LOCAL INSTITUTIONAL ENVIRONMENT AND STOCK PRICE CRASH RISK: EVIDENCE FROM CHINA

2020 ◽  
pp. 1-22
Author(s):  
XIAOJIAN TANG ◽  
STEPHANIE TSUI ◽  
KUANG-TA LO
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Institutional Environment ◽  
Crash Risk ◽  
Level Data ◽  
The Relationship ◽  
Privately Owned ◽  
Province Level

Based on province-level data on China’s local institutional environment from 2008 to 2014, we explore the relationship between the local institutional environment and stock price crash risk. We find that a stronger local institutional environment curbs stock price crash risk. Furthermore, we explore the relationship between local institutional environment and stock price crash risk for state-owned versus privately owned enterprises. We find that a stronger local institutional environment is more likely to curb stock price crash risk in state-owned enterprises than in privately owned enterprises. Our results are robust to additional tests. These findings suggest that it is necessary to accelerate the progress of local marketization in China to ensure the development of the stock market and a strong economy.

scholarly journals ESG Disclosures and Stock Price Crash Risk

2021 ◽  
Vol 14 (2) ◽  
pp. 70 ◽  
Author(s):  
Rio Murata ◽  
Shigeyuki Hamori
Keyword(s):  
Dynamic Model ◽  
Stock Price ◽  
The United States ◽  
Crash Risk ◽  
Firm Level ◽  
Market Participants ◽  
Major Market ◽  
Market Index ◽  
Index Components ◽  
The Relationship

In this study, we investigate the relationship between environmental, social, and governance (ESG) disclosures and stock price crash risk. A stock price crash is a dreadful event for market participants. Thus, exploring stock price crash determinants is helpful for investment decisions and risk management. In this study, we use samples of major market index components in Europe, the United States, and Japan to perform regression analyses, after controlling for other potential stock price crash determinants. We estimate static two-way fixed-effect models and dynamic GMM models. We find that coefficients of firm-level ESG disclosures are not statistically significant in the static model. ESG disclosure coefficients in the dynamic model are not statistically significant in the U.S. market sample. On the other hand, coefficients of ESG disclosure scores in the dynamic model are statistically significant and negative in the European and Japanese marker sample. Our findings suggest that ESG disclosures lower future stock price crash risk; however, the effect and predictive power of ESG disclosures differ among regions.

scholarly journals Management equity incentives and stock price crash risk: “Golden handcuffs” or “gold watch”

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249900
Author(s):  
Xiaohua Zhou ◽  
Jinshi Wan ◽  
Yi Yang ◽  
Xiangyu Gan
Keyword(s):  
Peer Effects ◽  
Stock Price ◽  
Listed Companies ◽  
Mediation Effect ◽  
Crash Risk ◽  
Mediating Effects ◽  
Equity Incentives ◽  
Region 10 ◽  
The Relationship ◽  
A Share

This paper expands the previous research on management equity incentives (MEIs) and stock price crash risk by distinguishing between the "gold watch" region and the "golden handcuff" regions in MEIs. By using an estimation of the gold watch region and the golden handcuff regions based on 6,675 annual observations of China’s A-share listed companies, the stock price crash risk is found to be negatively correlated with MEIs in the golden handcuff regions (0–10%, 30%-100%) and is positively correlated with MEIs in the gold watch region (10%-30%). A further investigation of the mediating effects of peer effects on MEIs and the stock price crash risk reveals that peer effects have a partial mediation effect at the level of peer managers’ shareholding and mediate the relationship between MEIs and the stock price crash risk.

Is disposition related to momentum in Chinese market?

2015 ◽  
Vol 41 (6) ◽  
pp. 600-614 ◽  
Author(s):  
Liu Liu Kong ◽  
Min Bai ◽  
Peiming Wang
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Disposition Effect ◽  
Chinese Stock Market ◽  
Momentum Effect ◽  
Chinese Market ◽  
Firm Level ◽  
Content Type ◽  
Level Data ◽  
The Relationship

Purpose – The purpose of this paper is to examine whether the framework of Prospect Theory and Mental Accounting proposed by Grinblatt and Han (2005) can be applied to analyzing the relationship between the disposition effect and momentum in the Chinese stock market. Design/methodology/approach – The paper applies the methodology proposed by Grinblatt and Han (2005). Findings – Using firm-level data, with a sample period from January 1998 to June 2013, the authors find evidence that the momentum effect in the Chinese stock market is not driven by the disposition effect, contradicting the findings of Grinblatt and Han (2005) concerning the US stock market. The discrepancies in the findings between the Chinese and US stock markets are robust and independent of sample periods. Research limitations/implications – The findings suggest that Grinblatt and Han’s model may not be applicable to the Chinese stock market. This is possibly because of the regulatory differences between the two stock markets and cross-national variation in investor behavior; in particular, the short-selling prohibition in the Chinese stock market and greater reference point adaptation to unrealized gains/losses among Chinese compared to Americans. Originality/value – This study provides evidence of the inapplicability of Grinblatt and Han’s model for the Chinese stock market, and shows the differences in the relationship between disposition effect and momentum between the Chinese and US stock markets.

WHEN THE BUBBLE IS GOING TO BURST …

1999 ◽  
Vol 02 (03) ◽  
pp. 285-292 ◽  
Author(s):  
JING CHEN
Keyword(s):  
Hong Kong ◽  
Stock Market ◽  
Stock Price ◽  
Price Change ◽  
Convertible Bond ◽  
Price Behavior ◽  
Clear Signal ◽  
Security Markets ◽  
Relationship Of ◽  
The Relationship

There has been constant debate about the predictability of the security markets. We examine the relationship between the prices of a stock and its convertible bond during the Hong Kong stock market bubble of 1997 and its subsequent crash. We find that the price behavior of the share and the convertible bond not only gave a clear signal of the market reversal, but also the minimum range of the stock price change. This example offers concrete evidence that the market becomes highly predictable at times and gives us a chance to understand the relationship of the underlying stock and its derivatives during market bubbles.

scholarly journals Investor Sentiment and Stock Price Crash Risk in the Chinese Stock Market

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Binghui Wu ◽  
Yuanman Cai ◽  
Mengjiao Zhang
Keyword(s):  
Comparative Analysis ◽  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Crash Risk ◽  
Research Approach ◽  
Chinese Stock Market ◽  
The Impact ◽  
A Share

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.

scholarly journals The relationship between macroeconomic factors and stock market volatility: empirical evidence from the Vietnam stock market

2013 ◽  
Vol 16 (3) ◽  
pp. 86-100
Author(s):  
Kieu Minh Nguyen ◽  
Diep Van Nguyen
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Macroeconomic Factors ◽  
Stock Price Index ◽  
The Exchange Rate ◽  
The Relationship

The main target of this study is to measure the relationship of macroeconomic factors to the volatility of the stock market in Vietnam (through stock price VN-index). There are four factors including the consumer price index (measure of inflation), the exchange rate of USD/VND and money supply M2. Research shows that the stock price VN-Index has a positive relationship with the money supply M2 and the domestic gold price in long term. On the contrary, it has a negative relationship with the inflation while it does not have any connection to the exchange rate and stock price index. In short term, the current stock price index has proportional to the stock price index last month and inversely proportional to the exchange rate. The estimated speed of adjustment indicates that the Vietnam stock market converges to the equilibrium about 8 months (adjusted approximately 13.04% per month) to reach equilibrium in the long term.

Sign in / Sign up

Export Citation Format

Share Document