EconPapers    
Economics at your fingertips  
 

Optimal Hedging and the Value of News

Chris Brooks, Ólan Henry and G. Persand

No 717, Department of Economics - Working Papers Series from The University of Melbourne

Abstract: There is much evidence in the literature that the volatility of asset returns, in particular those from stock markets, show evidence of an asymmetric response to good and bad news. This paper considers the impact of news on time varying hedges for financial futures. The models are compared with traditional time-invariant hedging models, and those generated from symmetric multivariate GARCH models. Our results show that an asymmetric model allowing the forecasted volatility of the cash and futures prices to be affected differently by good and bad news gives superior in-sample hedging performance. However, the simpler symmetric model yields results which are not inferior in a hold-out sample. A method for evaluating the models in a modern risk management framework is also presented, and again, the importance of allowing optimal hedge ratios to be both time-varying and asymmetric is demonstrated.

Keywords: FINANCIAL MARKET; CAPITAL; RISK (search for similar items in EconPapers)
JEL-codes: G12 G15 (search for similar items in EconPapers)
Pages: 29 pages
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (4)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mlb:wpaper:717

Access Statistics for this paper

More papers in Department of Economics - Working Papers Series from The University of Melbourne Department of Economics, The University of Melbourne, 4th Floor, FBE Building, Level 4, 111 Barry Street. Victoria, 3010, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Dandapani Lokanathan ().

 
Page updated 2025-03-30
Handle: RePEc:mlb:wpaper:717