scholarly journals The Effect of Daily Stock Price Limits on the Investment Risk: Evidence from the Egyptian Stock Market

2017 ◽  
Vol 6 (4) ◽  
pp. 1 ◽  
Author(s):  
Mai Ahmed Abdelzaher ◽  
Khairy Elgiziry
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Positive Relationship ◽  
Descriptive Analysis ◽  
Negative Relationship ◽  
Fair Value ◽  
Price Limits ◽  
Stock Volatility ◽  
Closing Price

The study aims to investigate the relationship between daily price limits and stock volatility, trading volume, delayed adjustment of stock prices, and its fair value. To achieve this goal, we used the data of the listed firms in EGX30. We analyzed the data using descriptive analysis then we applied General linear model, ARCH and GARCH models. Based on our analysis results show a positive relationship between upper daily limit and stock volatility, a positive relationship between daily price limits (upper limit- lower limit) and trading volume, a positive relationship between upper daily limit and the return between the closing price and the opening price on the same day, a positive relationship between lower daily limit and the return between the closing price and the opening price in the next day, a negative relationship between upper daily limit and the return between the closing price and the opening price in the next day, and a positive relationship between daily stock price limits and the fair value.

Does the Fed Impact Stock Prices?

2019 ◽  
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Stock Prices ◽  
Positive Relationship ◽  
Negative Impact ◽  
Negative Relationship ◽  
Fair Value ◽  
Equity Returns ◽  
Equity Prices ◽  
The Us

The influence of the Fed’s actions on equity prices has been a source of significant speculation in recent years. This article uses a well-regarded measure for the “fair” value of interest rates to measure the degree to which the Fed is influencing interest rate and then relates that level of interference to equity returns. We find that Fed’s actions are correlated with a modest negative impact on US equity prices—that is Fed interference has a slight negative relationship with broader equity returns. In contrast, outside the US, Central Bank interference generally has a stronger positive relationship to equity returns.

scholarly journals Is Abnormally Large Volume a Clue?

2016 ◽  
Vol 8 (9) ◽  
pp. 226
Author(s):  
Tsung-Hsun Lu ◽  
Jun-De Lee
Keyword(s):  
Stock Market ◽  
Large Volume ◽  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Sensitive Analysis ◽  
Support Level ◽  
Out Of Sample ◽  
Sample Test ◽  
Abnormal Trading Volume

This paper investigates whether abnormal trading volume provides information about future movements in stock prices. Utilizing data from the Taiwan 50 Index from October 29, 2002 to December 31, 2013, the researchers employ trading volume rather than stock price to test the principles of resistance and support level employed by technical analysis. The empirical results suggest that abnormal trading volume provides profitable information for investors in the Taiwan stock market. An out-of-sample test and a sensitive analysis are conducted for the robustness of the results.

scholarly journals Financial Markets’ Governance, Transparency and Informational Efficiency: Role of IfRS Norms, Auditors and Financial Analysts

2016 ◽  
Vol 9 (5) ◽  
pp. 100
Author(s):  
Imen Lamiri ◽  
Adel Boubaker
Keyword(s):  
Financial Markets ◽  
Stock Prices ◽  
Stock Price ◽  
Financial Analysts ◽  
Negative Relationship ◽  
Developed Countries ◽  
Coefficient Of Determination ◽  
Specific Information ◽  
Informational Efficiency

<p>This article explores the informational role of three essential modern financial markets actors such IFRS norms, the Big”4” and the financial analysts for a panel of emergent and developed countries during the period from 2001 to 2010. We hypothesis that these mechanisms help improving the quality of specific information incorporated into stock prices measured by the stock price synchronicity (SPS). The main result is that both financial analyst’s coverage and IFRS adoption's effects seem to be stronger for emerging than developed markets. The results also show a negative relationship between auditors’ opinion and coefficient of determination (R<sup>2</sup>).</p>

scholarly journals PENGARUH VOLUME PERDAGANGAN DAN SIMPLE MOVING AVERAGE TERHADAP HARGA SAHAM

2020 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
Gama Paksi Baskara ◽  
Suyanto Suyanto ◽  
Sri Retnaning Rahayu
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Qualitative Data ◽  
Moving Average ◽  
Analytical Tool ◽  
T Test ◽  
Quantitative Approach ◽  
F Test ◽  
Regression Tests

