Crude oil hedging strategies using dynamic multivariate GARCH

被引:211
|
作者
Chang, Chia-Lin [1 ,2 ]
McAleer, Michael [3 ,4 ,5 ]
Tansuchat, Roengchai [6 ]
机构
[1] Natl Chung Hsing Univ, Dept Appl Econ, Taichung 40227, Taiwan
[2] Natl Chung Hsing Univ, Dept Finance, Taichung 40227, Taiwan
[3] Erasmus Univ, Erasmus Sch Econ, Inst Econometr, Rotterdam, Netherlands
[4] Tinbergen Inst, Amsterdam, Netherlands
[5] Kyoto Univ, Inst Econ Res, Kyoto 6068501, Japan
[6] Maejo Univ, Fac Econ, Chiang Mai, Thailand
基金
日本学术振兴会; 澳大利亚研究理事会;
关键词
Multivariate GARCH; Conditional correlations; Crude oil prices; Optimal hedge ratio; Optimal portfolio weights; Hedging strategies; AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY; FUTURES MARKET-EFFICIENCY; COINTEGRATION VECTORS; ASYMPTOTIC THEORY; GENERALIZED ARCH; VOLATILITY; MODEL; RATIOS; CONTRACTS;
D O I
10.1016/j.eneco.2011.01.009
中图分类号
F [经济];
学科分类号
02 ;
摘要
The paper examines the performance of several multivariate volatility models, namely CCC, VARMA-GARCH, DCC, BEKK and diagonal BERK, for the crude oil spot and futures returns of two major benchmark international crude oil markets, Brent and WTI, to calculate optimal portfolio weights and optimal hedge ratios, and to suggest a crude oil hedge strategy. The empirical results show that the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger proportions than spot. For WTI, however, DCC, BM and diagonal BEKK suggest holding crude oil futures to spot, but CCC and VARMA-GARCH suggest holding crude oil spot to futures. In addition, the calculated optimal hedge ratios (OHRs) from each multivariate conditional volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one dollar long in crude oil spot. Finally, the hedging effectiveness indicates that diagonal BEKK (BEKK) is the best (worst) model for OHR calculation in terms of reducing the variance of the portfolio. (C) 2011 Elsevier B.V. All rights reserved.
引用
下载
收藏
页码:912 / 923
页数:12
相关论文
共 50 条
  • [41] Hedging the risk of travel and leisure stocks: The role of crude oil
    Jalkh, Naji
    Bouri, Elie
    Xuan Vinh Vo
    Dutta, Anupam
    TOURISM ECONOMICS, 2021, 27 (07) : 1337 - 1356
  • [42] Dynamic Conditional Correlation GARCH: A Multivariate Time Series Novel using a Bayesian Approach
    Nascimento, Diego
    Xavier, Cleber
    Felipe, Israel
    Louzada Neto, Francisco
    JOURNAL OF MODERN APPLIED STATISTICAL METHODS, 2019, 18 (01)
  • [43] Refinement of the hedging ratio using copula-GARCH models
    Waël Louhichi
    Hassen Rais
    Journal of Asset Management, 2019, 20 : 403 - 411
  • [44] Refinement of the hedging ratio using copula-GARCH models
    Louhichi, Wael
    Rais, Hassen
    JOURNAL OF ASSET MANAGEMENT, 2019, 20 (05) : 403 - 411
  • [45] Forecasting crude oil market volatility: Further evidence using GARCH-class models
    Wei, Yu
    Wang, Yudong
    Huang, Dengshi
    ENERGY ECONOMICS, 2010, 32 (06) : 1477 - 1484
  • [46] Multivariate GARCH models with spherical parameterizations: an oil price application
    Luca Vincenzo Ballestra
    Riccardo De Blasis
    Graziella Pacelli
    Financial Innovation, 11 (1)
  • [47] Oil hedging with a multivariate semiparametric value-at-risk portfolio
    Zivkov, Dejan
    Manic, Slavica
    Duraskovic, Jasmina
    Gajic-Glamoclija, Marina
    BORSA ISTANBUL REVIEW, 2022, 22 (06) : 1118 - 1131
  • [48] Economic evaluation of dynamic hedging strategies using high-frequency data
    Lai, Yu-Sheng
    FINANCE RESEARCH LETTERS, 2023, 57
  • [49] Instabilities in the relationships and hedging strategies between crude oil and US stock markets: Do long memory and asymmetry matter?
    Chkili, Walid
    Aloui, Chaker
    Duc Khuong Nguyen
    JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2014, 33 : 354 - 366
  • [50] Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy
    Okorie, David Iheke
    Lin, Boqiang
    ENERGY ECONOMICS, 2020, 87