股指期货套期保值模型选择和绩效评价——基于沪深300股指期货仿真交易数据的实证分析

本文基于沪深；500股指期货仿真交易的数据，选取华安上证180ETF作为现货组合，运用OLS、VAR、VECM、GAR,CH等不同模型进行套期保值的实证分析。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，发现在样本内GARCH模型降低风险的效果最明显，OLS模型则可使得投资者的效用函数最大化；而对样本外数据，两原则一致认为VECM模型套期保值绩效最优。并给出投资者选择股指期贷套期保值模型的具体建议。     

波动率建模新视角: 无套利局部波动率曲面 ——以上证50ETF期权市场为例

基于SVI函数、平远期插值和Dupire公式,提出NALVS局部波动率建模算法,成功解决了中国期权市场上"有套利"和"少数据"两大难题,构建得到上证50ETF期权无套利局部波动率曲面.研究发现:(1)无套利局部波动率曲面可灵活刻画波动率偏态和期限结构,充分挖掘市场信息;(2)不同时期,上证50ETF期权波动率曲面性态不尽相同,具体表现为NALVS算法下波动率参数的时变性;(3)NALVS算法比BS模型和GARCH模型在场外期权复制对冲上能够得到更小的对冲误差,表明该算法更有利于金融机构对场外期权进行复制和静态对冲.     

股指期货套期保值比率与绩效实证研究

本文运用协整等分析方法,采用0LS回归模型方法、双变量向量自回归模型方法、基于协整的误差修正模型方法、广义自回归条件异方差（GARCH）模型方法、误差修正的GARCH模型方法等对不同模型下的套期保值比率进行实证研究。发现采用各种方法计算的结果都优于“幼稚法”,但各种方法的结果差别不大。最后运用最小方差法对套期保值的有效性做出评价。     

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。     

中国货币供给物价时滞的测度

本文基于2000-2010年的月度数据,运用Granger因果检验、协整检验、向量自回归模型(VECM)以及广义自回归条件异方差模型(GARCH)等方法,研究发现货币供给量改变对通货膨胀具有一种显著的、长期持久的正向影响,其滞后期约为20～25个月.实证表明,通货膨胀一旦发生,如果没有政府的干预,通货膨胀就有一种惯性.     

我国对冲基金的生存偏差、市场环境偏差与绩效评价

本文以我国796只对冲基金作为研究样本,实证检验对冲基金的生存特征、市场环境特征对基金绩效的影响。研究结果发现:我国对冲基金存在显著的生存偏差和市场环境偏差,并且这两种偏差在一定程度上都影响了对冲基金绩效的持续性,其中生存偏差虚增了对冲基金绩效。基于此,本文提出了基于偏差修正的对冲基金绩效评价方法。     

SV—N与SV—M模型测量股市波动性的应用

与传统的GARCH类模型一样,SV模犁(随机波动模型)是用来捕捉股市波动特征的一个较好的模型,该模型在国外得到广泛的应用.实证研究表明:利用SV模型的两个子类,即基于正态分布下的SV模型(SV-N)和均值SV模型(SV-M)来测量我国沪深股市波动性明显优于GARCH类模型,能够更好地描述其统计特征.     

中美大豆期货价格波动特征比较

期货股票等金融市场经常出现波动和集群现象,GARCH类模型是描述这种性质的主要工具。GARCH类模型能够较好地刻画出金融收益率时间序列高峰厚尾、杠杆效应、波动持续性等特征。对于研究期货市场波动性有较好的向导作用,对于研究市场有实际的研究意义和价值。本文以中国大连期货交易市场和美国芝加哥期货加以市场2005年至2012年3月的日收益率作为研究对象。对四段数据进行分析研究建立恰当的GARCH类模型,经过建立多个不同的模型进行对比,选择最佳的模型,最后分别对两个市场两个时段,建立了对应的四个模型,模型均通过了参数检验和残差检验最后进行了两个市场内部和两个市场之间的对比分析。     

基于实现极差和实现波动率的中国金融市场风险测度研究

目前比较流行的金融市场风险价值研究一般采用日收益数据,并基于GARCH类模型进行估计和预测。本文利用沪深股指日内高频数据,分别通过ARFIMA模型和CARR模型对实现波动率和较新的实现极差建模,计算风险价值。通过对VaR的似然比和动态分位数等回测检验,实证分析了各种模型的VaR预测能力。结果显示,使用日内高频数据的实现波动率和实现极差模型的预测能力强于采用日数据的各种GARCH类模型。     

基于ARIMA模型的伦敦金银市场协会黄金定价的异常值检测及检验

采用Chang等人[1]提出的基于ARIMA模型的异常值检测理论,利用GARCH模型与ARMA模型之间的联系,对通常服从GARCH模型的金融序列完成了ARMA模型框架下的异常值检测,并结合历史事件对检测结果做了解释和检验.在说明了GARCH模型转换为ARMA模型的理论依据和可操作性后,对收益率一次性拟合了ARMA模型,模型侦测到的异常值在实际情况中都有着较为显著的事实与之对应,表现了较高的效度和可信度.其较为简明的理论基础和方便的实践分析也具有一定的操作简便性.     

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。     

The hedging effect of green bonds on carbon market risk

This paper explores effective hedging instruments for carbon market risk. Examining the relationship between the carbon futures returns and the returns of four major market indices, i.e., the VIX index, the commodity index, the energy index and the green bond index, we find that the connectedness between the carbon futures returns and the green bond index returns is the highest and this connectedness is extremely pronounced during the market's volatile period. Further, we develop and evaluate hedging strategies based on three dynamic hedge ratio models (DCC-APGARCH, DCC-T-GARCH, and DCC-GJR-GARCH models) and the constant hedge ratio model (OLS model). Empirical results show that among the four market indices the green bond index is the best hedge for carbon futures and performs well even in the crisis period. The paper also provides evidence that the dynamic hedge ratio models are superior to the OLS model in the volatile period as more sophisticated models can capture the dynamic correlation and volatility spillover between the carbon futures and market index returns.     

