时变风险厌恶下的期权定价——基于上证50ETF期权的实证研究

传统的随机波动率（SV）期权定价是在投资者具有常数风险偏好假设下进行的.但近年来越来越多的研究表明,市场参与者具有时变风险厌恶特征.基于此,本文对时变风险厌恶条件下的期权定价问题进行深入研究.首先,对传统的（非仿射）常数风险厌恶SV（CRA-SV）期权定价模型进行扩展,构建时变风险厌恶SV（TVRA-SV）期权定价模型对期权进行定价,并分析时变风险厌恶对期权价格的影响;其次,采用标的资产与期权数据信息,建立基于连续粒子滤波的极大似然估计方法,对定价模型的客观与风险中性参数进行联合估计;最后,采用我国期权市场上的上证50ETF期权数据,对构建的定价模型进行实证检验.结果表明：TVRA-SV期权定价模型相比传统的CRA-SV期权定价模型具有更好的数据拟合效果,能够更充分地刻画标的上证50ETF收益率在客观与风险中性测度下的波动性;TVRA-SV期权定价模型相比传统的Black-Scholes（B-S）期权定价模型和CRA-SV期权定价模型都具有明显更高的定价精确性。     

成本信息不对称下的应用服务外包菜单式合约

客户企业实施应用服务外包时,面临着成本信息不对称所带来的风险。针对该问题,以客户企业期望收入最大化为目标,在应用服务提供商(Application Service Provider, ASP)所拥有的成本效率参数及努力水平不可观测下研究客户企业如何通过服务外包菜单式合约的设计激励ASP付出最优的努力水平,并显示出真实的成本信息。研究表明,收益共享系数是成本效率参数、风险规避度、产出方差的减函数;客户企业向ASP支付的期望服务报酬除了补偿保留效用与服务生产成本还将额外支付风险成本、信息租金;风险成本随风险规避度、产出方差递增,随成本效率参数递减;信息租金随风险规避度、产出方差、成本效率参数递减。     

RISK AVERSION,WEALTH, AND BACKGROUND RISK

We use household survey data to construct a direct measure of absolute risk aversion based on the maximum price a consumer is willing to pay for a risky security. We relate this measure to consumer's endowments and attributes and to measures of background risk and liquidity constraints. We find that risk aversion is a decreasing function of the endowment—thus rejecting CARA preferences. We estimate the elasticity of risk aversion to consumption at about 0.7, below the unitary value predicted by CRRA utility. We also find that households' attributes are of little help in predicting their degree of risk aversion, which is characterized by massive unexplained heterogeneity. We show that the consumer's environment affects risk aversion. Individuals who are more likely to face income uncertainty or to become liquidity constrained exhibit a higher degree of absolute risk aversion, consistent with recent theories of attitudes toward risk in the presence of uninsurable risks. (JEL: D1, D8)     

Decision making in the newsvendor problem: A cross-national laboratory study

In this paper, we conduct a laboratory experiment using the classic newsvendor problem to examine cross-national differences in inventory ordering patterns between Chinese and American decision makers based on a theoretical examination of the role of the Doctrine of the Mean in Chinese decision making. Drawing on the theory of context-dependent preferences (specifically extremeness aversion), we also revisit the flat-maximum hypothesis of Bolton and Katok [12], i.e., “thinning the set of order options leads to newsvendor decisions that achieve a higher proportion of maximum expected profit.” The results show that the “pull-to-center” effect is more prominent for Chinese than Americans, i.e., average order quantities of Chinese subjects are closer to the anchor of mean demand than those of American subjects. Furthermore, we find that thinning the set of order options such that the optimal order quantity is a middle option, not an extreme option in the choice set, leads to better performance in newsvendor decisions, which complements the flat-maximum hypothesis.     

The Adverse Consequences of Share-Based Pay in Risky Companies

Shareholders increasingly regard it as desirable to link director pay packages to the share price, in order to align directors’ incentives with those of the shareholders. The result of such remuneration packages is that directors’ wealth will become concentrated in one stock, giving them an undiversified portfolio of shares. The resulting need to diversify will encourage directors to exercise their share options, irrespective of their expectations about future stock price performance. This benefit to diversifying will be greater the riskier the stock. Consistent with this, this paper finds that only option exercises in relatively low risk companies are informed, and precede significantly negative abnormal returns over the following 2-month period. As a result, providing directors in riskier companies with share-based pay packages might not be effective in aligning their incentives with those of the shareholders.     

