Project description:Market liquidity ensures the marketability of security and is an indispensable feature of stock markets. Previous studies have emphasized the role of stock market liquidity in empirical finance. However, they have inadequately explored its multidimensional nature. This study eliminates the ambiguities related to market liquidity by precisely measuring it by using popular and proven liquidity measures. As such, the present study aims to evaluate market liquidity in terms of depth, breadth, tightness, and immediacy in the Indian equity market and also identifies crucial interdependencies between liquidity dimensions. The study selects 500 stocks constituting the NIFTY 500 index of the National Stock Exchange, India, as of 26th May 2019. The data on trading volume, bid price, ask price, the number of shares outstanding, closing share prices were retrieved for the period from 1st April 2009 to 31st March 2019. The study employs Share Turnover, Amihud Illiquidity Ratio, Relative Quoted Spreads, and Coefficient of Elasticity of Trading for liquidity measurement. The Vector Auto-Regressive (VAR) model is used to establish the simultaneous relationships between liquidity dimensions. The analysis is conducted at the aggregate market level as well as across turnover based stock groups divided based on their rankings in terms of stock specific share turnover. The empirical results evidenced the presence of consistent depth, strong breadth, and immediacy but lower tightness in the Indian equity market. The market depth and tightness appear to be relevant in determining dimensional interdependencies. Also, less frequently traded stocks exhibit higher illiquidity in the wake of lower tightness. The findings of this study will assist the investors to wisely understand the multifaceted nature of market liquidity and base their trading decisions accordingly. Moreover, the regulators of the stock exchange can devise liquidity enhancing policies based on the directional movements among liquidity dimensions.
Project description:PurposeThe purpose of this paper is to study the impact of enterprises' digital transformation on the risk of stock price crashes, but also to study the mediating role of enterprises' financialization and accounting conservatism in the enterprises' digital transformation on stock price crash risk.Design/methodology/approachBased on the data of 2,599 listed companies in China from 2010 to 2019, this paper constructs indicators of enterprise digital transformation through word frequency analysis method, and uses fixed-effects model and mediated-effects model to explore the impact and mechanism of enterprise digital transformation on the stock price crash risk.FindingsThis study shows that firms' digital transformation reduces the risk of stock price crashes and that financialization of firms and accounting conservatism play a significant mediating effect between enterprises' digital transformation and the risk of stock price crashes.Originality/valueThis study enriches the study of stock price crash risk by including digital transformation in the field of stock price crash research, and it examines the mediating roles of financialization of enterprises and accounting conservatism, which provides a new explanatory mechanism to the study of the correlation between digital transformation of enterprises and the risk of stock price crash.
Project description:This paper investigates the impact of corporate governance and culture background on firms’ environmental performance and CSR disclosure from a global perspective. It provides evidence of a positive relationship between environmental performance and CSR disclosure, supporting the voluntary disclosure theory. We find that common internal corporate governance best practices (such as CEO non-duality, ESG committees and gender diversified boards) are associated with better environmental performance and more disclosure of CSR related information. Debt is an effective internal governance vehicle and positively affects firms’ environmental performance and CSR disclosure. Cross-listed firms perform better environmentally and disclose more CSR information. Firms residing in countries with stronger legal systems have less voluntary CSR disclosure, implying that external governance is functional and may partially serve as a substitute for internal governance. In terms of culture influence, we find that firms in countries with low power distance, individualism, femininity, high uncertainty avoidance, and long-term orientation perform better environmentally. Firms in low power distance, collectivistic, feminine, long-term oriented, high uncertainty avoidance and restrained countries disclose more CSR information.
Project description:Digital transformation, as a significant shift in optimizing enterprise resource allocation and enhancing information connectivity, offers the opportunity to stimulate the endogenous dynamics of corporate green governance. Employing a sample of 3,002 listed companies in China, a fixed-effects model, and the entropy power method to formulate a green governance index system, this study examines how digital transformation affects corporate green governance concerning carbon peaking and carbon neutrality objectives. According to these findings, the implementation of the digital transformation improves corporate green governance, each unit increase in digital transformation correlates with a 1.91% enhancement in green governance. Moreover, an examination of the mechanisms shows that green governance can be promoted by addressing information asymmetry and enhancing operational efficiency. Additionally, the association between corporate green governance and digital transformation is moderated favorably by strategic aggressiveness. Furthermore, our results indicate that digital transformation contributes significantly to the advancement of green governance within enterprises located in areas with high digital financing and strong technology integration capacities. Digitalization has a stronger effect on promoting green governance for enterprises in pilot regions than in non-pilot regions in terms of carbon emission trading. This study not only assists enterprises in elucidating the developmental trajectory of digital transformation amid carbon peaking and carbon neutrality goals but also provides a reference for decision-making on how digital technology can empower corporate green governance and promote sustainable economic growth.
