scholarly journals The Impact of Margin and Short Selling on Stock Pricing Efficiency – Based on the Growth Enterprise Market and the Science and Technology Innovation Board

2021 ◽  
Vol 292 ◽  
pp. 02051
Author(s):  
Chen Yin Sun
Keyword(s):  
Stock Market ◽  
Technology Innovation ◽  
Negative Impact ◽  
Science And Technology ◽  
Short Selling ◽  
Securities Market ◽  
Pricing Efficiency ◽  
Sample Interval ◽  
Stock Information ◽  
The Impact

This paper takes the margin and short selling targets of the science and technology innovation board and the growth enterprise board of China’s stock market as the research object, and selects the sample interval from July 2019 to November 2020, Uses the unbalanced data panel model, discusses the effect of short selling and margin trading on the pricing efficiency of stock from the perspectives of the reaction speed and information content of stock information. The results show that margin trading is generally beneficial to the improvement of the pricing efficiency of the stock market; the effect of margin trading and short selling on the improvement of pricing efficiency of different stocks is different. The imbalance of power between margin trading and margin trading has a negative impact on the pricing efficiency of the stock market. The conclusion is helpful for subsequent scholars to continue to study the development level of the securities market and provide suggestions for the development direction of China’s securities market.

scholarly journals The impact of FDI on environmental technology innovation from the perspective of environmental regulation

2020 ◽  
Vol 206 ◽  
pp. 02001
Author(s):  
Ziting Wei
Keyword(s):  
Environmental Regulation ◽  
Technology Innovation ◽  
Negative Impact ◽  
Positive Impact ◽  
Inhibitory Effect ◽  
Market Demand ◽  
Environmental Technology ◽  
Industrial Enterprises ◽  
Threshold Regression Model ◽  
The Impact

Based on the perspective of environmental regulation, this paper selects panel data of 30 provinces in China from 2011 to 2016, establishes Hansen panel threshold regression model, and investigates the impact of FDI on environmental technology innovation of industrial enterprises in China under the threshold of environmental regulation. The results show that FDI has a significant inhibitory effect on the environmental technological innovation of industrial enterprises; the effect has a significant dual threshold of environmental regulation, with the intensity of environmental regulation across the threshold, the negative impact of FDI gradually weakened; market demand and industry scale have a significant positive impact, the role of technological progress is not significant. The findings of this paper provide a certain reference for the rational use of environmental regulation policies, the maximization of FDI technology spillover, the promotion of environmental technology innovation of industrial enterprises, and the realization of “win-win” of environment and economy.

STOCK MARKET IN A PANDEMIC, TRENDS IN ITS DEVELOPMENT AND IMPACT ON THE ECONOMIC ENVIRONMENT OF STATES

2021 ◽  
pp. 60-73
Author(s):  
Vladimir M. Gribanich ◽  
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Cash Flows ◽  
The State ◽  
Securities Market ◽  
Source Data ◽  
The Impact ◽  
Graphical Presentation ◽  
Official Information ◽  
Systematic Collection

The article is devoted to the analysis of the development of the stock market, its stages of development and the impact on the economic conjuncture of countries. The relevance of studies on the development of the stock market in modern realities is growing every day, the number of transactions also grows steadily despite the pandemic, and that forms huge cash flows. The purpose of the study carried out in the article is not only to identify the influence of the stock market on the development of countries in modern conditions, but also to conduct a statistical analysis of data reflecting the state of the main stock exchange indices in a pandemic, as well as to assess the state of the securities market in 2019 and 2020 and work out forecasts for its future development. Several methods were used in the work: analysis of official information sources, statistical observation (systematic collection of information), grouping of the source data, their graphical presentation, as well as building diagrams.

scholarly journals THE IMPACT OF OIL PRICE ON STOCK MARKET:EMPIRICAL EVIDENCE FROM US

2021 ◽  
Vol 9 (1) ◽  
pp. 330-337
Author(s):  
Shanaz hakim , Tugut Tursoy,
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Negative Impact ◽  
Positive Impact ◽  
Oil Price ◽  
P Value ◽  
Crude Oil Price ◽  
Crude Oil Prices ◽  
Interactive Relationship ◽  
The Impact

The analysis of this research focuses on the interactive relationship among the fluctuation of crude oil prices, the real GDP and the stock market of United State. This empirical investigation uses data is in between 1990 and 2018 with the Vector Auto-regression (VAR) analysis, and multiple regressions with its assumption were used in order to analyses data.  Findings, oil price and economic growth are very important determinates of stock market in US because the p-value of this were less than the common alpha α =0.05. For instance, the crude oil price had positive impact on stock market because for each unit increasing of crude oil price, the stock market will increase by (0.276901) after holding all other variable constant. However, we find that GDP has negative impact on the participations of increasing the stock market.

