Full metadata record
DC FieldValueLanguage
dc.contributor.authorLai, Yu-Shengen_US
dc.contributor.authorSheu, Her-Jiunen_US
dc.date.accessioned2014-12-08T15:19:52Z-
dc.date.available2014-12-08T15:19:52Z-
dc.date.issued2010-09-01en_US
dc.identifier.issn0270-7314en_US
dc.identifier.urihttp://dx.doi.org/10.1002/fut.20444en_US
dc.identifier.urihttp://hdl.handle.net/11536/14090-
dc.description.abstractA number of prior studies have developed a variety of multivariate volatility models to describe the joint distribution of spot and futures, and have applied the results to form the optimal futures hedge. In this study, the authors propose a new class of multivariate volatility models encompassing realized volatility (RV) estimates to estimate the risk-minimizing hedge ratio, and compare the hedging performance of the proposed models with those generated by return-based models. In an out-of-sample context with a daily rebalancing approach, based on an extensive set of statistical and economic performance measures, the empirical results show that improvement can be substantial when switching from daily to intraday. This essentially comes from the advantage that the intraday-based RV potentially can provide more accurate daily covariance matrix estimates than RV utilizing daily prices. Finally, this study also analyzes the effect of hedge horizon on hedge ratio and hedging effectiveness for both the in-sample and the out-of-sample data. (C) 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:874-896,2010en_US
dc.language.isoen_USen_US
dc.titleTHE INCREMENTAL VALUE OF A FUTURES HEDGE USING REALIZED VOLATILITYen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/fut.20444en_US
dc.identifier.journalJOURNAL OF FUTURES MARKETSen_US
dc.citation.volume30en_US
dc.citation.issue9en_US
dc.citation.spage874en_US
dc.citation.epage896en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000279780300004-
dc.citation.woscount3-
Appears in Collections:Articles


Files in This Item:

  1. 000279780300004.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.