Short-sale constraints and informational efficiency to private information: A natural experiment

Exploiting a regulatory change in short-sale constraints (Regulation SHO) as a natural experiment, this paper examines the effect of short-sale constraints on informational efficiency of stock prices to private information. I find that short-sellers act as informed traders prior to forthcoming analyst news and trade on negative private information. When short-sale constraints are relaxed for pilot stocks (treatment group), both trading volume and stock price sensitivity increase prior to the analyst announcement for bad news but not for good news, relative to that of nonpilot stocks (control group). The findings are consistent with the Diamond and Verrecchia model that predicts that short-selling increases the speed of adjustment of stock prices to private negative information. In the cross-section, the effect of Reg SHO is stronger in stocks of firms with weak and uncertain information environments (i.e., small firms and firms with high analyst forecast dispersion).     

Drivers of research impact: evidence from the top three finance journals

We study the characteristics of all published papers in the top three finance journals (JF, JFE and RFS), and how these paper characteristics affect the number of citations in Google Scholar and the Web of Science database. First, we find the characteristics in the universalist perspective remain constant while the characteristics in the constructivist and presentation perspectives increase over time. Second, some characteristics are significantly different between the high-impact and the low-impact papers. Third, paper quality, research method, journal placement and paper age are the most important drivers. Last, different drivers play different roles in different journals.     

How have US banks adopted the Financial Accounting Standards Board's Level 3 fair value disclosure rules?

We examine how banks have complied with the Financial Accounting Standards Board's disclosure rules on Level 3 recurring fair value measurements. We document widespread noncompliance with the basic disclosure requirements. We also find that the noncompliant banks are smaller in size and are associated with lower audit quality, lower institutional ownership and less effective internal controls. Our results should be of use to regulators, auditors and audit committees in the United States, Australia and other countries for assessing the likelihood of noncompliance with fair value disclosure rules and improving the quality of fair value disclosures provided to investors.     

Strategic insider trading around earnings announcements in Australia

This paper tests, within the Australian setting, whether directors strategically time trades in their own firms, around earnings announcements, in the context of impediments to trading in the immediately preceding period. I show that both signed and unsigned trade activity are insignificantly different from zero in the preceding period, and significantly negative and positive after the event. Further, directors in Australia significantly sell following positive earnings news, and buy after negative news, providing evidence of ‘indirect’ trading. Directors’ trades in the longer-term pre-announcement period are also negatively related to the news content sentiment, contrary to expectation. Finally, I find evidence of positive autocorrelation between directors’ trades over the longer-term past, and those executed after earnings announcements, which, in the absence of the ‘short-swing’ rule in Australia, casts doubt over short-term strategic insider trading, more generally.     

Market response to syndicated loan announcements from high-profile failed and acquiring banks during the global financial crisis

Previous studies that have examined the impact of the 2008 financial crisis on syndicated loans have ignored potential differences between lending banks by explicitly or implicitly aggregating all lenders together and focusing on borrower characteristics. One must jointly consider both borrower and lender to fully understand the complex role of the syndicate during this period. We consider the identity of the lender, with a focus on five major US banks that failed and their five corresponding acquirers. Our results highlight the distinct roles of investment and commercial banks and facilitate an understanding of relationship and transactional-based lending.     

长三角一体化背景下,“金融+科技”政策研究及产业培育路径分析

以长三角一体化发展为契机,区域内各个城市均在积极推进区域金融中心城市建设,着力打造金融聚集区、金融商务区试点,提升金融资源的集聚能力,完善金融服务功能和创新能力,形成特色鲜明、功能互补的金融产业集群。2019年8月,中共合肥市委、合肥市人民政府正式印发了《合肥市推动长三角地区更高质量一体化发展重点工作推进方案》,其中明文提到要"加快金融一体化",依托滨湖金融小镇等一批金融产业项目,积极引进长三角银行、保险、基金、期货、证券公司等金融机构在合肥设立区域分中心,为基础设施建设、科技创新升级、实体经济发展提供支持。立足合肥的科创及人才优势,安徽省级特色小镇--合肥滨湖金融小镇从设立之初,就确立了"金融+科技"的特色产业定位,本文通过案例分析及共词分析研究,梳理出滨湖金融小镇应重点推进"确立人才优先的产业集聚核心逻辑""实现科创中心与金融中心良性互动""释放金融基础设施项目,助推金融科技落地""监管科技与金融科技齐头并进""构建产业生态圈与金融品牌"等五大特色产业培育路径。     