Trading volume is a sheet of company shares traded on a particular transaction and has beenagreed between the seller and the buyer, Simple Moving Average is a method that studies themovement of the previous stock price based on the number of certain days in order to predict thestock price that will occur to the next.The objective of the study is to find out how much influenceTrade Volume and Simple Moving Average on Stock Prices is and what are the most dominantaspects in influencing Stock Prices. The type of the research uses a quantitative approach, namely anapproach in which the data are in the form of numbers or qualitative data that have been used asnumbers. The technique of collecting data uses documentation. The analytical tool used is multiplelinear regression tests including T Test, F Test and Coefisein R² Determination processed usingEviews. The results of the study show that partially the trading volume variable does not have asignificant effect on Stock Prices and the Simple Moving Average variable shows a positive andsignificant effect on stock prices while the results of the research simultaneously show that theTrading Volume and Simple Moving Average variables simultaneously affect the Stock Price .

Analisis Pengaruh Tingkat Harga Saham, Return Saham, dan Volume Perdagangan Saham terhadap Stock Split ISSI Periode 2015– 2020

2021 ◽  
Vol 4 (2) ◽  
pp. 234-245
Author(s):  
Farhan Maulana ◽  
Ahmad Mulyadi Kosim ◽  
Abrista Devi
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Return ◽  
Positive Impact ◽  
Secondary Data ◽  
Normality Test ◽  
Stock Split ◽  
Before And After ◽  
Sample Test

For companies that collect funds from the public through capital from capital market, it can be used to meet capital needs and finance the company’s operation. So that company is expected not to rely on commercial debt financing both from within the country and abroad. With stock split, it is hoped that it will increase investors’ interest in buying affordable shares. This study aims to determine whether the stock split has an effect on stock prices, trading volume, and stock return. The method used by the researcher uses quantitative secondary data methods by using descriptive statistical data test, then use the kolgomorov smirnov normality test, and using theaverage paired sample test. The results of this research is that: 1) stock price have a significant effect after the stock split occurs, 2) while the trading volume has no significant effect after the stock split occours, 3)  then stock return has a siginificant impact before and after the stock split because it is expected to have a positive impact for issuers and investors.

scholarly journals Causal Relation Between Stock Market Performance and Firm Investment in China: Mediating Role of Information Asymmetry

SAGE Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 215824401988514
Author(s):  
Ghulam Hussain Khan Zaigham ◽  
Xiangning Wang ◽  
Haji Suleman Ali
Keyword(s):  
Information Asymmetry ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Causal Relation ◽  
Negative Relationship ◽  
Manufacturing Firms ◽  
Price Performance ◽  
Stock Market Performance ◽  
The Impact

The main objectives of this study are to examine the impact of stock price performance on firm’s investment and to investigate the counter impact of changes in investment expenditures on stock price performance. The random effects model was applied on the panel data of Chinese manufacturing firms listed at the Shanghai Stock Exchange and the Shenzhen Stock Exchange during the period 2002 to 2016. The sample contains 398 firms with 5,970 observations. Although there is a statistically significant and negative relationship between stock price and investment expenditures, the impact of stock price on investment expenditures is far greater than that of investment expenditures on stock price. Information asymmetry positively mediates both investment sensitivity to stock prices and stock prices sensitivity to investment. This study is a valuable contribution toward the analysis of investment decision making by manufacturing firms in China. It also provides guidelines for investors to assess the informational status of the capital market before making investment decisions and to comprehensively understand the different decisions made by firms with regard to the issue of new stocks and the indirect information attached with such issues.

scholarly journals H7N9 not only endanger human health but also hit stock marketing

2017 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Wenjie Sun
Keyword(s):  
Avian Influenza ◽  
Stock Prices ◽  
Stock Price ◽  
Composite Index ◽  
Economic Loss ◽  
Chinese Traditional Medicine ◽  
Biological Product ◽  
Distributed Lag ◽  
Closing Price ◽  
Case Number