Project description:We provide unique firm-level evidence of the relation between state ownership and stock liquidity. Using a broad sample of newly privatized firms (NPFs) from 53 countries over the period 1994–2014, our study identifies a non-monotonic association between state ownership and stock liquidity. The inverse U-shaped relation is consistent with trade-offs between costs and benefits of state ownership and suggests an optimal level of government shareholdings that maximizes stock liquidity of NPFs. We further identify that the inflection point from the cost/benefit trade-off is contingent upon characteristics of the nation's institutional environment. Highlights • We study how state ownership affects stock liquidity.• We identify a non-monotonic relation between state ownership and stock liquidity.• This relation is consistent with trade-offs between costs/benefits of state ownership.• The inflection point from this trade-off depends on the institutional environment.
Project description:Information is a critical element of capital markets, and liquidity is the lifeblood of capital markets. Relative to historical information, forward-looking information is of significant value to investors. Based on textual analysis calculations, we selected Chinese A-share listed companies as a research sample to explore the impact of forward-looking information disclosure level on stock liquidity. It is found that the higher the level of forward-looking information disclosure, the better the stock liquidity. Investor sentiment is the transmission mechanism through which the forward looking statement disclosure level affects stock liquidity. The heterogeneity analysis shows that the level of forward-Looking statement disclosure has a more significant effect on stock liquidity improvement for state-owned enterprises and enterprises in low-market regions than those in regions with high marketization levels. The article expands and enriches the research on forward-looking information disclosure, and also has some reference value for regulators to formulate laws and regulations and regulate forward-looking information disclosure.
Project description:The notion of holistic governance was originally proposed to make up for the fragmentation of public service provision. However, such a notion also has a great potential to be transferred and understood in the digital government context in China, where there is an increasing need to reshape the landscape of government-enterprise relationships that can enable enterprises to involvement effectively in holistic governance, or the planning and design of public services. However, previous empirical studies on holistic governance have neglected the question of how to make this happen. The aim of this article is to fill these gaps, building on holistic governance theory, this article offers a theoretical framework for government-enterprise relationships under the holistic governance paradigm. The framework identifies a comprehensive set of relationships that explain how these relationships affect enterprises' participation in public service provision. The empirical analysis is based on case studies of four e-services cooperation programs in China. We report three main findings. First, economic incentive should be developed in combination with a holistic governance strategy in order to encourage policymakers to reshape government-enterprise relationships. Second, it seems that the implementation of holistic governance is more effective when complemented with a managerial strategy in relation to organizational transformation. Finally, trust-building between governments and enterprises plays a pivotal role in nurturing the holistic governance paradigm. These findings have important policy implications for efforts to promote enterprise participation and cross-sector solutions to fragmented public service provision.
Project description:This paper investigates the impact of online interaction between investors and enterprises on stock liquidity, using data from A-share listed companies in China from 2010 to 2021. Firstly, our findings reveal that more frequent interaction leads to better stock liquidity, and this result remains consistent across various robustness tests. Secondly, we observe that the expected tenure of senior executives and the ratio of institutional investor ownership exert a significant moderating effect on this relationship. Thirdly, this effect varies across enterprises at different development stages and with different ownership structures, being more pronounced in growing and privately-owned companies. Furthermore, this paper finds an inverted U-shaped relationship between reply length and stock liquidity, indicating that excessively long replies may introduce noise and negatively affect liquidity. This study provides new insights into how online interactions can improve market efficiency and offers practical implications for corporate governance and investor relations.
Project description:This article describes a dataset on firm-level corporate governance (CG) mechanisms in the Sultanate of Oman. It incorporates, in cross-sectional time series (pooled panel) data, eleven variables: corporate governance quality, board of directors' quality, audit committee quality, board independence, board expertise, board size, board meetings, audit committee independence, audit committee expertise, audit committee size, and audit committee meetings. The dataset is derived from 1540 firm-year observations for the period 2005 to 2017, excluding financial firms (482) and firms with missing data (29), resulting in a final sample of 1029 firm-year observations. The data were extracted from six sources: OSIRIS database, CG reports, Google, firm's website, directors' websites, and Bloomberg. Scholarly researchers can readily use this dataset as two data types were created to allow individual and composite measurements of corporate governance mechanisms. The individual determinants are: board independence, board expertise, board size, board meetings, audit committee independence, audit committee expertise, audit committee size, and audit committee meetings. The composite measurements are: corporate governance quality, board of directors' quality, and audit committee quality. This dataset could be used for investigating corporate governance mechanisms in different business and market issues.