The Impact of Margin-Trading and Short-Selling on Stock Price Efficiency—Evidence from the Fifth-Round Ban Lift in the Chinese Stock Market

2020 ◽  
Vol 53 (3) ◽  
pp. 265-284 ◽  
Author(s):  
Jun Chen ◽  
Huimin Li ◽  
Dazhi Zheng
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Short Selling ◽  
Chinese Stock Market ◽  
Price Efficiency ◽  
The Impact

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 Market coupling: an empirical study of the Sino-Korean game industry

2020 ◽  
Vol 17 (1) ◽  
pp. 291-303
Author(s):  
Jung Woon Park ◽  
Seungho Baek ◽  
Mina Glambosky ◽  
Seok Hee Oh
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Price ◽  
Composite Index ◽  
Chinese Stock Market ◽  
Chinese Market ◽  
Korean Economy ◽  
Game Industry ◽  
Korean Market ◽  
The Impact

This study aims to examine the relationship between the Korean and Chinese game industries, and more broadly, the Chinese stock market. Chinese firms are the most important partners and investors in the Korean game industry, which has emerged as a significant component of a thriving Korean economy. The paper examines the impact of growth in the Chinese game industry on the Korean market and the correlation and cointegration between the stock returns of nineteen Korean game companies, the Chinese stock market, and Chinese game companies. A portfolio constructed from Korean game companies listed on the KOSPI and KOSDAQ is analyzed. Variation in the Shanghai Composite Index is shown to significantly influence the performance of Korean game companies. Further, the Korean game industry is sensitive to changes in the stock price of leading Chinese game publishers. The Korean game industry returns more closely mirror the returns of the Chinese stock markets rather than the Korean markets, evidence of the influence of China. As growth and returns in the Korean game industry are closely related to the performance of the Chinese market, future performance is subject to political and economic changes in China.

scholarly journals Building stock market resilience through digital transformation: using Google trends to analyze the impact of COVID-19 pandemic

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Ding Ding ◽  
Chong Guan ◽  
Calvin M. L. Chan ◽  
Wenting Liu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Digital Transformation ◽  
Google Trends ◽  
Building Stock ◽  
Market Sentiment ◽  
Price Performance ◽  
Novel Coronavirus ◽  
The Impact

Abstract As the 2019 novel coronavirus disease (COVID-19) pandemic rages globally, its impact has been felt in the stock markets around the world. Amidst the gloomy economic outlook, certain sectors seem to have survived better than others. This paper aims to investigate the sectors that have performed better even as market sentiment is affected by the pandemic. The daily closing stock prices of a total usable sample of 1,567 firms from 37 sectors are first analyzed using a combination of hierarchical clustering and shape-based distance (SBD) measures. Market sentiment is modeled from Google Trends on the COVID-19 pandemic. This is then analyzed against the time series of daily closing stock prices using augmented vector autoregression (VAR). The empirical results indicate that market sentiment towards the pandemic has significant effects on the stock prices of the sectors. Particularly, the stock price performance across sectors is differentiated by the level of the digital transformation of sectors, with those that are most digitally transformed, showing resilience towards negative market sentiment on the pandemic. This study contributes to the existing literature by incorporating search trends to analyze market sentiment, and by showing that digital transformation moderated the stock market resilience of firms against concern over the COVID-19 outbreak.

scholarly journals The Impact of COVID-19 on the Stock Price of Socially Responsible Enterprises: An Empirical Study in Taiwan Stock Market

2021 ◽  
Vol 18 (4) ◽  
pp. 1398
Author(s):  
Kuo-Jung Lee ◽  
Su-Lien Lu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
Recovery Phase ◽  
Socially Responsible ◽  
Cumulative Impact ◽  
Study Approach ◽  
Price Performance ◽  
The Impact

