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.

Does intellectual capital have any influence on stock price crash risk?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Agung Nur Probohudono ◽  
Adelia Dyaning Pratiwi ◽  
Mahameru Rosy Rochmatullah
Keyword(s):  
Intellectual Capital ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Price Volatility ◽  
Crash Risk ◽  
Company Performance ◽  
Content Type ◽  
The Impact

PurposeThis paper explores the influence between intellectual capital (IC) and the risk of stock price crashes by using company performance as an intervening variable.Design/methodology/approachThis study empirically analyzes the impact of the efficiency of IC on stock price crash risk using a sample size of 152 companies listed on the Indonesia Stock Exchange (IDX) during 2018. To test the research hypotheses, regression analysis and path analysis were applied. In addition, the researchers added exploration to several studies to strengthen the results of this study.FindingsThis study’s findings indicate that investors' optimistic (pessimistic) sentiment regarding stock price volatility has obscured aspects of the financial performance of listed companies. This finding implies that investor sentiment has dominated influence on stock price crash risk so that the aspects of IC are obscured.Originality/valueThis research provides new information that IC disclosure in the stock market needs to include knowledge of the volatility of stock prices in order to reveal stock price crash risk.

scholarly journals IMPACT OF COVID 19 ON THE INDIAN STOCK MARKET

2021 ◽  
Vol 23 (07) ◽  
pp. 1085-1090
Author(s):  
Harsh Vikram Arora ◽  
Keyword(s):  
United States ◽  
Stock Market ◽  
Financial Markets ◽  
Stock Price ◽  
Stock Exchange ◽  
The United States ◽  
World Health ◽  
Health Crisis ◽  
The World ◽  
The Impact

The COVID19 pandemic which came unprecedentedly has brought forward a lot of confusion and unrest in the world. There are a lot of changes with regard to the global landscape in multiple ways. SARS-CoV-2 is the primary virus, which is the root contributor to the COVID19 outbreak, which started in Wuhan, Hubei Province, China, in December 2019. It did not take much time to spread across the world. This pandemic has resulted in a universal health crisis, along with a major decline in the global economy. One of the major reasons for the fluctuation in the stock price is supply and demand. When the number of people who want to sell their stocks outnumbers those who want to purchase it, the stock price drops. Due to the result in the gap, the financial markets will suffer in the short duration, but in the long run, markets will correct themselves and would increase again. There is a sharp decline in the stock price because of the pandemic. The current scenario has resulted in a world health crisis which has contributed to global and economic crises. Almost all financial markets across the world have been affected by the recent health crisis, with stock and bond values falling gradually and severely. In the United States, the Dow Jones and S& P 500 indices have fallen by more than 20%. The Shanghai Stock Exchange and the New York Dow Jones Stock Exchange both indicate that they had a significant impact on China’s and the United States’ financial markets. The primary purpose of this paper is to determine the impact of COVID19 on stock markets. The rapid spread of the virus has left a major impact on the global financial markets. There is a link between the pandemic and the stock market, and this has been studied in this paper. Along with it, an attempt is taken to compare stock price returns in pre-COVID19 and post-COVID19 scenarios. The stock market in India faced uncertainty during the pandemic, according to the findings.

Managerial ownership and stock price crash risk: a case of Iranian firms

2019 ◽  
Vol 13 (1) ◽  
pp. 42-55
Author(s):  
Ali Haghighi ◽  
Mehdi Safari Gerayli
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Threshold Level ◽  
Bad News ◽  
Crash Risk ◽  
Managerial Ownership ◽  
Alternative Measure ◽  
Content Type ◽  
Research Hypothesis ◽  
The Impact

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.

The Impact of Investor Sentiment on Stock Market Liquidity: The Mediating Role of Investor Herding Behavior “An Empirical Study on the Egyptian Stock Exchange”

2021 ◽  
pp. 31-60
Author(s):  
A. H. El-Gayar ◽  
◽  
I. A. El-Hayes ◽  
S. Metawa ◽  
◽  
...  
Keyword(s):  
Stock Market ◽  
Empirical Study ◽  
Mutual Fund ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Theoretical Background ◽  
Market Liquidity ◽  
Indirect Impact ◽  
Stock Market Liquidity ◽  
The Impact

Behavioral finance is a recent approach in financial markets that have appeared because of the complexities long faced by the traditional or neoclassical finance theory. This paper investigates the influence of investor sentiment and herding behaviour on stock market liquidity using an empirical study on the Egyptian Stock Market. We examine the direct impact of Egyptian investor sentiment on the Egyptian Stock Market liquidity. As well as the indirect impact of the Egyptian investor sentiment on the Egyptian Stock Market liquidity through the Egyptian investor herding behaviour. Therefore, the major contribution is filling the gap of indirect sentiment-liquidity impact conflict. We use the monthly data of the EGX30 index from January 2004 up to December 2018 for building up investor sentiment index, investor herding behaviour, and stock market liquidity measures. Moreover, we are using two additional types of data (closed-end mutual fund discounts and the equity open-end mutual fund flows) that represent major measures which are used to build up investor sentiment index ranging through the same time-series of the previously mentioned period of this paper. Additionally, we use four control variables for stock market liquidity, namely market volatility, excess market return, term spread, and lag of the dependent variable, considering that the fourth variable is also used for investor herding behaviour. Our result shows that the investor sentiment index has both a direct and indirect impact on stock market liquidity. In addition, regarding event study analysis’ results, there are different signs of the direct and indirect impacts and different correlations between the research variables throughout the four different events that differ completely from the usual signs and correlations of the theoretical background.

