Daily Stock Trading by Investor Type and Information Asymmetry: Evidence from the Korean Market

We examine the influence of trading by heterogeneous investors on information asymmetry in the Korean stock market, which includes domestic and foreign institutional investors and individual investors. In particular, we examine the relationship between the daily trading volume and the level of information asymmetry reflected in the stock price. The results reveal that high-volume daily trading by domestic institutional and individual investors increases the degree of information asymmetry in the short term, but is more evident for individual investors. Foreign institutional investors tend to mitigate the information asymmetry. Finally, our findings are robust to an alternative measure of investor trading.     

On the efficiency of racetrack betting market: a new test for the favourite-longshot bias

A number of empirical studies on the efficiency of racetrack betting market have shown the ‘favourite-longshot bias,’ which means longshots are overbet while favourites are underbet. Asian markets such as Hong Kong and Japan, however, have produced some contradictory empirical evidence to the bias. One critical element in the efficiency test procedure is how to assess the unobservable objective winning probability of a horse in a race. This paper proposes a new test framework with a more general evaluation of the objective probability of winning than the traditional method. Unlike the traditional method, our model allows the heterogeneity of the horses and the races. We apply the new empirical method to test whether the favourite-longshot bias is present in racetrack betting market of Korea. We found that the favourite-longshot bias exists in the racetrack market of Korea and the result distinguishes Korean racetrack market from other Asian markets.     

Corporate Tax Aggressiveness and Insider Trading

We examine the association between corporate tax aggressiveness and the profitability of insider trading under the assumption that insider trading profits reflect managerial opportunism. We document that insider purchase profitability, but not sales profitability, is significantly higher on average in more tax aggressive firms. We also find that the positive association between tax aggressiveness and insider purchase profitability is attenuated for firms with more effective monitoring and is accentuated for firms with a more opaque information environment. In addition, we provide empirical evidence that tax aggressiveness is significantly associated with greater insider sales volume in the fiscal year prior to a stock price crash. Finally, we find that the association between tax aggressiveness and insider purchase profitability weakens after the introduction of FIN 48, consistent with the increased transparency of tax positions under the new disclosure requirement reducing insiders' information advantage and hence their ability to profit from insider trading. To the extent that insider trading profits reflect managerial opportunism, our results are consistent with managers exploiting the opacity arising from tax aggressive activities to extract rent from shareholders, particularly those shareholders who sold their shares to the managers. Our findings are particularly important in light of the number of studies relying on the agency view of tax avoidance to develop arguments or to draw inferences.     

中国上市公司资本结构动态调整机制研究

本文从动态角度对中国上市公司资本结构的调整行为进行了研究.结果表明,我国上市公司存在最优资本结构,整体上表现为负债不足,由于调整成本的存在使得公司在偏离最优水平后只能进行部分调整.调整速度会受到公司规模、成长性和偏离最优水平的程度等因素影响,而且会因时间、行业和公司规模的不同而存在显著差异.     

Motivations for Loan Herding by Chinese Banks and Its Impact on Bank Performance

This study uses a dynamic herding model that considers intertemporal and cross‐sectional correlation to confirm that loan herding occurs among joint‐stock commercial banks (JSCBs) and city commercial banks (CCBs). We clarify the motivations for bank loan herding. We find that loan herding by both JSCBs and CCBs results more from following the behavior of other same‐type banks than different‐type banks because of characteristic herding or reputational concerns. Loan herding by JSCBs is motivated by investigative herding, whereas loan herding by CCBs results from informational cascades. Moreover, loan herding has a significantly harmful impact on the operating performance of CCBs but not JSCBs, which may be explained by the irrational behavior of CCBs. Our results will help Chinese bank supervisors develop appropriate policies for handling loan herding.     

Development of a process mining system for supporting knowledge discovery in a supply chain network

In today's competitive environment, business organizations are forced to maintain their competitive advantage by their ability to cut costs, increase revenue and uncover hidden issues. In order to enhance the visibility and transparency of value added information in a supply chain network, a process mining system is proposed for discovering a set of fuzzy association rules based on the daily captured logistics operation data, within the network. The proposed methodology provides all levels of employees with the ability to enhance their knowledge and understanding of the current business environment. Once interesting association rules have been extracted, organizations can identify the root-causes of quality problems in a supply chain and improve performance by fine-tuning the configuration of process parameters in specified processes. The application of the proposed methodology in a case company has also been studied. The prototype system has been developed and evaluated after performing a spatial analysis. The results obtained indicate that the system is capable of extracting high-quality and actionable information in the case company.     

Current Trends within Social and Environmental Accounting Research: A Literature Review

Given the recent rise in the evolution and maturity of social and environmental accounting (SEA) research and scholarship, we provide a literature review of the current trends within this area in a concise and harmonized manner for a wider audience in academia and practice. More specifically, we visit the current state of scholarly work, which can be useful in facilitating future research questions and further development of SEA research associated with relations between corporate social performance (CSP), corporate social disclosure (CSD), and corporate financial performance (CFP). Our goal is to offer insights to the current state of SEA research that is informative to both novice and expert SEA scholars, with the hope to promote and stimulate further advancement of research in this particular area. Drawing knowledge from relevant disciplines such as accounting, management, finance, and economics, this article visits the current trends within SEA research in terms of definition, research topics, theoretical viewpoints, methodological approaches, as well as suggestions for future research.     

Impact of corporate social responsibility on brand trust and brand loyalty: Case of Uber

The purpose of this research is to investigate the structural relationship between Uber corporate social responsibility (CSR), brand trust, and brand loyalty. Stakeholder theory is the theoretical foundation of the study. The CSR subdimensions of eco-friendliness, quarantine, user privacy, user safety, and driver well-being are used. Amazon Mechanical Turk was employed for data collection. The number of observations is 405. A structural equation model was implemented to test the research hypotheses. This study demonstrated the accountability of stakeholder theory for Uber brand management by showing a significant link between quarantine, user privacy, user safety, driver well-being, brand trust, and brand loyalty. This study contributes to the literature by validating the explanatory power of stakeholder theory in the case of Uber brand management.