自治、博弈与激励:我国农村人居环境污染治理的制度安排

基于中央政府、地方政府及农民的互动视角,采用博弈分析方法,系统考察了我国农村人居环境污染的逻辑机制。研究发现:我国农村人居环境污染的根源在于规制失灵;农村人居环境公共资源的“公地悲剧”不是必然现象,可以在农民之间建立一种自实施的自治机制,避免导致“公地悲剧”;由于利益目标的差异,中央政府与地方政府之间的激励问题、地方政府与农户之间的博弈行为,导致了农村人居环境规制失灵。研究启示是,制度的建立健全是农村人居环境治理顺利推进的保障,更将有利于乡村振兴战略的实施以及我国农村的可持续发展。     

金融发展、环境规制与绿色全要素生产率——基于空间杜宾模型的实证分析

选择2006~2015年中国内地30个省、直辖市、自治区面板数据，运用DEA-BCC模型、熵值法测算绿色全要素生产率，采用空间杜宾模型研究金融发展和环境规制对绿色全要素生产率的空间溢出效应。研究结果表明：（1）中国省域绿色全要素生产率存在显著的空间溢出效应，即本地区绿色全要素生产率的发展会促进周边地区绿色全要素生产率；（2）单一的金融发展和环境规制对绿色全要素生产率有一定的促进作用；（3）现阶段，"金融发展-环境规制"相结合的模式抑制了绿色全要素生产率。为此，应不断深化金融体制改革，优化金融发展成效；完善环境规制体系，合理进行污染治理投资；制定适宜环境规制政策，结合考虑金融发展。     

博物馆数字化建设与金融文化传播——以东北亚金融博物馆为例

博物馆作为公共文化机构,承担着向公众提供文化服务的职责。随着科学技术(特别是信息技术)的发展,博物馆开启了数字化建设的进程。博物馆数字化建设的目的并不是要取代传统博物馆,而是对实体博物馆在某些方面进行有益的拓展和补充。伴随着数字化建设,博物馆能够更好地满足公众多样化的文化需求,提供更好的文化体验。突发事件对博物馆数字化发展形成了一种倒逼机制,凸显了博物馆数字化的重要性。为了更好地传播金融文化,实现文化育人的目标,东北亚金融博物馆将通过“顶层设计、逐步推进、研究标准、规范建设、共建共享、未雨绸缪、创新技术、增加手段”等做法,探索数字化建设之路。     

The income inequality,financial depth and economic growth nexus in China

Income inequality has increased in China despite rapid economic growth. Income inequality could impinge on future development, leading to social tension or political instability. Our study investigates the short-run and long-run relationship between three important macroeconomic indicators—income inequality, economic growth and financial depth. We utilise a two-step procedure of ARDL bounds and Granger causality for the analysis. The bounds test indicates the presence of a cointegrating relationship between income inequality, financial depth and economic growth in the long run. In the second step, we utilise the Granger causality approach. Results show a bidirectional causality between financial depth-growth and a unidirectional causality between inequality-growth in the short run. In the long run, results reveal that growth and financial depth determine Gini. Our findings provide support for the inequality-widening effect due to economic growth and higher credit provided to the private sector. We find no evidence of inequality-narrowing or income-equalising effect in the long run for the period of study. It is possible that the government's inclusive growth policies which started less than a decade ago have not taken effect for us to capture the inverted U-shape income equalising effect significantly.