基于非线性相关的最小方差套期保值比率研究

在最小方差套期保值模型的基础上,提出了最小方差套期保值的期货与现货波动非线性对冲原理,利用非线性相关系数代替传统的线性相关系数,提高了套期保值比率的准确性。提出了套期保值的收益率波动预测原理,利用GARCH(1,1)预测期货收益率的方差,利用EWMA模型预测现货收益率的方差,解决了收益率在历史期和套期保值期间因收益率波动发生结构性变化所导致的套期保值效果失真的问题。实证研究结果表明,本研究的套期保值比率的有效性高于现有模型,应用本研究模型进行套期保值,可以有效规避现货价格风险。     

商品价格套期保值的基差风险及对策——基于中盛粮油和江西铜业套期保值亏损的案例

近年来，随着国内外大宗商品价格大幅度上下波动，我国有越来越多的企业开始利用国内和国外的期货、期权和互换等衍生金融工具来进行商品价格风险管理，套期保值已成为许多企业经营活动中的关键组成部分。假在2004年和2005年上半年，中盛粮油、江西铜业、特变电工、豫光金铅等上市公司相继公布了套期保值高额亏损事件。这一系列的套期保值高额亏损事件表明国内企业对套期保值的基差风险认识不足和在套期保值风险评估与管理制度上的缺陷.     

套期保值期限与最优套期保值比率——基于沪深300股指期货的实证研究

本文采取了实际套期保值交易中合约的选取方式,基于沪深300股指期货,采用了OLS、ECM、ECM-BGARCH三种模型对套期保值期限与套期保值比率之间的关系进行了研究,并根据套期保值效果给出最优的估计模型。结果表明:首先,在目前的沪深300股指期货市场,套期保值期限越长,最优套期保值比率越小。其次,采用OLS模型估计出的套期保值比率能最大程度上的降低风险,ECM模型次之,ECM-BGARCH最差,且ECM模型与ECM-BGARH模型的运用有一定的局限性。     

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

本文以沪深300股指期货的真实交易数据及沪深300指数为研究对象,在最小方差套期保值的基础上,建立了ECM-BGARCH(1,1)的沪深300股指期货对沪深300指数的动态套期保值模型。其具体特色是:与利用沪深300股指期货仿真交易数据相比,通过利用沪深300股指期货的真实数据得到的最优套期保值比率更具真实性;通过建立具有时变特征、含有自相关和条件异方差的动态BGARCH(1,1)模型,不但考虑了实证所用数据的实际特点,而且保证了套期保值比率预测的准确性;实证研究结果表明,该模型优于现有的套期保值模型。     

金融期货交易中的套期保值和基差风险分析

论述了金融期货的内涵、金融期货市场中的套期保值理论、基本操作方法和期货交易中存在的基差风险以及基差的变动对套期保值效果的影响。     

风物长宜放眼量——论套期保值的功过是非

阐述了企业套期保值的深层动因和套期保值的基差风险,分析了我国企业套期保值现状,并提出了相关对策和建议。     

套期保值的经营策略及其内部控制

套期保值的本质是一种资产组合,该资产组合的损益由进行套期资产组合的现货价格和期货价格的差额来决定,即由基差来决定。由于套期保值存在基差风险,因此,要对基差进行风险管理,建立严格的内部控制制度。     

套期保值的经营策略及其内部控制

套期保值的本质是一种资产组合,该资产组合的损益由进行套期资产组合的现货价格和期货价格的差额来决定,即由基差来决定.由于套期保值存在基差风险,因此,要对基差进行风险管理,建立严格的内部控制制度.     

浅析套期保值经营策略的风险

2004年以来,国内部分上市公司相继公布了商品价格套期保值高额亏损事件,这表明国内企业对套期保值的风险认识不足和在套期保值风险评估与管理制度上存在缺陷.本文通过对中盛粮油工业控股有限公司(1194.HK)(简称"中盛粮油")和江西铜业股份有限公司(简称"江西铜业")套期保值巨额亏损案例的讨论,详细分析和揭示了套期保值的基差风险,并对企业如何加强套期保值的风险评估与管理提出了相关建议.     

浅析套期保值经营策略的风险

2004年以来,国内部分上市公司相继公布了商品价格套期保值高额亏损事件,这表明国内企业对套期保值的风险认识不足和在套期保值风险评估与管理制度上存在缺陷。本文通过对中盛粮油工业控股有限公司(1194.HK)(简称“中盛粮油”)和江西铜业股份有限公司(简称“江西铜业”)套期保值巨额亏损案例的讨论,详细分析和揭示了套期保值的基差风险,并对企业如何加强套期保值的风险评估与管理提出了相关建议。     

Cross-hedging minimum return guarantees: Basis and liquidity risks

We reveal pitfalls in the hedging of insurance contracts with a minimum return guarantee on the underlying investment, e.g. an external mutual fund. We analyze basis risk entailed by hedging the guarantee with a dynamic portfolio of proxy assets for the funds. We also take account of liquidity risk which arises since the insurer may need to advance funds for performing the hedge. Based on a least-squares Monte Carlo simulation, we study the economic implications of basis and liquidity risks. We demonstrate that both risks may be surprisingly high and show how the design of the contract and the hedging strategy may help to alleviate them.     

Optimal corporate hedging using options with basis and production risk

We investigate the optimal hedging strategy for a firm using options, where the role of production and basis risk are considered. Contrary to the existing literature, we find that the exercise price which minimizes the shortfall of the hedged portfolio is primarily affected by the amount of cash spent on the hedging. Also, we decompose the effect of production and basis risk showing that the former affects hedging effectiveness while the latter drives the choice of the optimal contract. Fitting the model parameters to match a financial turmoil scenario confirms that suboptimal option moneyness leads to a non-negligible economic loss.     

