切换成本对线性市场投资决策影响的实物期权分析

本文基于Hotelling模型,针对一个企业在线性区域内的投资决策,考虑投资者在采用为自己作为新进入公司,为新客户使用本公司的产品付出切换成本来竞争市场的策略行为,建立需求不确定环境中的连续动态模型,应用实物期权分析方法评价投资者的投资机会价值和最优投资策略,研究切换成本对投资者投资机会的价值和投资决策的影响.本文研究结果给出了投资者在付出切换成本获得市场份额和减少成本增加投资价值之间的权衡.     

A Stochastic Programming Model for Currency Option Hedging

In this paper we use a stochastic programming approach to develop currency option hedging models which can address problems with multiple random factors in an imperfect market. The portfolios considered in our model are rebalanced at the end of each time period, and reinvestments are allowed during the hedging process. These sequential decisions (reinvestments) are based on the evolution of random parameters such as exchange rates, interest rates, etc. We also allow the inclusion of a variety of instruments in the hedging portfolio, including short term derivative securities, short term options, and futures. These instruments help generate strategies that provide good liquidity and low trade intensity. One of the important features of the model is that it incorporates constraints on sensitivity measures such as Delta and Gamma. By ensuring that these hedge parameters track a desired trajectory (e.g., the parameters of a target option), the new model provides investment strategies that are robust with respect to the perturbations measured by Delta and Gamma. In order to manage the explosion of scenarios due to multiple random factors, we incorporate sampling within a scenario aggregation algorithm. We illustrate that when compared with other myopic hedging methods in imperfect markets, the new stochastic programming model can provide better performance. Our examples also illustrate stochastic programming as a practical computational tool for realistic hedging problems.     

我国外贸企业人民币升值加息双重风险同步管理与独立管理比较研究

我国出口外贸企业将来收到外汇货款又要借款用于生产,企业面临很大人民币汇率利率双重风险,因此迫切需要解决其风险管理问题。可以使用目前市场上交易的人民币外汇远期、外汇期货和利率远期等衍生工具,分别对这两项风险进行独立管理和同步管理。导出策略的回报、风险和效率等统计指标,比较评价这两种风险管理策略的优良性。得到同步管理比独立管理更加优越的结论,企业可以使用同步管理策略更有效地规避所面临的双重风险。     

Generalised soft binomial American real option pricing model (fuzzy–stochastic approach)

The stochastic discrete binomial models and continuous models are usually applied in option valuation. Valuation of the real American options is solved usually by the numerical procedures. Therefore, binomial model is suitable approach for appraising the options of American type. However, there is not in several situations especially in real option methodology application at to disposal input data of required quality. Two aspects of input data uncertainty should be distinguished; risk (stochastic) and vagueness (fuzzy). Traditionally, input data are in a form of real (crisp) numbers or crisp-stochastic distribution function. Therefore, hybrid models, combination of risk and vagueness could be useful approach in option valuation. Generalised hybrid fuzzy–stochastic binomial American real option model under fuzzy numbers (T-numbers) and Decomposition principle is proposed and described. Input data (up index, down index, growth rate, initial underlying asset price, exercise price and risk-free rate) are in a form of fuzzy numbers and result, possibility-expected option value is also determined vaguely as a fuzzy set. Illustrative example of equity valuation as an American real call option is presented.     

基于GARCH族模型商业银行外汇风险管理的VaR方法研究

面对日趋加大的汇率波动性,商业银行外汇资产面临的风险也越来越大,风险的计量与预测在管理外汇风险中的作用也越来越重要.引入参数法下的GARCH模型对外汇市场存在的风险进行计量分析,并以此为基础运用VaR方法进一步计算外汇资产的风险补偿金,以达到预测和控制外汇风险目的.     

FDI与中国对外贸易的向量误差修正模型

本文以中国的经济数据对外国直接投资(FDI)与对外贸易的联系做了实证检验,根据协整理论建立向量误差修正模型对此问题予以分析,得出结论是在长期和短期内进入中国的外国直接投资与中国的出口都是互补联系,同时在短期外国直接投资与中国的进口也是互补,而在长期外国直接投资与中国的进口却是替代联系。     

Real options approach-based demand forecasting method for a range of products with highly volatile and correlated demand

To achieve a competitive edge needed for marketing highly competitive products, modern enterprises have actively sought to provide the marketplace with an expansive range of products with high random volatility of demand and correlations between demands of product. Consequently, traditional forecasting methods for separately forecasting demand for these products are likely to yield significant deviations. Therefore, this study develops a real options approach-based forecasting model to accurately predict future demand for a given range of products with highly volatile and correlated demand. Additionally, this study also proposes using Monte Carlo simulation to solve the demand forecasting model. The real options approach associated with Monte Carlo simulation not only deals effectively with random variation involving a particular demand stochastic diffusion process, but can handle the correlations in product demand.     

外国直接投资、进出口总额和国内生产总值关系的协整分析

本文利用相关性和协整检验方法,分析外国直接投资、进出口额和国内生产总值的关系,结果显示三者之间存在协整关系,外国直接投资和国内生产总值共同促进国际贸易的增长,但外国直接投资和国内生产总值不存在协整关系,我国利用外资的水平不高.     

分数布朗运动环境下欧式幂期权的定价

本文主要讨论了标的资产受多个分数布朗运动影响的欧式幂期权定价问题:基于风险中性概率测度,给出了在有红利支付且无风险利率及红利率为非随机函数的情况下的两类欧式幂期权定价公式,并分别求出了涨跌欧式幂期权的平价关系.     

CIR利率模型的期权定价

本文讨论了利率服从Vasicek模型时,跳跃扩散模型下欧式期权定价问题.利用特征函数和傅立叶逆反变换,给出了这一模型下欧式看涨期权的定价公式.