基于不公平厌恶或地位追求的创新顾客最优合同类型研究

本文首先从创新顾客的公平偏好程度、薪酬合同类型（最优激励系数）与激励机制效果的关系入手,引入公平偏好理论（不公平厌恶和地位追求）、相对绩效评估（RPE）和参与成本要素,构建顾客参与企业新产品开发的激励模型;其次,通过模型求解和分析,探讨分析各类薪酬合同中风险成本、不公平预期损失和激励效果之间的关系;最后,通过仿真实验验证并确定企业采用的创新顾客最优薪酬合同类型。研究发现：在同一薪酬合同下,创新顾客愈不在意其参与成本的投入,该合同的激励效果愈积极;关于创新顾客最优合同类型的选择,意味着求解一个三方面权衡,包括风险成本、不公平预期损失和公平偏好的激励效果;对于公平偏好程度较低的创新顾客,企业可采用相对绩效合同,例如锦标竞争合同;对于公平偏好程度较高的创新顾客,当其风险规避程度较高时,可采用团队报酬合同,当其风险规避程度较低时,可采用完美团队合同。     

基于决策者风险规避特性的供应链需求信息共享价值分析

在随机需求条件下,利用条件风险估值(conditional value-at-risk,CVaR)的风险度量准则建立了供应链的需求信息共享决策模型,着重分析了零售商的风险规避程度以及市场需求的不确定性信息对供应链各决策者以及供应链整体信息共享价值的影响。研究结果表明,需求信息共享价值与零售商的风险规避程度、市场不确定性大小以及市场不确定信息所预测的市场需求变化情况有关。数值分析结果表明,零售商越害怕市场的不确定性风险,需求信息共享越有利于提升分散供应链的运作效率;但当市场信息反映出未来的市场需求是消极且零售商接近风险中性时,供应链的需求信息共享价值反而小于零,此时没有进行信息共享的必要。     

Perfectionism and Choice

Empirical evidence suggests that perfectionism can affect choice behavior. When striving for perfection, a person can desire to keep normatively appealing options feasible even if she persistently fails to use these options later. For instance, she can “pay not to go to the gym,” as in DellaVigna and Malmendier (2006). By contrast, some perfectionists may avoid normatively important tasks for fear of negative self‐evaluation of their performance. This paper models perfectionist behaviors in Gul and Pesendorfer's (2001) menu framework where agents may be tempted to deviate from their long‐term normative objectives. In addition to self‐control costs, I identify a utility component that reflects emotional costs and benefits of perfectionism. My model is derived from axioms imposed on preferences over menus in an essentially unique way.     

考虑销售商风险规避的双边信息不对称的供应链协调

非对称信息和风险态度成为影响供应链协调的重要因素,而契约机制设计是实现协调的一种方法。本文在双边成本信息不对称情形下研究供应链契约机制的设计问题。考虑了由一个风险中性的供应商和一个风险规避的销售商组成的二级供应链,供应商和销售商分别拥有私人的生产成本信息和销售成本信息。在分散决策下,供销双方为获得更好的私人利得从而有隐藏信息的动机。为实现信息的真实揭示,文中引入了利他委托人这一概念,从而供应链成为协调主体。借助AGV机制思想,设计了具有激励性质的转移支付,并且基于均值-方差方法建立了非对称信息下的供应链模型。我们发现销售商风规避度在一定范围时,所设计的激励机制能够实现供销双方信息的真实揭示,但并不能完全保证双方的事后非负收益。为解决这一问题,给出一种以期望信息租金比为基础的事后收益分配规则,设计了补偿参数。结合转移支付和补偿参数,提出了一个契约机制。我们发现当销售商风规避度不超过上界k_r时,该机制能真实的揭示信息,并且能够保证供销双方的事后合理的收益分配。此外,当供销双方真实揭示信息时,风险规避度较大的销售商组成的供应链有更低商品交易量和供应链收益。最后,给出数值算例,验证信息揭示的激励有效性并对风险规避度进行敏感性分析。本文的研究将对双边不对称信息下的供应链管理提供一定的理论基础和实践指导。     

基于动态损失厌恶投资组合模型的最优资产配置与实证研究

从行为金融学的角度考虑投资者损失厌恶的心理特征,建立预期效用最大化的动态损失厌恶投资组合优化模型。以我国股票市场为依托,将市场分为上升、下降和盘整三种状态,研究动态损失厌恶投资组合模型的最优资产配置和绩效表现,并与静态损失厌恶投资组合模型、M-V投资组合模型和CVaR投资组合模型进行比较。最后,在具有交易成本的条件下对动态模型进行稳健性检验。得出结论：不同情况下,动态损失厌恶投资者具有不同的最优资产配置比例,且动态损失厌恶投资组合模型明显优于静态模型、M-V投资组合模型和CVaR投资组合模型。     

It’s Not What You Pay it’s the Way that You Pay it and that’s What Gets Results: Jockeys’ Pay and Performance

