJI model to compute time-varying hedge ratios. Finally, both in-sample and out-of-sample hedging effectiveness between one-period hedge ratio and multi-period hedge ratio are evaluated for four hedging horizons and various levels of risk aversion. The empirical results indicate that hedgers wishing to hedge downside risk over long horizons should use the multi-period zero-VaR hedge ratios.

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 page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/00036840600707118&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
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 Economics.

Volume (Year): 39 (2007)
Issue (Month): 18 ()
Pages: 2403-2412
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:taf:applec:v:39:y:2007:i:18:p:2403-2412

Contact details of provider:
Web page: http://www.tandf.co.uk/journals/routledge/00036846.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:

Statistics
Access and download statistics

Did you know? Citation analysis on IDEAS includes online papers that are freely accessible and whose text could be automatically analyzed, currently about 210000 papers.

This page was last updated on 2009-11-8.


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.