scholarly journals Financing Constraints, Risk of Stock Price Crash and Impact of New Crown Pneumonia

2021 ◽  
Vol 13 ◽  
pp. 233-241
Author(s):  
Jianing Xu ◽  
Rongxing Ouyang ◽  
Nanjie Chen ◽  
Xinyan Wan

Taking Shanghai and Shenzhen A stock listed companies as a sample, this paper uses the event research method to test the effect of financing constraints and stock price crash risk on the cumulative excess return (CAR) of enterprises under the impact of the epidemic situation. The results show that the risk of stock price collapse plays a negative role in the transmission channel of the impact of the new crown epidemic on the enterprise's cumulative excess return, and the financing constraint intensifies the negative effect. Further, the heterogeneity analysis based on firm size and ownership found that in SMEs and non-state-owned enterprises, the effect of increased financing constraints is more significant Is significant. Finally, this paper puts forward some suggestions from the perspective of relevant regulatory departments and enterprises themselves.

Author(s):  
Min Hong ◽  
Zhenghui Li ◽  
Benjamin Drakeford

Green technology innovation is regarded as an important means to achieve sustainable development. Countries all over the world mainly implement green technology innovation policies from the aspects of environmental regulation and financing constraints. The effect of financing constraint policy on enterprise green technology innovation remains to be investigated. Based on the event of “green credit guidelines” issued by China Banking Regulatory Commission in 2012, this paper collects the panel data of China’s 2825 listed companies from 2007 to 2018, constructs a difference-in-difference model, and studies the impact of green credit guidelines on corporate green technology innovation and its mechanism. The empirical results show: First, green credit guidelines can promote corporate green technology innovation on the whole. Second, the mechanism of green credit on enterprise green technology innovation is identified. Green credit guidelines mainly limited green technology innovation through reducing debt financing, rather than through financing constraints. Third, the impact of green credit guidelines on green technology innovation is heterogeneous. Green credit guidelines have a significant effect on the green technology innovation of state-owned and large enterprises, but have no effect on the green technology innovation of non-state-owned and small ones.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianmai Liu

Purpose As an important part of the disclosure of listed companies' annual reports, MD&A will disclose some "bad news" about the company. The purpose of this paper is to study whether such "bad news" can reduce information asymmetry and alleviate the risk of stock price crash remains to be seen. Design/methodology/approach Based on the sample of A-share listed companies from 2007 to 2016, the authors examine whether the negative information in MD&A could reduce stock price crash risk. Findings It is found that the negative information in MD&A does not reduce future crash, which indicates that the negative information in MD&A does not alleviate the information asymmetry. Further, it is also found this is due to the low readability of negative information which leads to the negative information not successfully released into the market timely. Only highly readable negative information can alleviate information asymmetry and suppress crash risk. In addition, the authors also find in the companies with more investor surveys negative tone is negatively correlated with crash risk, which means that investor surveys could help investors interpret the negative information in MD&A and alleviate stock price crash risk. Practical implications The practical significance of this article: this paper suggests that investors should carefully identify the quality of negative information in MD&A and pay attention to other quality characteristics besides credibility. This paper suggests that the regulator should pay attention not only to whether to disclose and the amount of disclosure but also to the quality of information disclosure, such as readability, so as to restrict management's strategic behavior in information disclosure. Originality/value First, different from previous studies on the impact of information disclosure on crash risk, this paper directly explores the impact of information in MD&A on stock price crash risk from the perspective of negative information disclosure that management most want to hide. It supplements the literature on the impact of information disclosure on stock price crash risk. Second, this paper studies the interaction between information tone and readability and its impact on the risk of stock price crash. Some studies believe that the credibility of negative news is higher and investors' reaction may be stronger. However, this paper finds that the disclosure of negative information may not be absorbed by the market because of the low readability. Third, this paper finds that investor surveys can help information users to interpret negative information and alleviate the risk of stock price crash, which shows that information disclosure of different channels will complement each other and improve information efficiency. Therefore, it advocates different information disclosure channels which has important practical significance for improving market pricing efficiency and reducing investment decision-making risk.