Analyzing hedging strategies for fixed income portfolios: A Bayesian approach for model selection

During the recent European sovereign debt crisis, returns on EMU government bond portfolios experienced substantial volatility clustering, leptokurtosis and skewed returns as well as correlation spikes. Asset managers invested in European government bonds had to derive new hedging strategies to deal with changing return properties and higher levels of uncertainty. In this environment, conditional time series approaches such as GARCH models might be better suited to achieve a superior hedging performance relative to unconditional hedging approaches such as OLS. The aim of this study is to test innovative hedging strategies for EMU bond portfolios for non-crisis and crisis periods. We analyze single and composite hedges with the German Bund and the Italian BTP futures contracts and evaluate the hedging effectiveness in an out-of-sample setting. The empirical analysis includes OLS, constant conditional correlation (CCC), and dynamic conditional correlation (DCC) multivariate GARCH models. We also introduce a Bayesian composite hedging strategy, attempting to combine the strengths of OLS and GARCH models, thereby endogenizing the dilemma of selecting the best estimation model. Our empirical results demonstrate that the Bayesian composite hedging strategy achieves the highest hedging effectiveness and compares particularly favorable to OLS during the recent sovereign debt crisis. However, capturing these benefits requires low transactions cost and efficiently functioning futures markets.     

The use and abuse of the hedging effectiveness measure

Ederington (1979) proposed an effectiveness measure for futures hedging. Since then, this measure has been widely adopted in the literature to compare different hedge ratios against the OLS (ordinary least squares) hedge ratio. This note attempts to demonstrate this application is inappropriate. Ederington hedging effectiveness is only useful for measuring the risk reduction effect of the OLS hedge ratio. It does not apply to other hedge ratios and therefore should not serve as a criterion to compare different hedge strategies against the OLS strategy. A strict application of this measure almost always leads to an incorrect conclusion stating that the OLS hedge ratio is the best hedging strategy.     

Determination of stock closing prices and hedging performance with stock indices futures

This paper examines the impact of the determination of stock closing prices on futures price efficiency and hedging effectiveness with stock indices futures. The empirical results indicate that the increase in the length of the batching period of the stock closing call improves price efficiency in the futures closing prices and then enhances hedging performance in terms of the hedging risks. Additionally, from a utility‐maximization point of view, hedging performance does not improve after the introduction of the 5 min stock closing call, which can be explained by an improvement in price efficiency at the futures market close.     

中国利率互换套期保值有效性实证研究

为了研究我国利率互换的套期保值功能,该文利用协整检验分析利率互换和国债的长期均衡关系,并通过确定套期保值比率的OLS模型和套期保值绩效的衡量指标,对利率互换的套期保值比率和绩效进行了实证研究。结果显示,我国当前利率互换和国债收益率并不存在长期均衡关系;利率互换市场尚未发挥套期保值功能,其运行效率有待进一步提高。     

中国期货市场套期保值绩效实证研究

为了研究中国期货市场的套期保值绩效，本文利用确定套期保值比率的OLS、B-VAR、ECHM和EC—GARCH四个模型和套期保值绩效的衡量指标，对中国期货的小麦、大豆、铜和铝的套期保值比率和绩效进行了实证研究，使用1998～2004年中国期货与现货价格的周数据来进行单位根和协整检验等计量分析。研究显示，金属期货品种的套期保值比率和绩效比农产品期货品种的套期保值比率和绩效都要高。考虑了协整关系的ECHM和EC—GARCH模型的套期保值比率和绩效比没有考虑协整关系的OLS和B—VAR模型高，样本区间外的套期保值绩效优于样本区间内的绩效。本文认为采用ECMH和EC—GARCH模型进行套朔保值是最佳的策略。     

Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India

In a free capital mobile world with increased volatility, the need for an optimal hedge ratio and its effectiveness is warranted to design a better hedging strategy with future contracts. This study analyses four competing time series econometric models with daily data on NSE Stock Index Futures and S&P CNX Nifty Index. The effectiveness of the optimal hedge ratios is examined through the mean returns and the average variance reduction between the hedged and the unhedged positions for 1-, 5-, 10- and 20-day horizons. The results clearly show that the time-varying hedge ratio derived from the multivariate GARCH model has higher mean return and higher average variance reduction across hedged and unhedged positions. Even though not outperforming the GARCH model, the simple OLS-based strategy performs well at shorter time horizons. The potential use of this multivariate GARCH model cannot be sublined because of its estimation complexities. However, from a cost of computation point of view, one can equally consider the simple OLS strategy that performs well at the shorter time horizons.     

STOCK INDEX FUTURES HEDGING: HEDGE RATIO ESTIMATION, DURATION EFFECTS, EXPIRATION EFFECTS AND HEDGE RATIO STABILITY

This paper examines hedging effectiveness for the FTSE-100 Stock Index futures contract from 1984 to 1992. It investigates the appropriate econometric technique to use in estimating minimum variance hedge ratios by undertaking estimations using OLS, an ECM and GARCH. Simple OLS outperforms more complex econometric techniques. Additionally, the paper examines the impact ofhedge duration and time to expiration on estimated hedge ratios and hedge ratio stability over time. It is shown that hedge ratios and hedging effectiveness increase with hedge duration, hedge ratios approach unity as expiration approaches and while hedge ratios vary over time they are stationary.