题名

Major Foreign Currency Futures Hedging During the Financial Crisis

并列篇名

金融危機期間主要外匯期貨之避險

DOI

10.6545/JFS.2012.20(3).2

作者

曾仁清(Jen-Ching Tseng);林哲彥(Jer-Yan Lin);賴奕豪(Yi-Hao Lai)

关键词

外匯 ; 避險 ; 馬可夫轉換 ; 金融危機 ; Foreign currency ; hedge ; copula ; Markov-switching ; financial crisis

期刊名称

財務金融學刊

卷期/出版年月

20卷3期(2012 / 09 / 30)

页次

33 - 47

内容语文

英文

中文摘要

本文檢視相關轉換(Dependence-Switching, DS)模型在不同估計視窗下對歐元、日圓、英鎊之避險績效。結果顯示,在金融危機期間,DS模型對日圓與英鎊而OLS模型對歐元有較好的樣本外績效。而各外匯最佳模型之估計視窗為120或180週,此可供避險交易者參考。最後,DS模型在市場動盪期間,對波動大且避險比率變化較劇烈的外匯商品提供較好的避險績效。

英文摘要

This paper examines hedging performance of Dependence-Switching (DS) model with different estimation window sizes for the futures of three foreign currencies (EUR, JPY and GBP). The results show that the DS model for JPY and GBP survives during the crisis and has better out-of-sample performance, while the OLS model is better for EUR. Moreover, the best survival model for each currency has the window size of 120 or 180 weeks, providing a guideline for the practitioners involving the hedging transactions. Conclusively, the DS model performs better for the turmoil periods, the volatile currencies and the currencies with volatile hedge ratios.

主题分类 社會科學 > 經濟學
社會科學 > 財金及會計學
参考文献
  1. Romano, Claudio, 2002, Applying copula function to risk management. Available at http://www.gravitascapital.com/Research/Risk/ApplyingCopula Function to Risk Management.pdf
  2. Alizadeh, Amir,Nomikos, Nikos(2004).A Markov regime switching approach for hedging stock indices.Journal of Futures Markets,24,649-674.
  3. Chollete, Loran,Heinen, Andreas,Valdesogo, Alfonso(2009).Modeling international financial returns with a multivariate regime-switching copula.Journal of Finanacial Econometrics,7(4),437-480.
  4. Dacco, Robert,Satchell, Steve(1999).Why do regime-switching models forecast so badly?.Journal of Forecasting,18(1),1-16.
  5. Fratzscher, Marcel(2009).What explains global exchange rate movements during the financial crisis?.Journal of International Money and Finance,28,1390-1407.
  6. Garcia, Rene,Tsafack, Georges(2011).Dependence structure and extreme comovements in internatioanl equity and bond markets.Journal of Banking and Finance,35,1954-1970.
  7. Hansen, Peter Reinhard(2005).A test for superior predictive ability.Journal of Business and Economic Statistics,23,365-380.
  8. Lai, Yi-Hao(2009).Copula-based dynamic hedging strategies in stock index futures: International evidence.Review of Futures Markets,18,7-26.
  9. Lai, Yi-Hao,Chen, C. Woan-Shu,Gerlach, Richard(2009).Optimal dynamic hedging via copula-threshold-GARCH models.Mathematics and Computers in Simulation,79,2609-2624.
  10. Lee, Hsiang-Tai(2009).A copula-based Markov regime switching GARCH model for optimal futures hedging.Journal of Futures Markets,29,946-972.
  11. Lee, Hsiang-Tai,Yoder, Jonathan(2007).Optimal hedging with a regime-switching time-varying correlation GARCH model.Journal of Futures Markets,27,495-516.
  12. Lee, Hsiang-Tai,Yoder, Jonathan,Mittelhammer, Ron,McCluskey, Jill(2006).A random coefficient autoregressive Markov regime switching model for dynamic futures hedging.Journal of Futures Markets,26,103-129.
  13. Melvin, Michael,Taylor, Mark P.(2009).The crisis in the foreign exchange market.Journal of International Money and Finance,28,1317-1330.
  14. Nelson, Roger(1999).An Introduction to Copulas.New York:Spring-Verlag.
  15. Politis, Dimitris,Romano, Joseph(1994).The stationary bootstrap.Journal of the American Statistical Association,89,1303-1313.
  16. Sklar, Abe(1959).Fonctions de Réparition á n Dimensions et Leurs Marges.Publications de l'Institut de Statistique de l'Université de Paris,8,229-231.
被引用次数
  1. 魏慧珊、歐仁和、黃志偉、張傳章(2016)。臺灣財務領域研究之回顧與展望。管理學報,33(1),105-137。