scholarly journals The Threshold Effect of Leveraged Trading on the Stock Price Crash Risk: Evidence from China

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 268 ◽  
Author(s):  
Zhen Peng ◽  
Changsheng Hu
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Threshold Effect ◽  
Crash Risk ◽  
Chinese Stock Market ◽  
Monthly Data ◽  
Leverage Ratio ◽  
Feedback Trading

The stock price crash constitutes one part of the complexity in the stock market. We aim to verify the threshold effect of leveraged trading on the stock price crash risk from the perspective of feedback trading. We empirically demonstrate that leveraged trading has a threshold effect on the stock price crash risk on the basis of monthly data on leveraged trading in the Chinese stock market from January 2014 to December 2016. At a low leverage ratio, leveraged trading reduces the stock price crash risk; however, as the leverage ratio increases and exceeds a certain threshold, leveraged trading asymmetrically increases the stock price crash risk. These findings provide new insights in understanding the complexity in the Chinese stock market.

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 Leveraged Trading, Irrational Sentiment and Sustainability in the Stock Market: Evidence from China

2020 ◽  
Vol 12 (4) ◽  
pp. 1310 ◽  
Author(s):  
Zhen Peng ◽  
Changsheng Hu
Keyword(s):  
Stock Market ◽  
Investor Sentiment ◽  
Empirical Support ◽  
Chinese Stock Market ◽  
Chinese Market ◽  
Leverage Ratio ◽  
Investor Trading ◽  
The Impact ◽  
The Relationship ◽  
Feedback Trading

Leveraged trading exhibits the characteristics of “strong margin trading and weak short selling” in the Chinese stock market. On the basis of monthly data on leveraged trading in the Chinese stock market from January 2014 to December 2016, we aim to empirically examine the relationship between leveraged trading and investor sentiment, and analyze the characteristics of investor sentiment contained in the leverage ratio. The results show that (1) as the leverage ratio increases, the pattern of investor trading changes from the positive feedback trading of “chasing up and down” to the negative feedback trading of “selling high and buying low”; (2) leveraged trading has the typical characteristics of irrational sentiment; (3) inverse arbitrage strategies based on leverage ratios is effective in one month in the Chinese market. The findings in this paper provide empirical support for clarifying the influence mechanism between leveraged trading and investor sentiment, and can serve as a useful reference for reducing the impact of leveraged trading on volatility and maintaining the sustainability of the stock market.

scholarly journals Volatility Degree Forecasting of Stock Market by Stochastic Time Strength Neural Network

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Haiyan Mo ◽  
Jun Wang
Keyword(s):  
Neural Network ◽  
Stock Market ◽  
Stock Price ◽  
Strength Function ◽  
Global Market ◽  
Chinese Stock Market ◽  
Backpropagation Neural Network ◽  
Time Strength ◽  
Market Indexes ◽  
Stochastic Time

In view of the applications of artificial neural networks in economic and financial forecasting, a stochastic time strength function is introduced in the backpropagation neural network model to predict the fluctuations of stock price changes. In this model, stochastic time strength function gives a weight for each historical datum and makes the model have the effect of random movement, and then we investigate and forecast the behavior of volatility degrees of returns for the Chinese stock market indexes and some global market indexes. The empirical research is performed in testing the prediction effect of SSE, SZSE, HSI, DJIA, IXIC, and S&P 500 with different selected volatility degrees in the established model.

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.

A survey of reverse mergers in the Chinese stock market

2019 ◽  
Vol 9 (1) ◽  
pp. 5-21
Author(s):  
Qingquan Xin ◽  
Ruitao Li ◽  
Sonia Wong
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Regulatory System ◽  
Superior Performance ◽  
Chinese Stock Market ◽  
Regulatory Oversight ◽  
Content Type ◽  
Reverse Mergers ◽  
Regulatory Policies ◽  
Asset Quality

Purpose The purpose of this paper is to provide an introduction to the reverse mergers (RMs) conducted in the Chinese stock market by summarizing the regulatory system, surveying the literature on RMs and analyzing the major characteristics of 161 RM cases. Design/methodology/approach This paper introduces the characteristics and evolution of the regulatory framework governing RM activity in China. Then the paper reviews relevant academic studies on the RMs in China and other countries. Finally, the paper identifies and discusses the major characteristics of 161 RM cases in the Chinese stock market from 2006 to 2016. Findings Private companies that go public via RMs in China not only have superior asset quality but also demonstrate good accounting and stock price performance after listing, and these results are unlike those of studies on the quality of RMs in other countries. Research limitations/implications This paper is based on a survey of 161 RM cases in China’s stock market, with the major characteristics of the RMs being identified and analyzed. The limitations of previous studies and suggestions for further research are discussed. Originality/value This paper suggests that the relative superior performance of RMs in the Chinese stock market is caused by the interplay of market forces and regulatory oversight. The Chinese regulator’s pragmatic and flexible approach plays an important role in formulating regulatory policies that respond to the changing macroeconomic environment and financial markets.

The Ex-Dividend Day Stock Price Behavior in the Chinese Stock Market

2002 ◽  
Author(s):  
Nikolaos T. Milonas ◽  
Nickolaos G. Travlos ◽  
Zezhong Xiao ◽  
Cunkai Tan
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Chinese Stock Market ◽  
Price Behavior
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