Implied integrated variance and hedging

If the volatility is stochastic, stock price returns and European option prices depend on the time average of the variance, i.e. the integrated variance, not on the path of the volatility. Applying a Bayesian statistical approach, we compute a forward-looking estimate of this variance, an option-implied integrated variance. Simultaneously, we obtain estimates of the correlation coefficient between stock price and volatility shocks, and of the parameters of the volatility process. Due to the convexity of the Black–Scholes formula with respect to the volatility, pricing and hedging with Black–Scholes-type formulas and the implied volatility often lead to inaccuracies if the volatility is stochastic. Theoretically, this problem can be avoided by using Hull–White-type option pricing and hedging formulas and the integrated variance. We use the implied integrated variance and Hull–White-type formulas to hedge European options and certain volatility derivatives.     

企业运用衍生品的风险管理效果分析——来自中国上市公司的证据

现有文献较少关注企业运用衍生品的风险管理效果,以至于不能准确地解释运用衍生品的行为与功能。以沪深两市上市公司在2005～2011年间运用过衍生品的企业为样本,分析其运用衍生品的风险管理效果,研究发现中国企业运用衍生品的风险管理效果很弱。因此,可以认为中国企业运用衍生品的行为主要是套期获利,而不是名义上宣称的套期保值。     

制造业企业开展套期保值业务的现状及对策分析

在经济全球化背景下,制造业企业在原材料采购和产品销售方面,面临着巨大的价格波动风险。制造业企业如何充分利用期货市场开展套期保值业务来规避价格风险,是企业必须面对的一个重要课题。文章通过对上市的制造业企业展开抽样调查,了解我国上市的制造业企业开展套期保值业务的现状及存在的问题,据此提出强化期货知识培训、丰富期货品种、加强期货市场创新、降低交易成本等方式,提高企业参与套保的积极性,发挥期货市场为实体经济发展服务的广度和深度。     

期权加油卡的产品设计、定价和套期保值研究

在消费者被迫接受成品油价格风险、石油零售商零售业竞争日益激烈和我国成品油定价机制矛盾日益突出的背景下,本文提出石油零售商可发行期权加油卡来实现下面三个目标:(1)为消费者提供成品油价格风险管理的工具;(2)为石油零售商提供一种新的锁定客户的营销手段;(3)推进成品油的市场化改革。本文首先设计期权加油卡,然后采用蒙特卡罗模拟方法对加油卡定价,接着分析石油零售商发行加油卡的风险的套期保值损益,最后讨论期权加油卡的相关实际操作问题。     

最优动态汇率风险套期保值模型研究

构建一个最优动态汇率风险套期保值理论模型,并将其套期保值效率与静态策略进行实证对比.采用对角BEKK模型来捕捉货币现货与期货市场的交互影响,从而刻画风险最小化套期比率的动态特征,结果表明,套期保值能减少汇率风险,但具体的套期保值策略的效率高低排序与避险频率相关.     

从企业境外套期保值的交易方式分析国储期铜巨亏事件

通过国储期铜巨亏事件始末,指出企业进行套期保值是非常必要而且是十分有利的,但有些企业非但没有严格遵守境外套期保值的交易规则,更是违背交易方式,由境外套期保值演变为境外过度投机,针对交易过程中出现的问题提出企业进行境外卖出套期保值时,在传统的期货套保方式中引入期货期权方式进行境外套保,从而避免民族资本遭受损失。     

汇率风险对冲如何影响企业并购行为——基于自由现金流的视角

本文基于2001—2019年上市公司年报中关于外汇衍生品的使用信息,研究发现,使用外汇衍生品的上市公司相比未使用的公司发起并购的概率更低,但并购的市场和经营绩效有所提高。主要原因在于,中国上市公司进行并购通常以企业自有资金进行现金支付,外汇衍生品的使用大幅降低了公司出于预防性动机而持有的现金,从而降低了公司发起并购的概率。此外,进行汇率风险对冲可避免公司因持有大量自由现金流而发生的过度投资行为,从而提高了公司的投资效率。总体而言,使用外汇衍生品进行汇率风险对冲可使上市公司更注重并购质量而非并购数量,从而实现“少而精”的投资策略。本文研究对进一步厘清企业使用外汇衍生品的相关影响提供了一定参考。     

Open economy and financial burden of corruption: theory and application to Asia

We discuss why corruption remains high and show that corruption contributes to the Banking distress and to the rapid transmission across international stock and currency markets. Undeveloped ‘derivative securities’ markets make the risk from stress-induced volatility difficult to manage. Vinod’s (1999) closed economy model is extended to indicate the asymmetry of ‘home bias’ and the effect of corruption on the value at risk (VaR). Our theory predicts that capital flight controls will be many, foreign direct investment (FDI) will be low and cost of capital will be high in corrupt developing countries, which is supported by Asian data. We include some policy recommendations regarding financial institutions and markets.     

基于VaR模型的最优套期保值比例探析——以美元远期套保为例

VaR模型被认为是兼顾投机套利与套期保值两大动机的衍生工具决策模型。国内文献对此讨论较少。基于其理论推导,可以归纳地认为VaR模型具有兼容性、一般性、"期权"特征和可操作性。以美元远期套保为例,研究发现,基于VaR模型的最优套保比较之传统最优套保比、最小方差最优套保比更有优势,能够解释中国企业运用衍生工具失败的原因。但据此推论,基于VaR模型确定最优套保比在实践中仍然存在一些问题,如非正态分布、现货头寸不确定、损益报告困难等。     

Intraday data and hedging efficiency in interest spread trading

Three government bond futures contracts and their respective 3-month interest rate futures contracts traded on LIFFE are examined. The data period covers three years of observations, January 1994-December 1996, sampled at half-hourly intervals. Borrowing from the calculation of minimum variance hedge ratios, half-hourly minimum variance spread ratios (the ratio of one contract to another, which provides the minimum variance) are estimated for the above contracts. The hypothesis under examination is whether there is any value-added in estimating minimum spread ratios based on intraday data. Three spread ratios are defined: two ratios calculated from daily data and a third one based on intraday data. Evidence tends to indicate that spread ratios calculated from intraday data exhibit a substantially lower variance than the other two spread ratio speciications. Thus, it is shown that intraday data, in comparison with daily data, allow for lower hedging costs. Moreover, the use of intraday-based spread ratios might be a contributing factor to reducing the maximum cumulative loss potentially incurred while holding a spread position.