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Multivariate GARCH hedge ratios and hedging effectiveness in Australian futures markets

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  • Wenling Yang
  • David E. Allen

Abstract

We use the All Ordinaries Index and the corresponding Share Price Index futures contract written against the All Ordinaries Index to estimate optimal hedge ratios, adopting several specifications: an ordinary least squares-based model, a vector autoregression, a vector error-correction model and a diagonal-vec multivariate generalized autoregressive conditional heteroscedasticity model. Hedging effectiveness is measured using a risk-return comparison and a utility maximization method. We find that time-varying generalized autoregressive conditional heteroscedasticity hedge ratios perform better than constant hedge ratios in terms of minimizing risks, but when return effects are also considered, the utility-based measure prefers the ordinary least squares method in the in-sample hedge, whilst both approaches favour the conditional time-varying multivariate generalized autoregressive conditional heteroscedasticity hedge ratio estimates in out-of-sample analyses. Copyright 2005 Accounting and Finance Association of Australia and New Zealand..

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Bibliographic Info

Article provided by Accounting and Finance Association of Australia and New Zealand in its journal Accounting and Finance.

Volume (Year): 45 (2005)
Issue (Month): 2 ()
Pages: 301-321

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Handle: RePEc:bla:acctfi:v:45:y:2005:i:2:p:301-321

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Cited by:
  1. Guo, Zhibo & White, Ben & Mugera, Amin, 2013. "Hedge Effectiveness for Western Australia Crops," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152154, Australian Agricultural and Resource Economics Society.
  2. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2010. "Hedging With Futures Contract: Estimation and Performance Evaluation of Optimal Hedge Ratios in the European Union Emissions Trading Scheme," Discussion Papers in Finance finance:201009, Griffith University, Department of Accounting, Finance and Economics.
  3. Rozaimah Zainudin & Roselee Shah Shaharudin, 2011. "Multi Mean Garch Approach to Evaluating Hedging Performance in the Crude Palm Oil Futures Market," Asian Academy of Management Journal of Accounting and Finance, Penerbit Universiti Sains Malaysia, vol. 7(1), pages 111-130.
  4. Wagner Oliveira Monteiro & Rodrigo De Losso da Silveira Bueno, 2011. "Dynamic Hedging inMarkov Regimes Switching," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 136, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  5. Rocha, Waldemar Antonio da & Caldarelli, Carlos Eduardo, 2010. "The Dynamic Hedging Effectiveness For Soybean Farmers Of Mato Grosso With Futures Contracts Of Bm&F," Organizacoes Rurais e Agroindustriais/Rural and Agro-Industrial Organizations, Universidade Federal de Lavras, Departamento de Administracao e Economia, vol. 12(1).

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