Impact on Stock Price by the Inclusion to and Exclusion from CNX Nifty Index

2012 ◽  
Vol 13 (1) ◽  
pp. 39-50 ◽  
Author(s):  
M. Selvam ◽  
G. Indhumathi ◽  
J. Lydia
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Research Study ◽  
Stock Exchange ◽  
Valuation Effect ◽  
Index Maintenance ◽  
Indian Stock Market ◽  
The Impact ◽  
Indian Perspective

Changes in an index are a regular phenomenon and they take place due to the inclusion and exclusion of stocks from the index. The inclusion or exclusion of stocks creates great impact on the value of the firm. However, these changes are simply a short-lived event with no permanent valuation effect. The present research study analyzed the impact of the inclusion into and exclusion of certain stocks from National Stock Exchange (NSE) S&P CNX Nifty index with Indian perspective. The study provides evidence on whether the announcements of Nifty index maintenance committee have any information content. This will also demonstrate the efficiency of Indian stock market with particular reference to NSE. The study revealed that on an average, no permanent effects were observed on stock prices. It is also found from the study that the NSE reacted unfavourably to the inclusion and exclusion of stocks and it is impossible to earn any excess returns where the particular stocks are included or excluded from the index.

scholarly journals The Impact of Risk Anomalies on the Pharmaceutical Sector of the Indian Stock Market. A comparative analysis between pharmaceutical, FMCG and IT companies

2020 ◽  
Vol 71 (2) ◽  
pp. 58-63
Author(s):  
Prakash Pinto ◽  
Iqbal Thonse Hawaldar ◽  
Guruprasad Kemminje ◽  
Babitha Rohit ◽  
Cristi Marcel Spulbar ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Stock Market ◽  
Research Study ◽  
Stock Exchange ◽  
Pharmaceutical Sector ◽  
Research Article ◽  
Fast Moving Consumer Goods ◽  
Indian Stock Market ◽  
The Impact ◽  
It Risk

The main purpose of this research article is to provide a comparative framework on various implications of risk anomalies on Indian stock market based on an empirical study for the following sectors: Pharmaceutical, Fast-Moving Consumer Goods (FMCG) and IT. Risk anomaly is a notable anomaly because it is continual and all-inclusive. This research study aims to examine the existence of risk anomaly in the National Stock Exchange, India, and in particular providing a comparative analysis on the behavior of the pharmaceutical sector in India.

How does investor sentiment impact stock volatility? New evidence from Shanghai A-shares market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dejun Xie ◽  
Yu Cui ◽  
Yujian Liu
Keyword(s):  
Stock Market ◽  
Investor Sentiment ◽  
Chinese Stock Market ◽  
Stock Volatility ◽  
Content Type ◽  
Mixed Frequency ◽  
Frequency Sampling ◽  
The Impact ◽  
New Evidence ◽  
The Relationship

PurposeThe focus of the current research is to examine whether mixed-frequency investor sentiment affects stock volatility in the China A-shares stock market.Design/methodology/approachMixed-frequency sampling models are employed to find the relationship between stock market volatility and mixed-frequency investor sentiment. Principal analysis and MIDAS-GARCH model are used to calibrate the impact of investor sentiment on the large-horizon components of volatility of Shanghai composite stocks.FindingsThe results show that the volatility in Chinese stock market is positively influenced by B–W investor sentiment index, when the sentiment index encompasses weighted mixed frequencies with different horizons. In particular, the impact of mixed-frequency investor sentiment is most significantly on the large-horizon components of volatility. Moreover, it is demonstrated that mixed-frequency sampling model has better explanatory powers than exogenous regression models when accounting for the relationship between investor sentiment and stock volatility.Practical implicationsGiven the various unique features of Chinese stock market and its importance as the major representative of world emerging markets, the findings of the current paper are of particularly scholarly and practical significance by shedding lights to the applicableness GARCH-MIDAS in the focused frontiers.Originality/valueA more accurate and insightful understanding of volatility has always been one of the core scholarly pursuits since the influential structural time series modeling of Engle (1982) and the seminal work of Engle and Rangel (2008) attempting to accommodate macroeconomic factors into volatility models. However, the studies in this regard are so far relatively scarce with mixed conclusions. The current study fills such gaps with improved MIDAS-GARCH approach and new evidence from Shanghai A-share market.

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