scholarly journals Investor Sentiment, Idiosyncratic Risk, and Stock Price Premium: Evidence From Chinese Cross-Listed Companies

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110246
Author(s):  
Yuan Li ◽  
Yu Zhang
Keyword(s):  
Stock Price ◽  
Investor Sentiment ◽  
Principal Component ◽  
Listed Companies ◽  
Idiosyncratic Risk ◽  
Major Effect ◽  
Price Premium ◽  
Economic Factors ◽  
Stock Mispricing ◽  
The Impact

We investigate whether idiosyncratic risk and investor sentiment play important roles in the price disparity between China A-shares and H-shares. To build the investor sentiment indices and decompose them into different fragments for both markets, we use both principal component analysis (PCA) and partial least squares (PLS) approaches. We further look at how idiosyncratic risk affects stock mispricing and how it deals with investor sentiment. We find that the price premium of A-shares over H-shares is strongly linked to the sentiment differential. We also discover that idiosyncratic risk has a major effect on the price premium of cross-listed companies. Moreover, a larger sentiment differential reinforces the impact of idiosyncratic risk on the price disparity. The above results remain robust after controlling for other economic factors.

scholarly journals The Influence of Trading Locations on Equity Returns

2016 ◽  
Vol 12 (12) ◽  
pp. 188
Author(s):  
Nguyen N.T. Vo
Keyword(s):  
Risk Premium ◽  
Stock Price ◽  
Listed Companies ◽  
Equity Returns ◽  
Stock Exchanges ◽  
Home Market ◽  
Trade Effect ◽  
Market Index ◽  
Highly Correlated ◽  
The Impact

This paper evaluates the impact of trading locations on equity returns by examining the stock price behaviour of three Anglo-Dutch dual-listed companies which result from mergers where two corporations agree to function as a single operating business, but maintain separate identities. The shares of these stocks are traded not only in their home market but also on several US stock exchanges in the form of American Depository Receipts. Regressing the return differentials on these dual-listed and cross-listed stocks on the relative market index returns and currency changes provides evidence of an apparent violation of the Law of One Price. The regression results show that the return on each part of dual-listed companies is highly correlated with the market on which it is most intensively traded. Similarly, returns on cross-listed stocks have considerably higher co-movement with US market indices and considerably lower co-movement with home-market indices than their home-market counterparts. Market risk premium is not a significant explanatory variable of the location of trade effect.

scholarly journals ARE ISLAMIC STOCKS LESS EXPOSED TO SENTIMENT-BASED MISPRICING THAN NON-ISLAMIC ONES? EVIDENCE FROM THE INDONESIAN STOCK EXCHANGE

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Rizqi Umar Al Hashfi ◽  
Ahmad Maulin Naufa ◽  
U’um Munawaroh
Keyword(s):  
Capital Market ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Principal Component ◽  
Equation Model ◽  
Cross Sectional ◽  
Stock Mispricing ◽  
Time Invariant ◽  
Islamic Values

The aim of this research is to verify the role of Islamic value in stock mispricing in the Indonesian capital market. Empirically, high investor sentiment can lead to mispricing on equity appraisal. When investors feel excessively optimistic about their valuation, equity will be overpriced, or vice versa. The presence of Islamic values, such as the prohibition of interest, speculative and uncertain transactions, and excessive leverage, arguably reduce sentiment-based mispricing. Daily and cross-sectional market data were employed. In addition, principal component analysis was conducted to construct a firm-specific investor sentiment variable. With regard to the method, the Hausman-Taylor (H-T) approach was used to deal with heterogeneity, endogeneity, and the time-invariant variable in Fama-MacBeth regression. The results show that our baseline analysis confirms the mispricing of overall stocks. However, Islamic stocks are less exposed to sentiment-based mispricing than their non-Islamic counterparts. The results are consistent with our robustness test, in which we estimate the equation model across industry and portfolio. Finally, our findings imply various insights for both investors and policymakers.

scholarly journals The Impact of International Oil Prices on the Stock Price Fluctuations of China’s Renewable Energy Enterprises

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4630 ◽  
Author(s):  
Cody Yu-Ling Hsiao ◽  
Weishun Lin ◽  
Xinyang Wei ◽  
Gaoyun Yan ◽  
Siqi Li ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Stock Prices ◽  
Stock Price ◽  
Capital Investment ◽  
Spillover Effect ◽  
Oil Prices ◽  
Listed Companies ◽  
Oil Price ◽  
Price Fluctuations ◽  
The Impact