股指期货的最优套期保值率实证研究——基于沪深300指数期货仿真交易视角

在分析和比较常用的几种股指期货最优套期保值比率确定模型的基础上,基于风险最小化模型框架,利用沪深300指数期货合约模拟运行以来的样本数据,通过最小二乘回归模型、向量自回归模型、误差修正模型以及广义自回归条件异方差模型四种估计方法,对其最优套期保值比率进行了实证测算和绩效比较,提出了相应的政策建议和投资策略。     

The dynamic connectedness and hedging opportunities of implied and realized volatility: Evidence from clean energy ETFs

This paper aims to examine dynamic connectedness and hedging opportunities between the realized volatilities of clean energy ETFs and energy implied volatilities through Time-Varying Parameter Vector Autoregression Model (TVP-VAR) and Asymmetric Dynamic Conditional Correlation (ADCC) GARCH models. TVP-VAR analysis results show that dynamic connectedness increases during turbulence periods. We also determine that clean energy ETFs such as PBW, QCLN, SMOG, and TAN are net volatility transmitters. Surprisingly, OVX is a net volatility receiver, especially with the developments after the Paris Agreement in 2016.As a result of the ADCC GARCH analysis, we determine that the conditional correlation between clean energy ETFs and implied volatility ETFs is asymmetric, and negative information shocks increase the conditional correlation. Although OVX is a cheap alternative for hedging long position risks in clean energy ETFs, VXXLE is more effective than OVX in terms of hedging effectiveness. These findings provide insight for individual and institutional investors, and portfolio managers on how negative and positive shocks change the conditional correlation between assets at different levels.     

The Use of Forward Contracts for Hedging Currency Risk

This paper derives an optimal rule for hedging currency risk in a general utility framework. Ex ante hedging performance of the forward markets is examined using the optimal hedge ratio derived from the utility model and an optimal rule derived from another model (excess return per unit risk) suggested in the hedging literature. Results of this study indicate a naive (one-to-one) hedge performs similarly to the optimal hedge ratios under either model. An implication of this study is that financial managers of multinational firms should simply follow a one-to-one rule when hedging foreign exchange risk in the forward markets.     

How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons

This study investigates the role of hedging and portfolio design among stocks, exchange rates, and gold in small open economies (SOEs) from 4 January 2000 to 31 March 2020. We adopt the trivariate dynamic conditional correlation-fractionally integrated asymmetric power ARCH model and unconditional quantile regression model, and our findings show that the hedging role of the U.S. dollar (USD) and gold against stocks differs under regular and extreme market conditions. The USD can act as a powerful hedge asset for stocks in regular market periods. Moreover, during the global financial crisis and COVID-19 outbreak, the safe-haven effect of gold becomes stronger for almost all stocks, whereas the USD can serve as a strong safe haven against stock markets of Korea, Taiwan, and Singapore when stock returns are extremely low. In terms of portfolio designing, we find that adding the USD and gold to portfolios improves their hedging effectiveness, and the optimally weighted stock-USD-gold portfolio is the best portfolio strategy, irrespective of referring to return or risk.     

Hedging and pricing with tax law uncertainty: Managing under an Arkansas Best doctrine

This paper develops an analytical model that describes how to construct a hedging portfolio that takes into account the adverse tax treatment of derivative securities so that a position is fully hedged on an after-tax basis regardless of the tax treatment. The main contribution and conclusion of our analysis is that tax uncertainty can be hedged using the same techniques applicable to price uncertainty. As a by-product we will establish that even when the tax treatment is based on the U.S. Supreme Court Arkansas Best decision, it is impossible to target a particular after-tax payoff structure. Rather, the derivative portfolio must be constructed so that it dominates the desired payroff pattern. Obviously, this procedure will increase the cost of the hedge. Consequently, we are able to price the tax uncertainty resulting from any attempt by the tax authorities to implement the Arkansas Best decision. The mark-up in hedging price represents the cost of avoiding the tax uncertainty and can be compared to other legal expenses for tax-conflict resolution.     

Pure jump models for pricing and hedging VIX derivatives

Recent non-parametric statistical analysis of high-frequency VIX data (Todorov and Tauchen, 2011) reveals that VIX dynamics is a pure jump semimartingale with infinite jump activity and infinite variation. To our best knowledge, existing models in the literature for pricing and hedging VIX derivatives do not have these features. This paper fills this gap by developing a novel class of parsimonious pure jump models with such features for VIX based on the additive time change technique proposed in Li et al., 2016a, Li et al., 2016b. We time change the 3/2 diffusion by a class of additive subordinators with infinite activity, yielding pure jump Markov semimartingales with infinite activity and infinite variation. These processes have time and state dependent jumps that are mean reverting and are able to capture stylized features of VIX. Our models take the initial term structure of VIX futures as input and are analytically tractable for pricing VIX futures and European options via eigenfunction expansions. Through calibration exercises, we show that our model is able to achieve excellent fit for the VIX implied volatility surface which typically exhibits very steep skews. Comparison to two other models in terms of calibration reveals that our model performs better both in-sample and out-of-sample. We explain the ability of our model to fit the volatility surface by evaluating the matching of moments implied from market VIX option prices. To hedge VIX options, we develop a dynamic strategy which minimizes instantaneous jump risk at each rebalancing time while controlling transaction cost. Its effectiveness is demonstrated through a simulation study on hedging Bermudan style VIX options.