郑棉期货最优套期保值实证研究

本文以目前期货市场上的郑棉期货和棉花现货为研究对象,运用各种估计模型估计出棉花期、现货之间不同周期数据的实际最优套期保值比率,并基于风险最小化的原则对各模型的套期保值绩效进行评估和分析.实证发现,简单套期保值不能达到最优效果,棉花期、现货之间的最优套期保值比率随着数据周期性变化而变化,并且发现样本内的套期保值效果均比样本外数据好,误差修正模型的套期保值绩效最佳.     

沪深300股指期货的套期保值比率研究--基于多种模型的结果对比分析

套期保值的作用是股指期货在金融市场上的一次重要的应用,其效果取决于合理的套期保值比率。文章基于最小方差套期保值原理,建立VAR、VECM、GARCH-BEEK模型对股指期货的套期保值效果进行分析,进而得出套期保值的最优比率。研究结果发现：在进行套期保值时,从模型类型上看,动态模型估计的最优比率进行套期保值的效果要好于静态模型,从合约类型上看,月度合约估计的最优比率进行套期保值的效果要高于季度合约,在静态模型中当月合约的套期保值效果最好,在动态模型中下月合约的套期保值效果最好。     

股指期货最优套期保值比率估计方法研究

本文利用普通线性回归模型、VAR、ECM、FIECM四种模型来计算静态最优套期保值比率,以及利用VAR-GARCH、ECM-GARCH、FIECM-GARCH三种模型来计算动态最优套期保值比率,并利用事后样本数据来比较这些估计效果。研究结果表明,考虑异方差性的模型动态最优套期保值比率普遍小于未考虑到异方差性的静态最优套期保值比率;而动态最优套期保值比率的保值效果则明显优于静态最优套期保值比率的保值效果。     

大豆期货套期保值比率的实证分析

近些年来,我国的期货市场在不断地发展,大豆作为我国的主要农产品之一,其商品期货合约的套期保值比率的研究具有十分重要的意义。因此,本文选用豆一期货为主要研究对象,选取一定量的样本数据,并对数据进行平稳性检验与协整检验,运用普通最小二乘回归模型(OLS模型)、双变量向量自回归模型(B-VAR)以及误差修正模型(ECM)分别估算出套期保值比率,经过一系列的检验最终确定最优套期保值比率。     

沪铜期货的套期保值研究

自金融危机爆发以来,风险越来越深入人心,越来越多的人开始关注如何管理风险,如何降低或转移不利的风险,套期保值者在降低或转移不利的风险选择管理风险的工具时,往往会选择利用套期保值来管理风险,而套期保值是期货市场的基本功能之一,套期保值者可以利用期货合约进行风险管理,降低或转移不利的价格波动风险,所以,运用好套期保值的关键就是利用期货合约,建立多少头寸,即确定最优的套期保值比率。本文以套期保值理论为依据,以计量经济学中的最小二乘法估计为手段,运用Eviews软件确定沪市期货市场中铜期货的最优的套期保值比率,从而最大限度的降低套期保值者风险暴露的程度,降低或转移不利的因价格波动而带来的交易风险。     

我国期货市场套期保值有效性实证研究——以白糖期货为例

本文以白糖期货为例,分别采用OLS模型、B-VAR模型和ECM模型,从组合投资方差最小化的视角实证研究我国期货市场套期保值有效性问题,同时利用样本内和样本外数据对不同套期保值比率下的套期保值有效性进行比较分析。结果显示:与不进行套期保值相比,参与套期保值能够显著降低组合资产收益风险,转移现货市场价格波动风险;无论样本内还是样本外,利用基于协整关系的ECM模型估计得到的套保比率进行套期保值效果都是最好的。     

基于华夏300ETF的沪深300套期保值实证研究

本文主要运用Ol S模型和ECM模型,基于期货和现货市场真实交易数据,对华夏300ETF与股指期货最优套期保值比率进行实证分析,发现回归结果中最优套期保值比率接近于1。理论上,当被保值的资产与期货的标的资产一样,且期货到期时间与保值期限到期时间一样时最小方差套期保值比率等于1。研究表明,我国股指期货市场套期保值效果较好,在实际操作中能满足市场参与者,特别是机构投资者回避股市系统风险的强烈需求,是一种有效的风险管理工具。     

我国期货市场套期保值有效性实证研究——以白糖期货为例

本文以白糖期货为例,分别采用OLS模型、B-VAR模型和ECM模型,从组合投资方差最小化的视角实证研究我国期货市场套期保值有效性问题,同时利用样本内和样本外数据对不同套期保值比率下的套期保值有效性进行比较分析.结果显示:与不进行套期保值相比,参与套期保值能够显著降低组合资产收益风险,转移现货市场价格波动风险;无论样本内还是样本外,利用基于协整关系的ECM模型估计得到的套保比率进行套期保值效果都是最好的.     

