资本市场开放与公司内部控制质量——基于“沪港通”的证据

以中国“沪港通”交易制度的实施为政策背景,采用多时点双重差分模型,考察资本市场开放对标的公司内部控制质量的影响,研究发现,“沪港通”交易制度的实施显著提升了公司的内部控制质量,在控制其他因素并经过安慰剂检验、去除A+H股影响、改变周期范围等稳健性检验后,结论依然成立。机制检验表明,“沪港通”主要通过内部和外部两种机制对公司内部控制质量产生影响,其中,内部机制是对股价波动性风险控制,外部机制是审计师声誉风险与政府部门监管。     

数字时代企业环境审计模式创新——基于环保政策响应机制的研究

企业规避环保责任的机会主义行为导致政府环保政策成效不显著。基于利益相关者理论构建环保政策利益相关者模型,并从环保权力、责任和信息三个角度分析企业的环保政策响应机制。研究发现：由于消费者缺位以及信息不对称等因素的影响,企业的环保政策响应水平较弱。政府应将环保政策施加于消费者,通过消费者来约束企业的行为;审计主体应当转变现有的审计模式,运用数字技术,与消费者合作共同完成审计监督的工作。基于此,提出一种基于消费者需求引导的综合环保政策及新型企业环境审计模式,建议政府应重视数字技术对产业的改造升级,充分考虑消费者的因素来制定环保政策并加大对企业污染数据实时监控的普及。     

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。     

新型农业项目绩效审计机理及实施策略

农业是我国政府关注的重点领域。在农业现代化建设、供给侧改革和乡村振兴等多个契机的推动下,我国以农业创新、农业增效为主题,以农产品电子商务、农产品加工、农业资源循环利用等为主要形式的新型农业项目开始崭露头角。对新型农业项目绩效审计机理及实施策略进行研究,是审计职能发展、政府预算管理和项目自身管理的要求,有助于新型农业项目合理使用资金,促进行业健康发展。     

太行山文化视角下文化创意产业扶贫路径与长效机制研究

论文在太行山文化视角下,基于该地区特色物质文化、乡土村落文化、非遗文化、红色文化等资源,一方面从发挥特色资源优势、构建区域创新体系、升级传播平台等角度拓展太行山地区文化创意产业扶贫的创新路径,另一方面构建出以“宏观引导—中观支持—微观参与”为主要内容的太行山地区文化创意产业扶贫长效保障机制。从文化层面助力“防贫”,使乡村振兴取得进一步进展。     

美联储前瞻性指引对新兴市场国家的溢出效应研究

基于前瞻性指引溢出效应的相关理论,选取17个代表性新兴市场国家为研究对象,运用面板向量自回归(PVAR)模型实证分析美联储前瞻性指引对新兴市场国家的溢出效应.结果表明:美联储前瞻性指引在短期内对新兴市场国家金融市场具有一定的冲击,在长期内对新兴市场国家经济增长存在滞后的正向作用.新兴市场国家应采取应对策略,做好风险识别和预警,加强预期管理,增强货币政策协调和合作,有效防范和化解外溢影响.     

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.     

Distributional assumptions and a test of the dual labor market hypothesis

Recent application of the switching regression model to allocate workers into the primary and secondary labor markets is considered to be the best solution to the classification problem of the empirical testing of the dual labor market theory. In such models, normality of the error terms is assumed. This paper adopts the switching regression model to test the dual labor market theory by assuming different distributions of the error terms. The test results strongly support the dual labor market theory regardless of the assumption one makes about the error terms. However, the results indicate that different distribution can lead to different percentage distributions of workers in the two segments. In particular, the normal distribution generates more workers in the primary segment than the non-normal distributions. Therefore, care must be taken not to generalize the type of industries or occupations that fall under the primary and secondary segments. First version received: October 2000/Final version received: March 2002 RID="*" ID="*"  I would like to thank Kevin Lang, Robert Marshall, and two anonymous referees for their helpful comments. I am grateful for comments received from the session participants of the Western Economic Association International Conference, San Francisco, CA, June 28–July 2, 1996, and the Midwest Economic Association Conference, Kansas City, 1997. I thank George Bonney, the Chief Statistician of Fox Chase Cancer Center, Philadelphia for his comments. Any remaining errors are my responsibility. I gratefully acknowledge financial support from Penn State Research and Development Grant, 1995.     

Asymmetric ACD models: Introducing price information in ACD models

This paper proposes an asymmetric autoregressive conditional duration (ACD) model, which extends the ACD model of Engle and Russell (1998). The asymmetry consists of letting the duration process depend on the state of the price process. If the price has increased, the parameters of the ACD model can differ from what they are if the price has decreased. The model is applied to the bid-ask quotes of two stocks traded on the NYSE and the evidence in favour of asymmetry is strong. Information effects (Easley and O'Hara 1992) are also empirically relevant. As the model is a transition model for the price process, it delivers `market forecasts' of where prices are heading. A trading strategy based on the model is implemented using tick-by-tick data.While remaining responsible for any error in this paper, the authors would like to thank R. Anderson, G. Le Fol, C. Gouriéroux, J. Jasiak, W. Pohlmeier, A. Roell, O. Scaillet, S. Wei and three anonymous referees for useful remarks and suggestions on previous versions. The authors would also like to thank A. Ruttiens from KBC-CBC for useful discussions on practical issues related to trading. Support of the European Commission Human Capital and Mobility Program through the network `Econometric inference using simulation methods' is gratefully acknowledged. This paper presents research results of the Belgian Program on Interuniversity Poles of Attraction initiated by the Belgian State, Prime Minister's Office, Science Policy Programming. The scientific responsibility is assumed by the authors.