In order to address a series of issues, including energy security, global warming, and environmental protection, China has ranked first in global renewable investment for the seventh consecutive year. However, developing a renewable energy industry requires a significant capital investment. Also, the international oil price fluctuations have an important impact on the stock prices of renewable energy firms. Thus, in order to provide implications for market investment as well as policy recommendations, this paper studied the spillover effect of international oil prices on the stock prices of China’s renewable energy listed companies. We used a Vector Autoregressive (VAR) model with innovations using a Factor-GARCH (Generalized Autoregressive Conditional Heteroskedasticity) process to evaluate the impact of market co-movements and time-varying volatility and correlation between the international oil price and China’s renewable energy market. The results show that the international oil price has a significant price spillover effect on the stock prices of China’s renewable energy listed companies. Moreover, the fluctuations of international oil prices have an influence on the stock price variations of Chinese renewable energy listed companies.

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 Impact of Blockchain Technology on Stock Price: An Emprical Study

2021 ◽  
Vol 96 ◽  
pp. 04008
Author(s):  
Minhe Xu
Keyword(s):  
Stock Price ◽  
Quantitative Research ◽  
Rapid Development ◽  
Listed Companies ◽  
Theoretical Research ◽  
Practical Significance ◽  
Future Research ◽  
Event Analysis ◽  
Blockchain Technology ◽  
The Impact

With the rapid development of blockchain technology, more and more attention has shifted from the theoretical research of blockchain technology to the application of specific business of the company. However, there are few literatures on the quantitative research on the impact of blockchain technology on the company's market value after it is applied to the company's actual business. In this paper, 73 listed companies published blockchain application announcements from 2016 to 2019 are selected as the research objects, and the short-term event analysis method is used to quantitatively analyze the impact of the application about blockchain technology on the market performance of listed companies. The results show that: after the announcement of blockchain application in their own business, listed companies have a more significant abnormal income, which shows that the capital market has a significant positive response to the application of blockchain. Finally, this paper puts forward the theoretical and practical significance, limitations and future research.

The impact of product market competition on stock price crash risk

2020 ◽  
Vol 35 (7) ◽  
pp. 1141-1153
Author(s):  
Jia Li ◽  
Zhengying Luo
Keyword(s):  
Stock Price ◽  
Market Competition ◽  
Product Market ◽  
Listed Companies ◽  
Product Market Competition ◽  
Crash Risk ◽  
Competitive Position ◽  
Content Type ◽  
Industry Competition ◽  
The Impact

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.

Research on the impact of green bond issuance on the stock price of listed companies

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bin Xi ◽  
Huimin Jing
Keyword(s):  
Stock Price ◽  
Five Factor Model ◽  
Listed Companies ◽  
Pollutant Emission ◽  
Small Scale ◽  
Price Effect ◽  
Investor Attention ◽  
Content Type ◽  
The Impact ◽  
First Time

PurposeConsidering that listed companies are the main body of natural resource consumption and pollutant emission, this study aims to explore the stock price effect and source channels of green bond issuance of listed companies. This is extremely necessary to promote listed companies to actively fulfill their environmental responsibilities so as to achieve sustainable economic and social development.Design/methodology/approachIn this paper, the companies that issued green bonds in Shanghai and Shenzhen stock markets in China from 2016 to 2018 are used as samples. First of all, the authors adopt the event study method and match the two models to prove that there is a stock price effect in green bond issuance. Then, the authors introduce the general regression model to analyze the sources of the stock price effect of green bond issuance in detail through three channels: “financing cost,” “investor attention” and “fundamental.”FindingsIn the above three channels, the “investor attention” channel can well explain the stock price effect of green bond issuance. Meanwhile, the authors also find that the stock price effect of the subsequent issuance of green bonds is more significant than that of the first time, non-financial companies are more pronounced than financial companies, public issuance are more obvious than private issuance, state-owned companies are more notable than non-state-owned companies, small-scale companies are more evident than large-scale companies and companies with high equity concentration are clearer than those with low equity concentration.Originality/valueTaking China as the research object for the first time, this paper comprehensively employs the capital asset pricing model and Fama–French five-factor model to discuss the stock price effect of green bond issuance of listed companies. Secondly, this paper also studies whether the way of green bond issuance, the type and size of the company, as well as the degree of ownership concentration will have different effects on the stock prices of listed companies. The research results provide new ideas and methods for the stock price effect of green bond issuance.

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