Management scholars and economists have recently set out the requirements of a system to elicit good performance when it is necessary to align the interests of the principal and agent. We analyse pay and performance in an occupation — jockeys — replete with moral hazard possibilities. We are able to do this because, most unusually, a measure of pure individual performance exists for an unbalanced panel of some 50 individuals for 8 years. Three hypotheses are tested. First, in line with classic agency theory, we expect monitoring mechanisms and incentive contracts to be used to align the interests of principals and agents. Second, pay and performance should be positively associated, subject to the first hypothesis being confirmed. Third, a limited number of jockeys were paid via an alternative mechanism involving very large non-contingent retainer fees. This serves as our counterfactual payment system. In line with agency theory we expect worse performance under such a system than under an incentive contract. The three hypotheses are confirmed: incentive contracts generate superior performance to non-contingent payment systems. Our evidence suggests that ‘it’s not what you pay it’s the way that you pay it … and that’s what gets results’. It is maddening that society confers its blessings on traditional academic pursuits but views the study of horseracing as utter frivolity (Beyer, 1983).     

On the Preference to Avoid Ex Post Inventory Errors

The value of demand information underlies many supply chain strategies that aim at better matching supply and demand. This study reports on the results of a laboratory experiment designed to estimate the behavioral value of demand information. Relative to the commonly assumed benchmark of a rational risk‐neutral decision maker, we find that decision makers are consistently willing to pay too much for the option to eliminate the risk of supply not matching demand. Contrary to intuition, we show that risk aversion does not explain this result. We posit that demand information provides behavioral value because it mitigates regret from ex post inventory errors.     

时变损失厌恶下基于动态CVaR的ETF基金最优资产配置策略研究

首先对静态线性损失厌恶下的最优资产配置策略模型及其性质进行了分析,构建了基于TGARCH-EVT-POT-GPD的动态市场风险测度方法,提出了时变损失厌恶条件下基于动态条件风险约束的ETF基金最优资产配置策略模型,并基于遗传算法进行了求解。实证研究发现：当参考收益率及CVaR置信水平固定时,随着损失厌恶系数的增大,投资者采用大幅调整资产权重的方式来获得盈利的行为将逐渐减少;当参考收益率及损失厌恶系数固定且CVaR置信水平变化条件下,置信水平越高,损失厌恶投资者更偏好风险较低的资产,其对于投资风险的估计将更加敏感,投资策略更为保守;损失厌恶系数较高置信水平固定时,随着参考收益率的增加,单项资产的CVaR逐渐减小;在置信水平较高时,随着损失厌恶系数的增加,即使参考收益率增加,但投资组合的超额损失平均水平降低。     

Performance of weather-conditional rebates under different risk preferences

Retailers who sell seasonal products often face challenges in demand management due to weather uncertainty. In many cases, they make their ordering and pricing decisions prior to the regular selling season but the vast majority of sales do not occur until after the season starts, during which unfavorable weather conditions may result in high monetary losses. To protect against such adverse financial outcomes, retailers may offer weather-linked promotions such as weather rebates and induce customers to make early purchases. Specifically, weather-conditional rebates are incentives offered in an advance promotional period to be paid to the early buyers if the weather state in the regular season is unfavorable. In the presence of seasonal weather uncertainty, risk attitudes of retailers and buyers may play an important role on the effectiveness of these promotions. In this paper, we analyze the performance of weather-conditional rebates by explicitly considering the impact of different risk behaviors. First, we study the case in which the retailer and customers are risk-neutral and show that the weather-conditional rebates are effective in increasing the retailer's profits. Under the assumption of the retailer's risk-neutrality, we conduct a simulation study to investigate the impact of customers' alternative early-purchase behaviors on the performance of the rebate program. Next, we consider a risk-averse retailer. We model the retailer's risk aversion primarily in the mean–variance framework and find that the rebate program can be designed to increase the mean profit and reduce the profit variance simultaneously. Furthermore, by combining the rebate program with a financial instrument such as binary weather options, the retailer can obtain greater benefits from weather-conditional rebates.     

Performance of weather-conditional rebates under different risk preferences

Retailers who sell seasonal products often face challenges in demand management due to weather uncertainty. In many cases, they make their ordering and pricing decisions prior to the regular selling season but the vast majority of sales do not occur until after the season starts, during which unfavorable weather conditions may result in high monetary losses. To protect against such adverse financial outcomes, retailers may offer weather-linked promotions such as weather rebates and induce customers to make early purchases. Specifically, weather-conditional rebates are incentives offered in an advance promotional period to be paid to the early buyers if the weather state in the regular season is unfavorable. In the presence of seasonal weather uncertainty, risk attitudes of retailers and buyers may play an important role on the effectiveness of these promotions. In this paper, we analyze the performance of weather-conditional rebates by explicitly considering the impact of different risk behaviors. First, we study the case in which the retailer and customers are risk-neutral and show that the weather-conditional rebates are effective in increasing the retailer's profits. Under the assumption of the retailer's risk-neutrality, we conduct a simulation study to investigate the impact of customers' alternative early-purchase behaviors on the performance of the rebate program. Next, we consider a risk-averse retailer. We model the retailer's risk aversion primarily in the mean–variance framework and find that the rebate program can be designed to increase the mean profit and reduce the profit variance simultaneously. Furthermore, by combining the rebate program with a financial instrument such as binary weather options, the retailer can obtain greater benefits from weather-conditional rebates.     