棉花期货最优时变套期保值比率估计——基于copula?GARCH模型的实证研究

在期货市场中,套期保值者作为其重要的交易主体,根据期货与现货市场的相关性程度,利用套期保值策略进行风险控制,规避价格波动风险,实现收益最优和风险最小.在学术界里,套期保值研究最为核心的是套期保值比率的测度.本文在相关研究的基础上,引入copula理论的尾部相关性测度指标-Kendall秩相关性系数.同时考虑到金融时间序列具有的尖峰厚尾性,运用阿基米德Gumbel copula函数测算时间序列的尾部相关性系数,进而测度棉花期货与现货市场的套期保值比率.实证分析表明,运用copula?GARCH模型测度的尾部相关系数比线性相关系数 r 在精度上有很大改善     

利用沪深300指数期货进行套期保值的最优比率估计与绩效研究

作为机构投资者的证券投资基金,可以通过股指期货市场参与套期保值,达到管理股票组合市场风险的目的,其核心问题是最优套期保值比率的确定。本文选取沪深300指数期货和中证开放式基金指数作为研究对象,运用普通最小二乘法(OLS)、基于协整的误差修正模型(ECM)和误差修正-广义自回归条件异方差模型(EC-GARCH Model)分别估计了最小风险套期保值比率,同时对套期保值的绩效进行分析,认为在当前市场条件下,参与套期保值比不参与能够更好地管理现货风险,动态的EC-GARCH的绩效最好,OLS和ECM次之,但总体上三者差别不大,都可以达到良好的套期保值效果。     

Hedging with Chinese metal futures

This paper evaluates different hedging strategies for aluminum and copper futures contracts traded at Shanghai Futures Exchange. In addition to usual candidates such as the traditional regression hedge ratio and the hedging strategy constructed from bivariate fractionally integrated generalized autoregressive conditional heteroskedasticity (BFIGARCH) model, two advanced specifications are proposed to account for impacts of the basis on market volatility and co-movements between spot and futures returns. Empirical results suggest that the basis has asymmetric effects and optimal hedging strategy constructed from the asymmetric BFIGARCH model tends to produce the best in-sample and out-of-sample hedging performance.     

模糊厌恶下股指期货风险对冲策略设计及实证分析

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。     

Hedging effectiveness of the Athens stock index futures contracts

This paper examines the hedging effectiveness of the FTSE/ATHEX-20 and FTSE/ATHEX Mid-40 stock index futures contracts in the relatively new and fairly unresearched futures market of Greece. Both in-sample and out-of-sample hedging performances using weekly and daily data are examined, considering both constant and time-varying hedge ratios. Results indicate that time-varying hedging strategies provide incremental risk-reduction benefits in-sample, but under-perform simple constant hedging strategies out-of-sample. Moreover, futures contracts serve effectively their risk management role and compare favourably with results in other international stock index futures markets. Estimation of investor utility functions and corresponding optimal utility maximising hedge ratios yields similar results, in terms of model selection. For the FTSE/ATHEX Mid-40 contracts we identify the existence of speculative components, which lead to utility-maximising hedge ratios, that are different to the minimum variance hedge ratio solutions.     

Bank Funding Risks,Risk Aversion,and the Choice of Futures Hedging Instrument

Currently, theories of financial futures hedging are based on either a portfolio-choice approach or a duration approach. This article presents an alternative: a firm-theoretic model of bank behavior with financial futures. Assuming the bank is uncertain about cash CD interest rates and the quantity of CDs it needs in the future, expressions for the optimal futures hedge are derived under constant absolute risk aversion and constant relative risk aversion. The performance of these two strategies is estimated from 1981–1983 using either the recently developed CD futures contract or the T-Bill futures contract. These results are also compared with the performance of a portfolio-choice strategy and a routine hedging strategy. The analysis indicates that the CD futures market can serve a hedging purpose that is not served by the previously established T-Bill futures market.     

