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金融研究  2022, Vol. 503 Issue (5): 170-188    
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模糊厌恶下股指期货风险对冲策略设计及实证分析
张金清, 尹亦闻
复旦大学经济学院, 上海 200433
A Theoretical and Empirical Analysis of Portfolio Hedging Strategy with Stock Index Futures under Ambiguity Aversion
ZHANG Jinqing, YIN Yiwen
School of Economics, Fudan University
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摘要 投资者对股指期货与现货有着不同的模糊厌恶,本文首先将此假设条件引入带交易成本的Garleanu and Pederson (2013)投资模型中,并以指数基金对冲策略为例,构建了一个股指期货动态对冲的理论模型。与非对冲策略相比,基于上述模型设计的对冲策略投资绩效更好,动态最优成交额占目标交易额的比例更小,目标成交额对收益率预测因子的敏感性更大。借助上述模型,本文选取2010年4月至2021年6月的中国ETF指数基金和股指期货数据,并以2015年9月股指期货管理措施实施为界进行区间划分,实证研究发现:(1)中国A股市场的ETF投资组合进行股指期货对冲显著提升了投资绩效,但股指期货管理会削弱该作用;(2)投资绩效改善主要来源于交易成本的下降与目标成交额因子敏感性的提升,该机制受到股指期货管理的约束;(3)与Garleanu and Pederson (2013)、Zhang et al. (2017)相比,本文对冲策略保留“抗跌”特点的同时增加了“易涨”特性。本文研究结果表明,在当前大力发展机构投资者的背景下应不断丰富股指期货、股指期权产品谱系,降低股指期货交易成本并完善持仓约束。
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张金清
尹亦闻
关键词:  模糊厌恶  交易成本  风险对冲策略  股指期货  指数基金    
Summary:  Under high volatility, given the limited short selling opportunities in China's A-share market, futures and options products are essential to meet the strong investor demand for risk hedging. However, there are few studies on the type of risk hedging strategies or stock index futures that are suitable for China's A-share market. This paper studies one such optimal risk hedging strategy: trading open-end index funds (ETF) under ambiguity aversion and with transaction costs.
The goal of a hedging strategy is to improve investment performance by adjusting the risk exposure of a portfolio at low cost. Garleanu and Pederson (2013) analyze the liquidity cost of stock spot and futures trading and the impact of their differences on hedging strategies. Under the condition of investors' ambiguity aversion, Garleanu-Pederson identify novel characteristics that can improve investment performance and reduce transaction costs (Zhang et al., 2019). However, there are few studies of futures hedging strategies under ambiguity aversion.
The contributions of this paper are as follows. First, this paper introduces ambiguity aversion into the hedging strategy of stock index funds and examines the influence of ambiguity aversion on the optimal position of securities given restrictions on futures trading. Second, this paper distinguishes between the transaction costs of stock index futures and ETFs and considers the interaction of transaction costs and investors' ambiguity aversion within Garleanu-Pederson's model. It finds that ambiguity aversion reduces the transaction costs caused by wrong investment decisions and improves investment performance. Third, this paper separates the independent disturbance term of ETF yield from stock index futures, to further distinguish the effects of ambiguity aversion on the disturbance term and futures.
Ambiguity aversion and transaction costs are introduced into the Garleanu-Pederson framework to construct a theoretical model of the dynamic hedging of stock index funds. Then, the model is tested using a dataset of China's ETF portfolio and stock index futures. According to the model, if the estimations of ambiguity aversion and transaction cost parameters are reasonable, the performance of an investment portfolio based on a hedging strategy will be better than one based on a non-hedging strategy, the ratio of dynamic optimal trading volume to aim trading volume will be smaller, and the target trading volume will be more sensitive to the expected return predictor. This paper uses ETF and stock index futures data from China's A-share market from April 2010 to June 2021 to empirically test the above reasoning. There are three main results. First, a hedging strategy can significantly improve investment performance, and restrictions on stock index futures trading weaken this effect. Second, the decrease in transaction costs and the flexibility of target position adjustment are the main channels of investment performance improvement. Third, relative to previous studies, such as Garleanu and Pederson (2013) and Zhang et al. (2019), this paper's findings are more robust and highlight the characteristics of sensitivity.
The findings have implications for the development of China's derivatives market. First, continuously enriching the product series of stock index futures and stock index options should become the key issue of capital market infrastructure construction. Second, although using a risk hedging strategy on stock index futures to implement ETF produces better performance than using a non-hedging strategy, trading restrictions on stock index futures weaken this effect. Therefore, the reduction of transaction costs and arbitrage constraints should be promoted, so as to improve the ability of institutional investors, such as funds, to use derivatives to manage risk and create value.
Keywords:  Ambiguity Aversion    Transaction Cost    Hedging Strategy    Stock Index Futures    Index Fund
JEL分类号:  G11   G21   G32  
基金资助: * 本文感谢国家自然科学基金资助项目“经济增速下滑风险下我国商业银行最低流动性水平的确定”(71771056)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  张金清,金融数学博士,教授,复旦大学经济学院,E-mail:zhangjq@fudan.edu.cn.   
