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模糊随机不确定环境下考虑决策者主观判断的亚式期权定价
引用本文:王献东,何建敏. 模糊随机不确定环境下考虑决策者主观判断的亚式期权定价[J]. 中国管理科学, 2020, 28(9): 33-44. DOI: 10.16381/j.cnki.issn1003-207x.2020.09.004
作者姓名:王献东  何建敏
作者单位:1. 常州工学院理学院, 江苏 常州 213032;2. 上海交通大学安泰经济与管理学院, 上海 200030;3. 东南大学经济管理学院, 江苏 南京 211189
基金项目:国家自然科学基金面上资助项目(71771147);江苏省高校自然科学研究面上资助项目(18KJB110001)
摘    要:考虑金融市场的不确定性包含随机性和模糊性两个方面,把标的资产价格视作一个模糊随机过程,以连续几何平均亚式看涨期权为例运用随机分析和模糊集理论研究了模糊随机不确定环境下的亚式期权定价问题。首先,推导出了亚式期权模糊价格的任意水平截集,并将如何计算给定任一个参考价格的置信度问题转化为求解最优化问题。然后,研究了两种考虑决策者主观判断的亚式期权定价,一是引入模糊目标表示决策者对期权预期价格的满意度,给出可靠度大于决策者满意度的亚式期权预期价格的范围;二是引入悲观-乐观指数表示决策者的悲观程度,基于加权函数和可能性估计测度定义模糊数的可能性均值,得到可能性均值意义下的亚式期权定价公式。最后,给出了一个数值例子说明了模型的可行性和实用性。

关 键 词:亚式期权定价  模糊随机不确定  模糊目标  悲观-乐观指数  可能性均值
收稿时间:2018-06-11
修稿时间:2018-09-30

Pricing Asian Options under Uncertain Environment with Fuzziness and Randomness Considering Decision Maker's Subjective Judgment
WANG Xian-dong,HE Jian-min. Pricing Asian Options under Uncertain Environment with Fuzziness and Randomness Considering Decision Maker's Subjective Judgment[J]. Chinese Journal of Management Science, 2020, 28(9): 33-44. DOI: 10.16381/j.cnki.issn1003-207x.2020.09.004
Authors:WANG Xian-dong  HE Jian-min
Affiliation:1. School of Sciences, Changzhou Institute of Technology, Changzhou 213032, China;2. Antai college of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China;3. School of Economics and Management, Southeast University, Nanjing 211189, China
Abstract:Option pricing is one of the core issues in financial engineering research. The value of an option depends on the price of the underlying asset during the period of validity. Therefore, it is the basis and key of option pricing to properly construct the underlying asset price dynamic model. The mainstream option pricing model mainly describes the uncertainty of underlying asset price by stochastic differential equations.However, the financial system is highly complex. Owing to market fluctuations, human error, insufficient information and other reasons, the uncertainty cannot be described only by randomness. For instance, if the stock price is around 50 yuan, it is difficult to model the phrase "around 50" from the perspective of probability theory, obviously it has a fuzzy feature. The uncertainty in financial markets involves at least two aspects, namely, fuzziness and randomness, and these two aspects cannot be substituted. Randomness can be modeled by the stochastic analysis theory, and fuzziness can be modeled by the fuzzy set theory. In addition, the recent behavioral financial studies have shown that decision maker's subjective judgment, such as sentiment, preference and expectation, have a certain impact on decision-making.Based the above analysis, a fuzzy stochastic process model is constructed for underlying stock price by fuzzy random variables, and the stochastic analysis and fuzzy set theory are used to study the pricing problem of continuous geometric average Asian call options under uncertain environment with fuzziness and randomness taking account of investor's subjective judgment. An Asian option is a popular financial derivative, where the payoff is based on the average underlying asset price over some pre-set period prior to maturity. The payoff structure of Asian options makes them less vulnerable to manipulation.Firstly, the arbitrary level cut sets of Asian option fuzzy price is deduced according to the definition of expectations of fuzzy random variables, and the problem of determining the confidence degree for any given reference price is converted into solving optimization problem.Secondly, the Asian option pricing problem is studied considering two kinds of decision-maker's subjective judgment. One is to introduce a fuzzy goal to represent the degree of decision maker's satisfaction for expected option price, and present the permissible range of rational expected Asian option prices such that the degree of reliability of the expected price is greater than the degree of decision maker's satisfaction. The other is to introduce pessimism-optimism index to represent the decision maker's pessimistic degree, and derive the Asian option pricing formula in the sense of possibility mean values defined based on weighing function and possibility evaluation measure.Finally, some numerical examples are presented to illustrate the feasibility and practicality of the models. The results show that fuzzy stochastic modeling has good reliability and effectiveness. The permissible range of rational expected prices depends on the fuzzy goal selected by the decision-maker. The weighted possibility mean value of Asian option price is an increasing function of fuzzy factor, and is a decreasing function of pessimism-optimism index.The options pricing model considering decision maker's subjective judgment under uncertain environment with fuzziness and randomness increases the flexibility of investment decision and has more practical significance. This paper makes up for the deficiency of the existing literature, and draws some valuable conclusions. It provides a new idea for the pricing of options and many other financial derivatives, risk management and investment decision under uncertain environment.
Keywords:Asian option pricing  uncertainty with fuzziness and randomness  fuzzy goal  pessimism-optimism index  possibility mean value  
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