A regime-switching real-time copula GARCH model for optimal futures hedging

A regime-switching real-time copula GARCH (RSRTCG) model is suggested for optimal futures hedging. The specification of RSRTCG is to model the margins of asset returns with state-dependent real-time GARCH and the dependence structure of asset returns with regime switching copula functions. RSRTCG is faster in adjusting to the new level of volatility under different market regimes which is a regime-switching multivariate generalization of the state-independent univariate real-time GARCH. RSRTCG is applied to cross hedge the price risk of S&P 500 sector indices with crude oil futures. The empirical results show that RSRTCG possesses superior hedging performance compared to its nested non-real-time or state-independent copula GARCH models based on the criterion of percentage variance reduction, utility gain, model confidence set, model combination strategy, risk-adjusted return and reward-to-semivariance ratio.     

基于沪铜期货的套期保值比率与效率比较的实证分析

本文以沪铜期货的多头套期保值为研究对象,分别利用OLS模型、ECM模型和GARCH模型对一月期铜和三月期铜的套期保值比例及保值效果进行了分析,发现OLS模型对一月期铜的套期保值效果要优于其他模型的保值效果,而ECM模型和GARCH模型在三月期铜的套期保值方面显示的效果更好。这说明在一般情况下,具有动态特征的计量模型适合于较长的期货合约,其套期保值效果更好。     

航空公司利用上海燃料油期货套期保值交易的战略研究——基于ECM-GARCH模型的实证分析

十二五规划中我国将航空业纳入了重点新兴产业,但是,近几年来航油价格剧烈波动给航空业及其相关产业发展带来较大风险。本文研究了航空公司利用上海燃料油期货交易对航空煤油进行套期保值的策略,基于2004—2012年现货和期货价格的日数据,采用ECM—GARCH模型测算出最优的套期保值比率为39．72％,能够帮助航空公司规避约15％的航油价格波动风险。本文认为,该策略在一定程度上能稳定企业收益,但绩效值略微偏低,这主要是由于危机时期,套期保值的绩效不仅与套保比率相关,还较大程度地受到汇率波动和宏观经济形势的影响。基于此,本文提出了新时期国有和民营航空公司进行套保交易的战略建议。     

Intertemporal Commodity Futures Hedging and the Production Decision

This paper deals with the producer's optimal use of commodity futures in hedging. The framework for analysis is an intertemporal consumption and investment model. The producer makes his production decisions at the beginning of the period and realizes his return at the end of the time interval. During the period, he faces both price and output uncertainties. In applying stochastic dynamic programming methods, this paper shows the effect of these risks on his consumption behavior. Further, the paper investigates his optimal hedging positions in the futures market over time and his optimal production decisions. Finally, implications of these results on the futures markets are discussed.     

沪深300股指期货套期保值模型选择与绩效评价

摘要：基于不同套期保值模型,本文对沪深300股指期货的套期保值效应进行了实证分析,并通过“风险最小化”原则和“效用最大化”原则分别比较不同模型的套期保值绩效。结果发现,在“风险最小化”原则下,无论是对于样本内还是样本外数据,对角ECM．BGARCH（1,1）模型的套期保值绩效都为最优;在“效用最大化”原则下,无论风险系数水平如何,样本内DCC．GARCH模型的套期保值绩效最优,样本外标量ECM—BGARCH（1,1）模型的套期保值绩效最优。     

Multivariate continuous-time modeling of wind indexes and hedging of wind risk

With the introduction of the exchange-traded German wind power futures, opportunities for German wind power producers to hedge their volumetric risk are present. We propose two continuous-time multivariate models for wind power utilization at different wind sites, and discuss the properties and estimation procedures for the models. Applying the models to wind index data for wind sites in Germany and the underlying wind index of exchange-traded wind power futures contracts, the estimation results of both models suggest that they capture key statistical features of the data. We show how these models can be used to find optimal hedging strategies using exchange-traded wind power futures for the owner of a portfolio of so-called tailor-made wind power futures. Both in-sample and out-of-sample hedging scenarios are considered, and, in both cases, significant variance reductions are achieved. Additionally, the risk premium of the German wind power futures is analysed, leading to an indication of the risk premium of tailor-made wind power futures.