This study examines the impact of the COVID-19 outbreak on the Taiwan stock market and investigates whether companies with a commitment to corporate social responsibility (CSR) were less affected. This study uses a selection of companies provided by CommonWealth magazine to classify the listed companies in Taiwan as CSR and non-CSR companies. The event study approach is applied to examine the change in the stock prices of CSR companies after the first COVID-19 outbreak in Taiwan. The empirical results indicate that the stock prices of all companies generated significantly negative abnormal returns and negative cumulative abnormal returns after the outbreak. Compared with all companies and with non-CSR companies, CSR companies were less affected by the outbreak; their stock prices were relatively resistant to the fall and they recovered faster. In addition, the cumulative impact of the COVID-19 on the stock prices of CSR companies is smaller than that of non-CSR companies on both short- and long-term bases. However, the stock price performance of non-CSR companies was not weaker than that of CSR companies during times when the impact of the pandemic was lower or during the price recovery phase.

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.

Impact of the OMRR Operation in Fighting the Adverse Effects of COVID-19 on the Chinese Stock Market: An Event Study

2021 ◽  
Vol 16 (3) ◽  
pp. 495-520
Author(s):  
Lin Guo ◽  
◽  
Xufei Zhang ◽  
Songlei Chao ◽  
◽  
...  
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Abnormal Return ◽  
Fiscal Policies ◽  
Chinese Stock Market ◽  
Open Market ◽  
Monetary Policies ◽  
Technology Industry ◽  
The Impact ◽  
China’S Economy

The outbreak of the COVID-19 epidemic has had an adverse effect on China's economy. This paper uses the event study method to test and measure the impact of the open market reverse repo (OMRR) operation on the Chinese stock market. The results show that the OMRR operation generates a positive daily abnormal return and a positive daily cumulative abnormal return on average for all stocks. The impact is larger for non-state-owned enterprise (non-SOE) firms than for SOE firms, stocks of non-Hubei provinces than those of the Hubei province, and for stocks of the information transmission and technology industry than those of other industries. We suggest that our government implement more prudent monetary policies and more proactive fiscal policies.

scholarly journals Prediction and Empirical Study of Stock Yield Volatility Based on Event Study

2020 ◽  
Vol 214 ◽  
pp. 02023
Author(s):  
Shen Mingcai ◽  
Liu Xin ◽  
Huang Xi ◽  
Cao Zhaohuan ◽  
Su Ganya
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Listed Company ◽  
Investment Decision ◽  
Practical Significance ◽  
Event Window ◽  
Future Return ◽  
Internal Relations ◽  
The Impact ◽  
Source Of Information

Stock market event is an important source of information for investment decision, and it is of practical significance to quantify the event and predict the fluctuation range of future return under such event. Most researchers study stock market events horizontally, that is, to study the impact of a current event on the stock price of a certain sector or industry, while the paper attempts to study vertically the impact of a certain event of a single listed company on the return. Based on the internal relations between public announcement and stock yield of listed companies, the paper deduced the daily yield prediction model of event window by VAR(p) to exclude subjective “estimation” in the past and verifies the feasibility of the model.

scholarly journals The effects of dividend policy to stock prices of listed companies in Vietnam stock market

2020 ◽  
Author(s):  
Thị Lam Hồ ◽  
Thùy Phương Trâm Hồ
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Dividend Policy ◽  
Corporate Value ◽  
Business Managers ◽  
Dividend Payment ◽  
Share Prices ◽  
Finance Management ◽  
The Impact

Dividend policy is one of the most important policies in corporate finance management. Understanding the impact of dividend policy on the distribution of profits, corporate value and thus on the stock price is important for business managers to make policies and for investors to make investment decisions. This study is conducted to evaluate the impact of dividend policy on share prices for companies listed on Vietnam’s stock market in the period from 2010 to 2018, based on the availability of continuous dividend payment data. Using the FGLS method with panel data of 100 companies listed on the HoSE and HNX, we find evidence of the impact of dividend policy on stock prices, supporting supports the bird in the hand and the signal detection theories. The findings of this study help to suggest a few recommendations for business managers and investors.

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