2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Yan Li ◽  
Bao Sun ◽  
Shangyao Yu

Abstract This paper examines whether the announcement of an employee stock ownership plan (ESOP) affects stock price crash risk and the mechanism by which the ESOP may influence crash risk, using a sample of Chinese A-share firms from the period 2014 to 2017. We provide evidence that an ESOP announcement is significantly and negatively related to a firm’s stock price crash risk. An ESOP announcement sends positive signals to the market that insiders are optimistic about a firm’s future value, which helps enhance investor confidence, resist the pressure for a fire sale caused by negative information disclosure, and reduce stock price crash risk. Further research shows that larger-scale, lower-priced and non-leveraged ESOPs are more helpful in reducing crash risk. This paper sheds lights on the impact of ESOPs in a volatile market environment. It also contributes to firms’ implementation of ESOPs and the development of the legal system in capital markets.


2020 ◽  
Vol 13 (2) ◽  
pp. 30 ◽  
Author(s):  
Ahmed Imran Hunjra ◽  
Rashid Mehmood ◽  
Tahar Tayachi

We investigate the impact of corporate social responsibility (CSR) and corporate governance on stock price crash risk in manufacturing sector of India and Pakistan. We collect data of nine years from 2010 to 2018 from DataStream of 353 manufacturing firms. We apply the Generalized Method of Moments (GMM) to the analysis of the data. We find that when firms actively engage in CSR activities, they lead to reduced stock price crash risk. We further find that managerial ownership has a significant positive impact on stock price crash risk, while board size and CEO duality show a significant and negative impact on stock price crash risk.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Binghui Wu ◽  
Yuanman Cai ◽  
Mengjiao Zhang

This paper uses the partial least squares method to construct the investor sentiment index in Chinese stock market. The Shanghai Stock Exchange 180 Index and the Shenzhen Stock Exchange 100 Index are used as samples. From the perspectives of holistic sentiment and heterogeneous sentiment, this paper studies the impact of investor sentiment on stock price crash risk. The results show that investor sentiment can significantly affect stock price crash risk in Shanghai and Shenzhen A-share markets, especially in the Shenzhen A-share market no matter from which perspective. And investor pessimism has a greater impact on stock price crash risk in the Shenzhen A-share market from the perspective of heterogeneous sentiment. Compared with the available researches, this paper makes two contributions: (i) the comparative analysis is adopted to discuss the differences between Shanghai and Shenzhen A-share markets, abandoning the research approach that takes the two markets as a whole in existing literature, and (ii) this paper not only studies the impact of investor holistic sentiment on stock price crash risk from a macro perspective, but also adds a more micro heterogeneous sentiment and conducts a comparative analysis.


Author(s):  
Ali Haghighi ◽  
Mehdi Safari Gerayli

Purpose Increasing managerial ownership gives rise to the managerial opportunistic behaviors, among which bad news hoarding has attracted a lot of attention. Nevertheless, there always exists a threshold level at which the accumulated bad news releases abruptly, thereby resulting in corporate stock price crash risk. On the above arguments, this study aims to investigate the impact of managerial ownership on stock price crash risk of the firms listed on the Tehran Stock Exchange (TSE). Design/methodology/approach Sample includes the 485 firm-year observations from companies listed on the TSE during the years 2012-2016 and the research hypothesis was tested using multivariate regression model based on panel data. Findings The results reveal that managerial ownership increases the corporate stock price crash risk. These findings are robust to an alternative measure of stock price crash risk, individual analysis of the research hypothesis for each year and endogeneity concern. Originality/value The current study is almost the first study, which has been conducted in emerging capital markets, so the findings of the study not only extend the extant theoretical literature concerning the stock price crash risk in developing countries including emerging capital market of Iran but also help policymakers, regulators, investors and users of financial reports to make informed decisions.


2020 ◽  
Vol 35 (7) ◽  
pp. 1141-1153
Author(s):  
Jia Li ◽  
Zhengying Luo

Purpose The purpose of this paper is to explore the impact of product market competition on the risk of stock price crash based on the degree of industry competition and the competitive position of enterprises. Design/methodology/approach This paper chooses the data of Shanghai and Shenzhen A-share listed companies from 2009 to 2017 as samples and uses a threshold regression model to explore the impact of product market competition on the risk of a stock price crash. Findings The results show that: the overall level of industry competition is negatively correlated with the risk of stock price crash; the competitive position of enterprises and the risk of a stock price crash. The correlation is not significant: for high competitive enterprises, the degree of industry competition is negatively correlated with the risk of stock price crash; for low competitive enterprises, the degree of industry competition is positively correlated with the risk of a stock price crash and the conclusions obtained have passed the robustness test. Originality/value This paper not only enriches the literature on the relationship between product market competition and the risk of stock price crash but also has reference significance for supervisors to allocate resources to supervise information disclosure of listed companies.


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