Asymmetric information consolidation and price discovery: Inferring bad news from insider sales

Due to the paucity of sources of negative firm‐specific information, US capital markets have more difficulty identifying and incorporating bad news into stock prices than they do good news. Even though insider selling is a potentially important proxy for undisclosed bad news, researchers have difficulty ex ante identifying information‐based sales due to an inability to separate liquidity‐motivated from information‐based insider trades. We hypothesize that when insiders in multiple firms sell shares of one firm in which they are insiders and at the same time buy shares of other insider portfolio firms, the sale is more likely to be information‐based, since the proceeds are reinvested. Conversely, when an insider sells one firm without purchasing others or sells multiple insider firms the sale is likely liquidity‐motivated. We find that insider sales identified as information‐based using this algorithm are followed by significant negative abnormal returns. Information‐based sales are also more likely to be associated with delistings, earnings declines and earnings restatements. Analysts are also more likely to revise their earnings forecasts downwards for these firms. It is thus possible to ex ante identify insider sales with information content. Our results will be of interest to investors and also to regulators designing insider trading rules.     

The Impact of Regulation Fair Disclosure on Information Asymmetry and Trading: An Intraday Analysis

This study examines the impact of Regulation Fair Disclosure (FD) on liquidity, information asymmetry, and institutional and retail investors trading behavior. Our main findings suggest three conclusions. First, Regulation FD has been effective in improving liquidity and in decreasing the level of information asymmetry. Second, retail trading activity increases dramatically after earnings announcements but there is a significant decline in institutional trading surrounding earnings announcements, particularly in the pre‐announcement period. Last, the decline in information asymmetry around earnings announcements is closely associated with a lower participation rate in the pre‐announcement period and more active trading of retail investors after earnings releases.     

SELECTION BIAS CORRECTIONS BASED ON THE MULTINOMIAL LOGIT MODEL: MONTE CARLO COMPARISONS

Abstract.  This survey presents the set of methods available in the literature on selection bias correction, when selection is specified as a multinomial logit model. It contrasts the underlying assumptions made by the different methods and shows results from a set of Monte Carlo experiments. We find that, in many cases, the approach initiated by Dubin and MacFadden (1984) as well as the semi-parametric alternative recently proposed by Dahl (2002) are to be preferred to the most commonly used Lee (1983) method. We also find that a restriction imposed in the original Dubin and MacFadden paper can be waived to achieve more robust estimators. Monte Carlo experiments also show that selection bias correction based on the multinomial logit model can provide fairly good correction for the outcome equation, even when the IIA hypothesis is violated.     

Risky allocations from a risk-neutral informed principal

We study a model of informed principal with private values where the principal is risk neutral and the agent is risk averse. We show that the principal, regardless of her type, gains by not revealing her type to the agent through the contract offer. The equilibrium allocation transfers some ex-ante risk from one type of agent to the other. Despite the increase in the principal's surplus, allocative efficiency does not necessarily improve. Received: 26 January 2004, Accepted: 5 May 2005 JEL Classification: C72, D23, D82 I would like to thank my supervisor Leonardo Felli for suggestions and Leo Ferraris for helpful discussions. All remainig errors are my own.     

创业投资机构对其支持企业IPO抑价度的影响

本文介绍了国外关于创业投资机构如何影响企业IPO抑价度的主要理论,在此基础上以我国的中小企业板上市公司为研究对象,通过比较分析发现与非创投支持企业相比创投支持企业有着更高的抑价度,进一步地研究表明该现象可用Am it et.al.[1]提出的逆向选择理论来解释。     

普惠型医疗保险发展:实践困境与优化方向

近年来,普惠型医疗保险成为多层次医疗保障体系发展的一大热点。文章首先介绍了中国普惠型医疗保险的发展现状及主要特点,其次通过对国内部分保险公司线上及线下调研,发现当前普惠型医疗保险发展面临配套法律法规有待健全、市场认可度普遍偏低、可持续经营能力不强、保险效果低水平重复、相关主体联动不足等困境。进一步分析美国、英国、德国、新加坡相关经验,提出具体的优化路径:以优化顶层设计为立足点,提高保险规制水平;以强化市场环境建设为切入点,提升市场认可度;以优化运行模式为突破点,激发保险生命力;以设计差异化产品为关键点,强化保险增补性;以建立联通机制为动力点,提高相关主体协同度。     

Regulating an Externality-Generating Utility Environmental Taxes Under Limited Information

Global warming is currently an important item on most nationalenvironmental agendas. In many countries, coal-fired electricity generatingstations represent an important source of greenhouse gases. We examinehow regulations to curb emissions affect public utility pricing regulationwhen regulators act non-cooperatively. We show that, when there is limitedinformation on fixed abatement costs, an environmental regulator prefersan emission tax over an output tax or a lump sum environmental tax. Thepublic utility regulator prefers the lump sum tax regime.     

逆向选择条件下技术许可中非排他性价格契约研究

通过经典的委托代理理论的应用,文章揭示了一类逆向选择条件下的技术许可中非排他性价格契约理论的内在机理。文章认为,通过针对差的类型的技术使用者的包含可变费用的契约和对好的类型的技术使用者的纯固定费用的契约,可以达到有效的排他性技术许可的目的;但为了有效的激励,技术所有者事前要对好的类型的技术使用者转移一定的信息租。     

风险投资家的最优激励契约模型研究--一种基于逆向选择和道德风险条件下的博弈模型分析

为减少风险投资融资中风险投资家的逆向选择和道德风险,风险投资者必须设立一套有效的激励机制来让风险投资家选择,从而根据风险投资家选择的结果来甄别其真实能力类型,同时又能激励其努力工作。文章建立了风险投资家能力类型和努力都是不可观测条件下的最优激励契约模型,并根据显示原理,利用最优控制理论求出了最优解进而进行了分析。得出的结论是:最优激励契约能使高能力风险投资家乐于选择具有高强度激励、低固定收入和风险小的项目,同时又能激励其签约后更加努力工作。     

利率市场化中的风险转移与商业银行风险规避

利率市场化通过对利率管制下扭曲利率的校正 ,实现了资源的有效配置 ,促进了经济增长。然而利率市场化以后 ,基准利率的确定、利率的波动趋势以及外资金融机构的进入 ,将使商业银行面临风险转嫁的可能。商业银行必须适时建立起完善的风险防范和风险管理制度。