交易所年报问询能提升上市公司盈余质量吗？——基于深交所数据的实证分析

在上市公司公告年报后,交易所会组织专业人员对年报进行审核,并针对可能的疑问向上市公司发放年报问询函,要求公司回复并公开披露。基于这一制度背景,以深交所A股上市公司为研究对象,针对2014年至2017年间年报被问询的上市公司进行研究,发现在控制其他因素后,当年度年报被交易所问询的公司,其盈余管理程度更高、盈余质量更差,表明交易所在年报审核中是有的放矢的,关注到此类盈余质量更差的公司;同时发现,国有控股公司被问询的可能性低于非国有控股公司,表明交易所在年报问询中可能存在偏倚现象;进一步检验发现在年报被问询后,公司次年的盈余管理程度依然较高,盈余质量并未得到改善,年报问询这一非处罚性监管措施在改善盈余质量方面的监管效果有限。     

基于大数据的计算机网络信息安全防护措施

大数据是基于云计算技术开发的一种集成技术,可以通过分析、计算和处理大量数据信息来实现这些数据的价值。然而,随着大数据时代的到来,现有的计算机网络面临着新的挑战,特别是网络安全问题逐渐浮现,计算机网络带来的安全隐患导致用户个人的隐私受到了威胁,所以有必要加强网络信息安全工作的部署,以尽早遏制这些安全风险,并确保计算机网络的安全运行。     

业财融合背景下的信息系统审计研究

在企业业财融合的背景下,信息系统审计环境发生了巨大的变化。论文旨在指出企业业财融合背景下信息系统审计环境变化对审计的影响,分析现代信息审计的新发展和新趋势,进而剖析审计变化对审计工作者带来的挑战,提出应付这些挑战的解决方案。期望从理论方面拓展和创新理论思想,从实践方面为当代信息系统审计提供新的思考和思路,强化审计的增值作用,也有助于企业对信息系统的风险进行有效的监管。     

中小企业会计信息失真原因及对策

随着社会的发展,会计信息对投资者、企业,甚至是整个国家经济都有着举足轻重的影响。但由于多种原因,当前我国中小企业会计信息失真现象普遍存在,严重影响了中小企业经营决策的制定和我国经济发展。为此,在对中小企业会计信息现状和会计信息失真主要表现及原因分析的基础上,提出了针对该现状的治理对策。     

How does news sentiment affect the states of Japanese stock return volatility?

This paper examines the impact of public news sentiment on the volatility states of firm-level returns on the Japanese Stock market. We firstly adopt a novel Markov Regime Switching Long Memory GARCH (MRS-LMGARCH), which is employed to estimate the latent volatility states of intraday stock return. By using the RavenPack Dow Jones News Analytics database, we fit discrete choice models to investigate the impact of news sentiment on changes of volatility states of the constituent stocks in the TOPIX Core 30 Index. Our findings suggest that news occurrence and sentiment, especially those of macro-economic news, are a key factor that significantly drives the volatility state of Japanese stock returns. This provides essential information for traders of the Japanese stock market to optimize their trading strategies and risk management plans to combat volatility.     

Carrot and stick: A role for benchmark-adjusted compensation in active fund management

Investors delegating their wealth to privately informed managers face not only an intrinsic asymmetric information problem but also a potential misalignment in risk preferences. In this setting, we show that by tying fees symmetrically to the appropriate benchmark investors can tilt a fund portfolio toward their optimal risk exposure and realize nearly all the value of managers’ information. They attain these benefits despite an inherent inefficiency in the choice of the benchmark, and at no extra cost of compensating managers for exposure to relative-performance risk. Under certain conditions, benchmark-adjusted performance fees are necessary to prevent passive alternatives from dominating active management. Our results shed light on a recent debate on the appropriate fee structure of active funds in contexts of high competition from passive funds.     

Pricing, learning, and strategic behavior in a single-sale model

Summary. We analyze an infinite horizon model where a seller who owns an indivisible unit of a good for sale has incomplete information about the state of the world that determines not only the demand she faces but also her own valuation for the good. Over time, she randomly meets potential buyers who may have incentives to manipulate her learning process strategically. We show that i) the seller's incentives to post a high price and to experiment are not necessarily monotonic in the information conveyed by a buyer's rejection; and ii) as the discount factors tend to one, there are equilibria where the seller always ends up selling the good at an ex-post individually rational price. Received: January 6, 1999; revised version: July 15, 2000     

Herd Behaviour in Adoption of Network Technologies

In technology adoption, herd behaviour can lead to a suboptimal outcome as shown, among others, by Choi (1997). However, empirics find little support for the idea that a less efficient technology can conquer the market and lock out a more efficient one. Accordingly, we improve and generalize Choi's results, by introducing an additional source of uncertainty: the economic environment. We investigate how the economic environment can affect herding and consequently the efficiency of the technology choice. The result is a smaller adoption bias. In the limit, firms may optimally experiment with the new technology that turns out to be social welfare improving.     

Subjective recursive expected utility

We axiomatize a subjective version of the recursive expected utility model. This development extends the seminal results of Kreps and Porteus (Econometrica 46:185–200 (1978)) to a subjective framework and provides foundations that are easy to relate to axioms familiar from timeless models of decision making under uncertainty. Our analysis also clarifies what is needed in going from a represention that applies within a single filtration to an across filtration representation.Part of this research was conducted when Ozdenoren visited MEDS in Fall 2003. We thank Tapas Kundu, Costis Skiadas, Jean-Marc Tallon and Tan Wang for helpful discussions and also thank audiences at Koc University, Northwestern University, the CERMSEM conference “ Mathematical Models in Decision Theory” at Universite Paris I, and the FUR XI conference on foundations and applications of utility, risk and decision theory     

Conditions for Asymmetric Information Solutions when Alliances Provide Acquisition Options and Due Diligence

One main problem with both acquisitions and alliances is separating the attractive partners from the rest. An additional problem with alliances is getting each partner to provide its best assets and efforts. One solution offered for the acquisition adverse selection problem is due diligence through a pre-acquisition alliance; however, none of the papers recommending such an approach analyze the alliance adverse selection and moral hazard problems. This paper presents the first formal model of joint venturing as acquisition due diligence, detailing how the joint solution works and under what conditions.revised version received October 20, 2003