The Relative Effects of Different Frequencies of Feedback on Work Performance

Abstract

This laboratory simulation examined the relative effects of two frequencies of feedback on work performance under hourly pay and incentive pay. The study had four experimental conditions: feedback delivered after every session under hourly pay and under incentive pay, and feedback delivered after every fourth session under hourly pay and under incentive pay. Thirty-five college students were randomly assigned to one of the four conditions. Each participant attended 24 thirty-minute sessions. Participants performed a simulated work task on the computer that consisted of computer-related activities such as dragging, clicking, and typing. The dependent variable was the number of correctly completed units of work. An analysis of covariance was conducted to analyze the data using pretest scores as a covariate. Participants who received feedback every session completed significantly more work units than participants who received feedback every fourth session. In addition, an interaction between feedback frequency and pay systems was found: Feedback delivered every session was more effective than feedback delivered every fourth session under the incentive pay system, but not under the hourly pay system. The results suggest that the relative effects of feedback frequency may depend upon the extent to which feedback is correlated with differential consequences for performance.     

不确定环境下考虑风险厌恶的生产-分销网络优化模型及试验设计

考虑上游生产和下游需求不确定性，研究了由工厂、分销中心及终端市场构成的生产-分销网络优化设计问题。针对上游生产不确定性，考虑产生故障和无故障两种状态；针对下游市场需求不确定性，考虑其具有低、中和高三种状态。由于生产发生故障可能导致不合格品的产生，进一步考虑了在上游生产环节是否实施产品监测问题。综合网络运作成本和由不确定性导致的绩效风险，建立了由风险厌恶水平和悲观系数刻画的基于均值-条件风险值（CVaR）准则的生产-分销网络两阶段随机规划模型。特别地，针对由网络潜在节点数众多所导致的不确定情景规模过大的问题，采用情景缩减技术进行了情景筛选，降低了所建模型的求解难度。最后，进行了数值计算，分析了相关参数对网络运作绩效的影响，并给出了期望成本和条件风险值两个目标权衡的帕累托有效前沿。进一步，通过回归试验设计检验了决策者风险厌恶水平和悲观系数对所设计的生产-分销网络绩效的影响程度。结果表明，相对于决策者的风险厌恶程度，悲观系数对网络运作绩效的影响更大。     

Distribution of Spot and Forward Exchange Rates: Empirical Evidence and Investor Valuation of Skewness and Kurtosis*

This paper examines the statistical distribution of exchange rates for eight major currencies for the post-1973 floating rate period. The results show that spot rates, forward rates, and ex-post risk premia all exhibit significant, persistent, but varying deviations from normality, and that the risk premia in forward rates reflect investor preferences for skewness and investor aversion towards standard deviation and kurtosis. These results imply that foreign currency forecasting and hedging practices, mean-variance portfolio analysis, pricing of foreign currency options, and other research involving exchange rates should account for these significant deviations from normality.     

Abschlussprüferhaftung bei unpräzisen Sorgfaltsstandards und Ambiguitätsaversion

The Ellsberg-paradox suggests that individuals are subject to ambiguity aversion. When the standard of due care is not precisely defined, the context of auditor’s liability can be considered as an ambiguity situation. The paper shows that compared to an Expected Utility framework an ambiguity-averse auditor will exert less care with low damage payments but higher care with high damage payments. Hence, it might be advisable to put a liability cap. With strict liability there is no ambiguity situation and thus, there are no distortions from ambiguity aversion.     

考虑随机需求与收入共享的风险规避型V2G备用决策模型

在CVaR风险度量准则下,构建了考虑随机需求与收入共享的风险规避型V2G备用决策模型,推导了集中和分散两种决策下渠道成员最优决策行为的解析解,并进一步比较分析了随机需求变量服从均匀分布时的均衡策略。研究发现,集中决策下的最优V2G备用预留因子与渠道整体的风险规避度正相关,而均衡时的V2G备用销售价格与渠道整体的风险规避度的相关性不确定,且受到随机需求变量的分布函数影响;分散决策下的最优V2G备用预留因子仅与电网公司的风险规避度有关,而均衡时的V2G备用销售价格受到电网公司的风险规避度、购电价格以及电动汽车用户收入共享系数等的共同影响;电动汽车用户的最优V2G备用收入共享系数与其风险规避度正相关,而与电网公司的风险规避度负相关。数值仿真结果表明,在绝大多数情形下收入共享合约并不能完美协调此类V2G备用渠道的分散决策行为。