scholarly journals Repercussions of COVID-19 on the Indian stock market

2021 ◽  
Vol 5 (S1) ◽  
pp. 1495-1509
Author(s):  
Dhananjay Ashri ◽  
Bibhu Prasad Sahoo ◽  
Ankita Gulati ◽  
Irfan UL Haq
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Banking Sector ◽  
Oil And Gas ◽  
Negative Impact ◽  
Long Run ◽  
Short Run ◽  
Indian Stock Market ◽  
The Impact ◽  
Daily Returns

The present paper determines the repercussions of the coronavirus on the Indian financial markets by taking the eight sectoral indices into account. By taking the sectoral indices into account, the study deduces the impact of virus outbreak on the various sectoral indices of the Indian stock market. Employing Welch's t-test and Non-parametric Mann-Whitney U test, we empirically analysed the daily returns of eight sectoral indices: Nifty Auto, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Oil and Gas, Nifty Pharma, and Nifty Bank. The results unveiled that pandemic had a negative impact on the automobile, FMCG, pharmaceuticals, and oil and gas sectors in the short run. In the long run, automobile, oil and gas, metals, and the banking sector have suffered enormously. The results further unveiled that no selected indices underperformed the domestic average, except NIFTY Auto. 

scholarly journals Stock market liquidity, the great lockdown and the COVID-19 global pandemic nexus in MENA countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anas Alaoui Mdaghri ◽  
Abdessamad Raghibi ◽  
Cuong Nguyen Thanh ◽  
Lahsen Oubdi
Keyword(s):  
Stock Market ◽  
Negative Impact ◽  
Market Liquidity ◽  
Mena Region ◽  
Stock Market Returns ◽  
Content Type ◽  
Mena Countries ◽  
Global Pandemic ◽  
Stock Market Liquidity ◽  
The Impact

PurposeThe purpose of this paper is to investigate the impact of the global coronavirus (COVID-19) pandemic on stock market liquidity, while taking into account the depth and tightness dimensions.Design/methodology/approachThe author used a panel data regression on stock market dataset, representing 314 listed firms operating in six Middle East and North African (MENA) countries from February to May 2020.FindingsThe regression results on the overall sample indicate that the liquidity related to the depth measure was positively correlated with the growth in the confirmed number of cases and deaths and stringency index. Moreover, the market depth was positively related to the confirmed cases of COVID-19. The results also indicate that the liquidity of small cap and big cap firms was significantly impacted by the confirmed number of cases, while the stringency index is only significant for the liquidity depth measure. Moreover, the results regarding sectors and country level analysis confirmed that COVID-19 had a significant and negative impact of stock market liquidity.Research limitations/implicationsThis paper confirms that the global coronavirus pandemic has decreased the stock market liquidity in terms of both the depth and the tightness dimensions.Originality/valueWhile most empirical papers focused on the impact of the COVID-19 global pandemic on stock market returns, this paper investigated liquidity chock at firm level in the MENA region using both tightness and depth dimensions.

The Effect of Capital Structure, Size and Revenue Growth on the Effectiveness of Garment Businesses Listed on Vietnam’s Stock Market

2019 ◽  
Vol 35 (4) ◽  
Author(s):  
Do Huy Thuong ◽  
Tran Luu Ngoc ◽  
Nguyen Thi Phuong Hong
Keyword(s):  
Stock Market ◽  
Capital Structure ◽  
Firm Size ◽  
Business Performance ◽  
Negative Impact ◽  
Short Term ◽  
Return On Equity ◽  
Revenue Growth ◽  
The Impact

Considering the impact of the capital structure on the effectiveness of businesses is extremely important. Therefore, this study is conducted in order to find the influences of capital structure, firm size and revenue growth on the performance of the garment businesses listed on Vietnam stock market in the period of 2013-2018 with the representation of return on equity (ROE). The research with the use of panel data has shown that the ratio of short-term debt on total assets, the firm size and the revenue growth all have positive impacts on business performance. Meanwhile, the ratio of long-term debt on total assets has a negative impact on the performance of garment businesses at the statistically significant level of 5%.

The effect of weather on the European stock market

2016 ◽  
Vol 43 (9) ◽  
pp. 943-958 ◽  
Author(s):  
Nikolaos Sariannidis ◽  
Grigoris Giannarakis ◽  
Xanthi Partalidou
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Negative Impact ◽  
Weather Variables ◽  
Socially Responsible ◽  
Content Type ◽  
Daily Data ◽  
Macroeconomic Indicators ◽  
Significant Negative Impact ◽  
The Impact

Purpose The purpose of this paper is to ascertain whether weather variables can explain the stock return reaction on the Dow Jones Sustainability Europe Index by employing a number of macroeconomic indicators as control variables. Design/methodology/approach The authors incorporate the generalized autogressive conditional heteroskeasticity model in methodology for the period August 26, 2009 to May 30, 2014 using daily data. Findings The empirical results indicate that not only do changes in humidity and wind levels seem to affect positively the European stock market but changes in returns oil and gold prices as well. However, the results show that the volatility of the US dollar/Yen exchange rate and ten-year bond value exerts significant negative impact on companies’ stock returns. Originality/value This study adds to the international literature by documenting the impact of weather variables on socially responsible companies.

