Institutional investor horizon and stock price synchronicity: Do product market competition and analyst coverage matter?

This paper provides new insights into the relation between institutional investment horizon and stock price synchronicity and investigates whether this relationship depends on the intensity of product market competition and analyst coverage. Based on a sample of French listed companies, we find that long-term (short-term) institutional investors are associated with lower (higher) stock price synchronicity. The results also show that the negative effect of long-term institutional investors is more accentuated for firms in less competitive markets and with high analyst coverage. An additional analysis shows that the synchronicity reduction effect does not vary during the financial crisis. Overall, these findings suggest that unlike their short-term counterparts, long term investors reduce asymmetric information and help disseminate firm-specific information into stock prices.     

实现2035年发展目标的潜在增长率*

党的十九届五中全会提出了到2035年人均GDP达到中等发达国家水平的远景目标，因此测算和回答能否和如何如期实现该目标，对于我国实现第二个百年奋斗目标和坚持“四个自信”具有重要的意义。为此，本文根据跨越和陷入“中等收入陷阱”经济体的发展经验，对2021—2035年我国潜在增长率变化进行了测算。一是参照跨越和陷入“中等收入陷阱”经济体在我国相同发展阶段时各主要生产要素的变化，模拟设定我国未来各主要生产要素的增长率；二是通过运用附加人力资本的增长核算模型测算基准、乐观和悲观三种不同情境下未来我国经济的潜在增长率，验证我国2035年发展目标实现的可能性；三是依据主要要素对潜在增长率的贡献度，提出我国如期实现2035年发展目标的相应政策建议。     

政府投资工程总承包项目设计优化认定与收益归属研究

工程总承包模式以设计与施工的高度融合,日益在建筑业受到青睐。但由于政府投资项目中存在有关结余资金上缴国库等规定,容易导致政府投资工程总承包项目下设计优化产生的成果是进行分成或作为结余资金上缴界定不清。鉴于此,本文通过政策文件,并结合政府投资项目特点,分析政府投资工程总承包项目设计优化的情形认定以及在不同结算依据和合同计价方式下设计优化收益归属的界定,为有效激励总承包单位积极进行设计优化奠定基础。     

纳税信用评级结果披露与研发投入

以纳税信用评级披露作为一个天然外生冲击,并基于2013—2016年1214家A股上市公司的微观数据构造准自然实验,使用双重差分法系统评估纳税信用评级结果披露对上市公司研发投入的影响。结果发现:纳税信用评级结果披露显著增加了上市公司的研发投入。基于PSM-DID方法的估计结果与上述结论无明显差异。稳健性检验也表明上述结论的正确性。机制检验表明,纳税信用评级结果披露通过降低企业的融资约束,进而促进企业增加研发投入。此外,分样本回归发现纳税信用评级结果披露只能对中小型企业和民营企业的研发投入产生促进作用。     

二代涉入、制度情境与中国家族企业创新投入——基于社会情感财富理论的研究

基于社会情感财富理论,本文以2012-2016年中国A股上市家族企业为样本,采用倾向得分匹配法,对一定制度情境下二代涉入对家族企业创新投入的影响进行实证研究。研究结果表明:二代涉入会抑制家族企业的创新投入,发生二代涉入的家族企业会更重视约束型社会情感财富,而该类社会情感财富会导致家族企业对创新投入持保守态度;制度环境对二代涉入与家族企业创新投入之间的关系具有正向调节效应,从而会缓和二代涉入对家族企业创新投入的抑制作用;政治关联对二代涉入与家族企业创新投入之间的关系具有负向调节效应,从而会加剧二代涉入对家族企业创新投入的抑制作用。据此,本文建议:发生二代涉入的家族企业不能为了加强对企业的控制而排斥引入外部优良人才或外部投资者,创始人应该注重二代成员对家族企业归属感等的培养,提升二代成员对延伸型社会情感财富的保护意愿;政府和家族企业必须共同努力推进市场化改革,藉此完善家族企业赖以生存的制度环境;家族企业应当尽量避免政治寻租等行为对创新的抑制作用。     

Chinese investment in the Brazilian soybean sector: Navigating relations of private governance

This paper examines how Chinese agribusiness firms are engaging with established systems of private governance in the Brazilian soybean sector and how that engagement is variously accommodated, contested, and configured by local realities that reflect the uneven history of transnational agribusiness development across the Brazilian agro‐export region. Using qualitative data collected at three research sites that represent different historical moments in the Brazilian agro‐export region (Mato Grosso, Goiás, and Bahia), the paper argues that the social structures underlying the particular agrarian histories of these three subregions create unique contexts Chinese firms must navigate, which in turn shapes their engagement with the private agribusiness regime across space. Although the private agribusiness regime is often portrayed as a top‐down system of governance that subjugates the polity to the demands of capital, this framing neglects to understand how that system of power is contested, negotiated, and reshaped on the ground. These three cases serve to historicize the uneven penetration of Chinese firms across the Brazilian soybean sector.     

Short-termism,shareholder payouts and investment in the EU

Investor-driven 'short-termism' is said to harm EU public firms' ability to invest for the long term, prompting calls for the EU to better insulate managers from shareholder pressure. But the evidence offered—rising levels of repurchases and dividends—is incomplete and misleading: it ignores large offsetting equity issuances that move capital from investors to EU firms. We show that, over the last 30 years and the last decade, net shareholder payouts have been moderate and investment and cash balances have increased. In sum, the data provide little basis for the view that short-termism in the EU warrants corporate governance reforms.     

The effects of credit default swaps on corporate investment

ABSTRACT

This paper examines how credit default swaps (CDS) affect the corporate investment of the referenced entities. We document a significant reduction in corporate investment after CDS trading, a result that is robust to alternative model specifications and a set of endogeneity tests. Our findings of the increased firm risk and cost of capital support the costly external capital channel. The cross-sectional variations in CDS effects demonstrate that both reduced monitoring and the empty creditor problem might be the underlying forces driving the costly external capital channel. Our additional analysis implies that CDS trading is associated with an enhancement in investment efficiency for firms that are prone to overinvestment.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

险资股权投资的结构性改革研究*——基于险资投资的倒U型效应分析

保险资金作为重要的机构投资者能否发挥促进公司绩效提升的作用在已有研究和监管政策制定上都存在较大争议。本文以2005-2017年A股上市公司为研究样本，发现险资持股比例对上市公司绩效以及估值影响存在显著的倒U型曲线效应，相应机制研究表明险资持股通过显著影响两类代理成本的渠道发挥治理作用。在适度持股比例以下，险资增持能够降低被投资公司管理费用率和其他应收款占比，并提高资产周转率，从而降低两类代理成本；持股超过一定比例反而造成两类代理成本上升。险资持股比例变化对保险机构调研次数的影响则从公司治理参与角度印证了以上结论。对倒U型曲线效应的深入分析既有助于深化对机构投资者影响公司绩效的多重效应和机制的认识，同时为在金融机构层面落实金融供给侧结构性改革、增强险资服务实体经济能力提供参考。