Charisma as signal: An evolutionary perspective on charismatic leadership

We present an evolutionary perspective on charismatic leadership, arguing that charisma has evolved as a credible signal of a person's ability to solve a coordination challenge requiring urgent collective action from group members. We suggest that a better understanding of charisma's evolutionary and biological origins and functions can provide a broader perspective in which to situate current debates surrounding the utility and validity of charismatic leadership as a construct in the social sciences. We outline several key challenges which have shaped our followership psychology, and argue that the benefits of successful coordination in ancestral environments has led to the evolution of context-dependent psychological mechanisms which are especially attuned to cues and signals of outstanding personal leadership qualities. We elaborate on several implications of this signaling hypothesis of charismatic leadership, including opportunities for deception (dishonest signaling) and for large-scale coordination.     

社交网络、投资者关注与股价同步性

随着以微博、微信为代表的社交网络信息平台在中国的崛起,形成了新媒体时代下信息资讯生成与扩散的完整传播链条,深刻地影响着金融市场参与主体的学习认知习惯、投资决策理念、交易行为模式,最终影响不同金融资产的价格波动规律． 本文在新媒体时代情景下,以社交网络信息披露与传播平台为切入点,基于信息关注度、信赖度、更新频率等三层维度,构建社交网络微博信息质量指标体系,研究社交网络信息质量与股价同步性的内在关联关系． 研究表明: 微博信息质量与股价同步性有着显著的高度负向线性关联性,并且呈现出非线性 U 型关系． 即随着社交网络信息质量水平的提升,股价同步性逐渐降低到达最小值,而后又逐渐提高． 研究结论为证明上市公司社交网络微博平台对股价同步性有较强影响力,提供了中国金融市场的证据．     

First‐Price Auctions With General Information Structures: Implications for Bidding and Revenue

We explore the impact of private information in sealed‐bid first‐price auctions. For a given symmetric and arbitrarily correlated prior distribution over values, we characterize the lowest winning‐bid distribution that can arise across all information structures and equilibria. The information and equilibrium attaining this minimum leave bidders indifferent between their equilibrium bids and all higher bids. Our results provide lower bounds for bids and revenue with asymmetric distributions over values. We also report further characterizations of revenue and bidder surplus including upper bounds on revenue. Our work has implications for the identification of value distributions from data on winning bids and for the informationally robust comparison of alternative auction mechanisms.     

基于小波分析的石油价格长期趋势预测方法及其实证研究

本文将小波方法引入到油价长期趋势的预测中,利用小波多尺度分析的功能,提出了一种可以较为准确地根据油价时序列预测其未来长期走势的方法。这种方法的优点在于可以准确地提取油价的长期趋势,从总体上把握油价的非线性波动特征,从而能够很好地利用油价时间序列的历史数据,开展对未来一段时期内的多步预测。实证研究中,对Brent油价开展了时间跨度为1年的趋势预测,并将预测结果与ARIMA、GARCH、Holtwinters等方法得到的结果进行了比较,表明了基于小波分析的长期趋势预测法的预测能力是其他方法所不能比拟的,反映了本文所建立的石油价格长期趋势预测方法的有效性。     

激励企业技术创新的两种管制方式

本文旨在探讨激励垄断企业技术创新的两种管制方式——价格上限管制和最优管制机制。首先分别建立了它们的管制模型,得出了激励企业技术创新的具体的管制机制;进一步地,比较了在这两种管制方式下企业创新的内在激励,以及创新费用的增加对消费者剩余的影响;并分析了当激励企业创新问题引入时,两种管制方式相对优势的改变。     

零售市场价格策略的演化博弈分析

基于一个三阶段Hotelling博弈模型:位于[0,1]线性城市两端的零售A和B第一阶段同时选择价格策略变量,第二阶段确定价格的大小,第三阶段由消费者选择零售商。应用演化博弈论进行研究,分析了零售市场价格策略的演化稳定性。     

CRM中客户忠诚对价格敏感性的影响研究

综合考虑了CRM中的客户竞争、客户保持和转移成本因素,建立了基于客户忠诚度的客户关系保持的数学模型。然后以客户保持模型为基础,从理论上分析了不同忠诚度水平的客户的价格敏感性的不同及其原因。最后以客户价格敏感性为基础,得到了可供企业CRM系统借鉴的客户保持的定量策略。     

Managing Demand Risk in Tactical Supply Chain Planning for a Global Consumer Electronics Company

We consider the problem of managing demand risk in tactical supply chain planning for a particular global consumer electronics company. The company follows a deterministic replenishment‐and‐planning process despite considerable demand uncertainty. As a possible way to formally address uncertainty, we provide two risk measures, “demand‐at‐risk” (DaR) and “inventory‐at‐risk” (IaR) and two linear programming models to help manage demand uncertainty. The first model is deterministic and can be used to allocate the replenishment schedule from the plants among the customers as per the existing process. The other model is stochastic and can be used to determine the “ideal” replenishment request from the plants under demand uncertainty. The gap between the output of the two models as regards requested replenishment and the values of the risk measures can be used by the company to reallocate capacity among different products and to thus manage demand/inventory risk.     

基于可变强度跳跃-GARCH模型的资产价格跳跃行为分析——以中国上市公司股票市场数据为例

近年来,美国金融危机、欧债危机、地震等突发事件不断冲击着我国金融市场,各类资产价格频繁出现大幅跳动,收益风险短期内急剧扩大。鉴于此,本文构建了门限效应下状态变量依赖自回归强度跳跃-GARCH模型（简称TSD-ARJI-GARCH模型）来探讨股票资产价格随时间平滑波动和大幅度跳跃的双重特征。该模型扩展了现有可变强度跳跃-GARCH模型,克服了片面强调内生或外生因素的局限性,既允许跳跃强度受单个资产异质因素的内生驱动,以刻画跳跃变化的时变性及集聚性,也考虑了外部状态变量影响的门限效应。通过对不同类型中国上市公司股票市场数据的实证分析,验证了该模型对各类上市公司股票资产价格跳跃特征都具有较好的辨别和预测能力,可为动态监管金融资产的跳跃风险提供理论依据。     

沪深300股指期货上市对现货市场连续波动和跳跃波动的影响

本文采用跳-扩散随机波动率模型研究沪深300股指期货上市对现货市场波动的影响。通过MCMC方法估计模型参数,对股指期货上市前后指数连续波动和跳跃特征进行比较分析,并与股指期货各指标作比较。研究发现,股指期货的上市确实起到了稳定现货市场的作用,上市短期内现货市场波动增大,随着时间增加现货市场波动逐渐降低,但是这一稳定效果主要体现在指数波动率的连续部分。股指期货上市后,指数连续波动向均值回归速度加快,并呈现出逐渐降低的趋势;“杠杆效应”在经历短暂的消失后逐渐显现;指数跳跃波动在总波动中所占比重较高,但随着交易时间增加,指数平均跳跃次数和跳跃波动所占比重逐渐降低。