Ambiguity,Risk, and Asset Returns in Continuous Time

Models of utility in stochastic continuous–time settings typically assume that beliefs are represented by a probability measure, hence ruling out a priori any concern with ambiguity. This paper formulates a continuous–time intertemporal version of multiple–priors utility, where aversion to ambiguity is admissible. In a representative agent asset market setting, the model delivers restrictions on excess returns that admit interpretations reflecting a premium for risk and a separate premium for ambiguity.     

基于制造商O2O模式选择的O2O供应链定价与网上交货期决策

以制造商主导的O2O供应链为背景,考虑市场需求受价格和网上交货期的影响,针对网上直销和网上代销两种O2O模式分别构建O2O供应链定价与网上交货期决策模型,研究渠道成员的最优策略并分析其性质。再通过数值算例分析了价格敏感型消费者情境和网上交货期敏感型消费者情境下消费者网上销售渠道偏好程度和佣金率对O2O供应链最优策略和利润的影响,并探讨了制造商O2O模式的选择问题。发现：消费者网上销售渠道偏好程度越高,越有利于制造商和O2O平台,但不利于线下门店;佣金率越高,越有利于线下门店和O2O平台,却不利于制造商。当消费者更关注网上交货期时,缩短网上交货期并不利于制造商;而当消费者更关注价格时,延长网上交货期是有利的。制造商的O2O模式选择主要受佣金率的影响,只有当佣金率处于较低范围时网上代销O2O模式是制造商的较优选择。     

基于银行监管资本的存款保险定价研究

结合存款保险定价的期权定价法和期望损失定价法,提出了利用银行破产时被保险存款的期望损失来定价存款保险的新思路,该方法的特点是存款保险定价不仅仅与银行资产的风险和收益有关,而且与银行资本持有状况和存款的参保比率有密切关系.通过理论推导得到了存款保险定价公式.运用极大似然估计方法与测算原理,实证研究了其敏感性、可行性与合理...     

GMM with Weak Identification

This paper develops asymptotic distribution theory for GMM estimators and test statistics when some or all of the parameters are weakly identified. General results are obtained and are specialized to two important cases: linear instrumental variables regression and Euler equations estimation of the CCAPM. Numerical results for the CCAPM demonstrate that weak‐identification asymptotics explains the breakdown of conventional GMM procedures documented in previous Monte Carlo studies. Confidence sets immune to weak identification are proposed. We use these results to inform an empirical investigation of various CCAPM specifications; the substantive conclusions reached differ from those obtained using conventional methods.     

应用混合神经网络和遗传算法的期权价格预测模型

隐含波动率是指在市场中观察的期权价格所蕴涵的波动率.提出了一种加权的隐含波动率作为混合神经网络的输入变量,建立了混合神经网络和遗传算法相结合的期权价格预测模型,通过遗传算法来优化神经网络的结构和获得隐含波动率的权重.在对香港金融衍生品市场的实证中表明,本文模型在预测结果上要优于传统的Black-Scholes模型.     

Product and service innovation with customer recognition

Product and service innovation is important for brands to succeed in a competitive marketplace. As information technology advances, customer recognition becomes a growing industry trend; that is, brands track customers' purchase history, recognize and price discriminate between repeat and new customers.The trend of customer recognition has changed the nature and intensity of competition between brands. In this article, we examine how customer recognition and the associated changes in competition affect brands' incentives to invest in product and service innovation. We find that when brands have similar equity, customer recognition increases brands' incentives to invest in product and service innovation. However, when brands have sufficiently different equity, customer recognition leads the stronger brand to invest more and the weaker brand to invest less in product and service innovation. In addition, extant literature suggests that customer recognition reduces brand profits. In contrast, we find that customer recognition can increase the weaker brand's profit but decreases it more for the stronger brand. Thus, collecting customers' purchase history data for customer recognition can be beneficial for weaker brands but detrimental for stronger brands.     

基于价格调整的长寿风险自然对冲策略

在长寿风险对冲框架下,通过引入外生的产品价格,构建了基于价格调整的自然对冲模型。首先运用最优化理论得到了模型最优产品配比的解析式,然后在实际的销售配比与模型的最优配比相等的约束下,推导出了寿险产品和年金产品的最优定价。该定价能够使得模型的最优配比真正被实现,即销售的配比刚好是使产品组合长寿风险最小化的最优配比。最后通过数值算例,阐述了基于价格调整的自然对冲策略的效果,并进一步分析了利率、承保年龄、性别等因素对自然对冲策略的影响。     

第三方电子交易平台运营初期的定价策略——基于在线个人借贷市场的实证研究

实践表明,作为典型的“双边市场”,第三方电子交易平台在运营初期的定价策略对平台的生存与发展起着非常重要的作用。为了弥补当前实证研究的不足,文章以Armstrong的垄断模型为基础,采用加权两阶段最小二乘联立方程模型分析了Prosper.com在线个人借贷平台在2009年7月13日至2011年3月7日期间用户网络外部性特征和平台定价策略对借贷双方效用及平台收入的影响。结果显示：平台运营初期,用户之间存在显著正的交叉网络外部性和自网络外部性;用户价格弹性会随平台定价策略和平台的发展而变化;平台收入与用户价格弹性之间呈现负的规律性变化关系。研究结果在一定程度上反应了第三方电子交易平台运营初期特征的同时也提出了当前理论研究的不足,兼具实践和理论价值。     

跳过程下的公司证券定价和最优资本结构

由于几何布朗运动不能反映复杂经济背景下的资产价值动态,本文以双指数跳扩散过程作为资产价值过程来研究公司证券定价和最优资本结构问题。本文主要结果是：运用均衡定价的方法给出了公司证券的定价并获得了公司资本价值的解析解。通过比较静态分析揭示了跳风险对企业资本价值、最优资本结构、收益率差价等都具有显著的影响。与几何布朗运动相比,跳风险降低了公司价值和债券价值以及公司最优杠杆率,同时增加了债券的收益率差价和股权价值。     

Conditional expectation determination based on the J-process using Malliavin calculus applied to pricing American options

The aim of our paper is to elaborate a theoretical methodology based on the Malliavin calculus to calculate the following conditional expectation (P_t(X_t)|(X_s)) for s≤t where the only state variable follows a J-process [Jerbi Y. A new closed-form solution as an extension of the Black—Scholes formula allowing smile curve plotting. Quant Finance. 2013; Online First Article. doi:10.1080/14697688.2012.762458]. The theoretical results are applied to the American option pricing, consisting of an extension of the work of Bally et al. [Pricing and hedging American options by Monte Carlo methods using a Malliavin calculus approach. Monte Carlo Methods Appl. 2005;11-2:97–133], as well as the J-process (with additional parameters λ and θ) is an extension of the Wiener process. The introduction of the aforesaid parameters induces skewness and kurtosis effects, i.e. smile curve allowing to fit with the reality of financial market. In his work Jerbi [Jerbi Y. A new closed-form solution as an extension of the Black–-Scholes formula allowing smile curve plotting. Quant Finance. 2013; Online First Article. doi:10.1080/14697688.2012.762458] showed that the use of the J-process is equivalent to the use of a stochastic volatility model based on the Wiener process as in Heston's. The present work consists on extending this result to the American options. We studied the influence of the parameters λ and θ on the American option price and we find empirical results fitting with the options theory.