The Impact of Air Pollution on the Stock Market in South Korea

2021 ◽  
Author(s):  
◽  
Seongcheol Paeng
Keyword(s):  
Air Pollution ◽  
Stock Market ◽  
South Korea ◽  
Financial Market ◽  
Behavioral Finance ◽  
Negative Impact ◽  
Impulse Response Function ◽  
Weather Factors ◽  
Momentum Strategy ◽  
The Impact

Recently, behavioral finance researchers have produced many articles about moods effect on financial market. Weather factors and sports sentiments have a significant impact on moods and then the moods affect financial market. Air pollution also has an effect on financial market. This paper's hypothesis is that air pollution has a meaningful negative impact on the stock market in South Korea. This paper uses the Granger Causality for checking the significances and the Vector Auto-Regression model and the Impulse Response Function for investigating its impact according to time. Furthermore, this paper uses the 2SLS method for resolving endogeneity problems and checking robustness. If the level of air pollution increases 100 ??/?3, then the stock return reduces 0.42 after one day, and then recovers. The effect is significant at the 1% level and similar with the 2SLS method. Finally, this paper introduces air pollution momentum strategy that maximizes the cumulative return and measures the key variable's performance.

The Impact of Information Security Events on the Stock Value of Firms: The Effect of Contingency Factors

2011 ◽  
Vol 26 (1) ◽  
pp. 60-77 ◽  
Author(s):  
Ali Alper Yayla ◽  
Qing Hu
Keyword(s):  
Information Security ◽  
Stock Market ◽  
Negative Impact ◽  
Denial Of Service ◽  
Future Research ◽  
Event Analysis ◽  
Market Reactions ◽  
Security Breaches ◽  
Stock Market Reactions ◽  
The Impact

The stock market reactions to information technology (IT)-related events have often been used as proxies to the value or cost of these events in the information systems literature. In this paper, we study the stock market reactions to information-security-related events using the event analysis methodology with consideration of the effects of a number of contingency factors, including business type, industry, type of breach, event year, and length of event window. We found that pure e-commerce firms experienced higher negative market reactions than traditional bricks-and-mortar firms in the event of security breach. We also found that denial of service attacks had higher negative impact than other types of security breaches. Finally, security events occurred in recent years were found to have less significant impact than those occurred earlier, suggesting that investors may have become less sensitive to the security events. Most interestingly, our analyses showed that the magnitude and longevity of security breaches vary with time across sub-samples. This raises some serious questions regarding the validity of analyzing only short-term stock market reactions as an indicator of the cost of security breaches, and in general, an indicator of the value of IT-related events. The implications of these results are discussed and potential future research directions are proposed.

scholarly journals Impact of Environmental Regulation Intensity on Green Technology Innovation: From the Perspective of Political and Business Connections

2021 ◽  
Vol 13 (9) ◽  
pp. 4862
Author(s):  
Yu-Hong Ai ◽  
Di-Yun Peng ◽  
Huan-Huan Xiong
Keyword(s):  
Environmental Regulation ◽  
Technology Innovation ◽  
Negative Impact ◽  
Early Stage ◽  
Green Technology ◽  
Political Connections ◽  
Long Run ◽  
Business Connections ◽  
The Impact ◽  
The Relationship

With heavy air pollution and the highest CO2 emissions in the world, China is in urgent need of technology innovation to improve the energy efficiency and control the pollution emission. This study empirically investigates the impact of environmental regulation intensity, political connections, and business connections on green technology innovation in China’s firms. The authors employ a panel data regression analysis on a dataset that comprises 884 observations for A-share listed companies from 2016 to 2019, owing to the availability of data. The results show: (1) Environmental regulation intensity (ERI) has a U-shaped effect on green technology innovation (GTI), which means GTI is inhibited by ERI in the early stage but gets promoted in the long run; (2) Political connections positively moderate the relationship between ERI and GTI mainly because of crowding-out effect and resource effect; (3) Business connections have a negative impact on the relationship between ERI and GTI, resulting from knowledge acquisition and lock-in; (4) Business connections have a greater moderating effect than political connections probably because political ties lack an effective mechanism to ensure long-term cooperation with the enterprises; (5) However, with regard to those firms in the non-heavily polluting industry, both connections moderate the relationship between ERI and GTI in an opposite direction to the main effect. The research results help policy makers formulate relevant policies, based on the impact of environmental regulation and social connections on green technology innovation.

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