作者简介:  尹亦闻,经济学博士,博士后,复旦大学经济学院,E-mail:ywyin16@fudan.edu.cn.
引用本文:    
张金清, 尹亦闻. 模糊厌恶下股指期货风险对冲策略设计及实证分析[J]. 金融研究, 2022, 503(5): 170-188.
ZHANG Jinqing, YIN Yiwen. A Theoretical and Empirical Analysis of Portfolio Hedging Strategy with Stock Index Futures under Ambiguity Aversion. Journal of Financial Research, 2022, 503(5): 170-188.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2022/V503/I5/170
[1] 程展兴和剡亮亮,2013,《非同步交易、信息传导与市场效率——基于我国股指期货与现货的研究》,《金融研究》第11期,第154~166页。
[2] 迟国泰、余方平和王玉刚,2010,《基于动态规划多期期货套期保值优化模型研究》,《中国管理科学》第3期,第17~24页。
[3] 付胜华和檀向球,2009,《股指期货套期保值研究及其实证分析》,《金融研究》第4期,第113~119页。
[4] 宫晓琳、彭实戈、杨淑振、孙怡青和杭晓渝,2019,《基于不确定性分布的金融风险审慎管理研究》,《经济研究》第7期,第64~77页。
[5] 韩立岩和泮敏,2012,《基于奈特不确定性随机波动率期权定价》,《系统工程理论与实践》第6期,第1175~1183页。
[6] 李少育,2013,《稳健性偏好、惯性效应与中国股市的投资策略研究》,《经济学(季刊)》第2期,第453~474页。
[7] 陶利斌、潘婉彬和黄筠哲,2014,《沪深300股指期货价格发现能力的变化及其决定因素》,《金融研究》第4期,第128~142页。
[8] 佟孟华,2011,《沪深300股指期货动态套期保值比率模型估计及比较——基于修正的ECM-BGARCH (1,1)模型的实证研究》,《数量经济技术经济研究》第4期,第137~149页。
[9] 熊熊、许克维和沈德华,2020,《投资者情绪与期货市场功能——基于沪深300股指期货的研究》,《系统工程理论与实践》第9期,第2252~2268页。
[10] 许荣和刘成立,2019,《限制交易政策如何影响期现关系?——对股指期货价格发现功能的实证检验》,《金融研究》第2期,第154~168页。
[11] 张龙斌,2013,《沪深300指数期货在动态组合保险中的应用研究》,《管理工程学报》第4期,第137~141页。
[12] Amihud Y., 2002, “Illiquidity and Stock Returns: Cross-section and Time-series Effects,” Journal of financial markets, 5(1), pp.31~56.
[13] Bichuch M. and P. Guasoni, 2018, “Investing with Liquid and Illiquid Assets,” Mathematical Finance, 28(1), pp.119~152.
[14] Brenner M., and Y. Izhakian, 2018, “Asset Pricing and Ambiguity: Empirical Evidence,” Journal of Financial Economics, 130(3), pp.503~531.
[15] Chang C. and E. Lin, 2014, “On the Determinants of Basis Spread for Taiwan Index Futures and the Role of Speculators,” Review of Pacific Basin Financial Markets and Policies, 17(1),pp. 1~30.
[16] Dark, J., 2015, “Futures Hedging with Markov Switching Vector Error Correction FIEGARCH and FIAPARCH,” Journal of Banking & Finance, 61(1), pp. 269~285.
[17] Do B. H. and R. W. Faff, 2004, “Do Futures‐based Strategies Enhance Dynamic Portfolio Insurance,” Journal of Futures Markets: Futures, Options, and Other Derivative Products, 24(6), pp.591~608.
[18] Escobar M., S. Ferrando, A. Rubtsov, 2015, “Robust portfolio choice with derivative trading under stochastic volatility,” Journal of Banking and Finance, 61(12), pp.142~157.
[19] Garlappi L., R. Uppal and T. Wang, 2006, “Portfolio Selection with Parameter and Model Uncertainty: A Multi-prior Approach,” The Review of Financial Studies, 20(1), pp.41~81.
[20] Gârleanu N. and L. H. Pedersen, 2013, “Dynamic Trading with Predictable Returns and Transaction Costs,” The Journal of Finance, 68(6), pp.2309~2340.
[21] Glasserman P. and X. Xu, 2013, “Robust Portfolio Control with Stochastic Factor Dynamics,” Operations Research, 61(4), pp.874~893.
[22] Hansen L. P. and T. J. Sargent, 2001, “Robust Control and Model Uncertainty,” American Economic Review, 91(2), pp.60~66.
[23] Maenhout P. J., 2004, “Robust Portfolio Rules and Asset Pricing,” Review of Financial Studies, 17(4), pp.951~983.
[24] Zhang J., Z. Jin and Y. An, 2017, “Dynamic Portfolio Optimization with Ambiguity Aversion,” Journal of Banking & Finance, 79, pp.95~109.
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[2] 尹志超, 公雪, 潘北啸. 移动支付对家庭货币需求的影响——来自中国家庭金融调查的微观证据[J]. 金融研究, 2019, 472(10): 40-58.
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