管理科学
管理科學
관이과학
Management Sciences in China
2013年
2期
90~99
,共null页
黄金期货 套期保值比率 非线性相关 M-Copula-GJR-VaR模型
黃金期貨 套期保值比率 非線性相關 M-Copula-GJR-VaR模型
황금기화 투기보치비솔 비선성상관 M-Copula-GJR-VaR모형
gold futures; hedging ratios; nonlinear correlation; M-Copula-GJR-VaR model
基于VaR的风险测度方法既侧重收益的负向波动风险,又可通过置信水平的设定满足有不同风险偏好的投资者的需求。以具有金融和商品双重属性的黄金为实证对象,充分考虑现货和期货市场的非对称性、两者之间的协整关系以及非线性相关的特征,以风险最小化为原则,建立M—Copula—GJR—VaR动态套期保值比率估计模型。采用中国市场现货价格和期货价格数据。对比分析M-Copula-GJR-VaR模型与CCC-GARCH-VaR模型、DCC—GARCH—VaR模型、Clayton Copula-GJR-VaR模型和Gumbel Copula-GJR-VaR模型的套期保值比率和套期保值效果。研究结果表明,经过4年多的发展,套期保值效率处于0.672~0.704之间的中国黄金期货市场还不成熟,套期保值功能的发挥有待提高;采用M-Copula-GJR—VaR模型估计的套期保值比率最优且套期保值效果最好,应用该模型进行黄金市场套期保值操作,可达到以相对较少的套期保值成本较大程度地规避现货市场价格风险的目的。
基于VaR的風險測度方法既側重收益的負嚮波動風險,又可通過置信水平的設定滿足有不同風險偏好的投資者的需求。以具有金融和商品雙重屬性的黃金為實證對象,充分攷慮現貨和期貨市場的非對稱性、兩者之間的協整關繫以及非線性相關的特徵,以風險最小化為原則,建立M—Copula—GJR—VaR動態套期保值比率估計模型。採用中國市場現貨價格和期貨價格數據。對比分析M-Copula-GJR-VaR模型與CCC-GARCH-VaR模型、DCC—GARCH—VaR模型、Clayton Copula-GJR-VaR模型和Gumbel Copula-GJR-VaR模型的套期保值比率和套期保值效果。研究結果錶明,經過4年多的髮展,套期保值效率處于0.672~0.704之間的中國黃金期貨市場還不成熟,套期保值功能的髮揮有待提高;採用M-Copula-GJR—VaR模型估計的套期保值比率最優且套期保值效果最好,應用該模型進行黃金市場套期保值操作,可達到以相對較少的套期保值成本較大程度地規避現貨市場價格風險的目的。
기우VaR적풍험측도방법기측중수익적부향파동풍험,우가통과치신수평적설정만족유불동풍험편호적투자자적수구。이구유금융화상품쌍중속성적황금위실증대상,충분고필현화화기화시장적비대칭성、량자지간적협정관계이급비선성상관적특정,이풍험최소화위원칙,건립M—Copula—GJR—VaR동태투기보치비솔고계모형。채용중국시장현화개격화기화개격수거。대비분석M-Copula-GJR-VaR모형여CCC-GARCH-VaR모형、DCC—GARCH—VaR모형、Clayton Copula-GJR-VaR모형화Gumbel Copula-GJR-VaR모형적투기보치비솔화투기보치효과。연구결과표명,경과4년다적발전,투기보치효솔처우0.672~0.704지간적중국황금기화시장환불성숙,투기보치공능적발휘유대제고;채용M-Copula-GJR—VaR모형고계적투기보치비솔최우차투기보치효과최호,응용해모형진행황금시장투기보치조작,가체도이상대교소적투기보치성본교대정도지규피현화시장개격풍험적목적。
The VaR risk measure not only focuses on the negative fluctuation risk of yields, but also meets the needs of investors with different risk preferences by setting appropriate confidence levels. Taking gold, which owns dual properties of financial and commodity, as the empirical study object, this study takes full account of the asymmetry, the co-integration relationship and the nonlinear correlation of the spot and futures markets and builds the M-Copnla-GJR-VaR dynamic hedging ratios estimation model with the risk minimization principle. The research adopts data from spot price and futures price in Chinese market and 6ompares the hedging ratios and hedging effects of M-Copnla-GJR-VaR model with those of CCC-GARCH-VaR model, DCC-GARCH-VaR model, Clayton-Copula-GJR-VaR model and Gumbel-Copnla-GJR-VaR model. The results show that, after more than 4 years development, the hedging effects of the Chinese gold futures market are between 0.672 and 0.704, which indicates that the market is not yet mature and the hedging function still needs improvement; the hedging ratios and hedging effects of M-Copnla-GJR-VaR model beast best results, so if the model is applied to the hedging operations in gold market, the goal of circumventing the spot market price risk to a large extent with relatively few hedging costs can be achieved.