Objective: This study aims to discuss the correlation between daily reported H7N9 cases and stock price indices in China. Methods: Information on daily reported H7N9 cases and stock market sectors indices between February 19, 2013 and March 31, 2014 were collected. A distributed lag non-linear model was used to describe the variation trend for the stock indices Results: The daily reported number of H7N9 cases was associated with the closing price of the Avian Influenza Sector Index (P < 0.05) and the opening price of the Shanghai Composite Index (P = 0.029). The Avian Influenza Sector Index decreased with increasing of daily reported case number when daily reported cases ? 4. Case number was associated with the opening/closing price of the Chinese Traditional Medicine Sector Index, the Biological Product Sector Index, and the Biomedicine Sector Index (P < 0.05). Conclusion: New or reemerging infectious diseases epidemic cause economic loss which is reflected in movements in stock prices.

Analysis of Institutional Factors Affecting Share Prices: The Case of National Stock Exchange

2018 ◽  
Vol 19 (3) ◽  
pp. 707-721 ◽  
Author(s):  
Neeraj Nautiyal ◽  
P. C. Kavidayal
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Transition Period ◽  
Stock Exchange ◽  
Market Price ◽  
Negative Relationship ◽  
Value Added ◽  
Price Variation ◽  
Wide Range ◽  
The Impact

This study offers empirical findings on the impact of institutional variables on firm’s stock market price performance. In order to identify the influence of companies financial on NIFTY 50 Index, our sample consists of balanced panel of 30 actively traded companies (that becomes the study’s index representative) over a massive transition period, 1995–2014. Attempts have been made with a wide range of econometric models and estimators, from the relatively straightforward to (static) more complex (dynamic panel analyses) to deal with the relevant econometric issues. Results indicate that increasing debt in capital structure does not establish any significant relation with the stock prices. Earnings per share (EPS) shows a poor explanation of price variation. Economic value added (EVA) indicates a positive relation with current as well as previous year’s stock price performances. However, dividend payout (DIVP) and dividend per share (DPS) achieve negative relationship at moderately significant level. The present study confirms that performance of companies fundamental ratios will be essential and immensely helpful to investors and analysts in assessing the better stocks that belong to different industry groups.

scholarly journals Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity

2017 ◽  
Vol 2017 ◽  
pp. 1-15
Author(s):  
Songtao Wu ◽  
Jianmin He ◽  
Chao Wang
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Positive Relationship ◽  
Intrinsic Value ◽  
Common Factors ◽  
Information Capacity ◽  
Limited Information ◽  
Agent Based ◽  
Information Characteristics

An artificial stock market with agent-based model is built to investigate effects of different information characteristics of common factors on the dynamics stock returns. Investors with limited information capacity update their beliefs based on the information they have obtained and processed and optimize portfolios based on beliefs. We find that with changing of concerned information characteristics the uncertainty of stock price returns rises and is higher than the uncertainty of intrinsic value returns. However, this increase is constrained by the limited information capacity of investors. At the same time, we also find that dependence between returns of stock prices also increased with the changing information environment. The uncertainty and dependency pertaining to prices show a positive relationship. However, the positive relationship is weakened when taking into account the features of intrinsic values, based on which prices are generated.

scholarly journals Market Reaction Analysis of Annual Report Award Announcement: An Event Study Using Abnormal Return, Trading Volume Activity, and Stock Price

2020 ◽  
Vol 4 (1) ◽  
pp. 340
Author(s):  
Fitri Astuti ◽  
Anggi Setya Prayoga
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Abnormal Return ◽  
Trading Volume ◽  
Annual Report ◽  
Market Reaction ◽  
Abnormal Returns ◽  
Volume Activity ◽  
Event Window ◽  
Before And After

This study intends to examine the differences in market reaction around the announcement of the Annual Report Award which is not only measured by abnormal return but is also measured using trading volume activity and stock prices. The data used are quantitative data in the form of a list of companies that received the Annual Report Award for the 2015-2018 period, the daily closing price of the ARA-winning company in the event window, the composite stock price index, the number of shares traded, and the number of shares outstanding. The event window is selected for 11 days because the long window period will blend with the effects of other events or confounding effects. The results of the study concluded that the market reacted around the announcement of the Annual Report Award for the 2015-2018 period measured using abnormal returns, trading volume activity, and stock prices. There is no difference in abnormal returns before and after the announcement of the 2013-2016 Annual Report Award period. Instead there are differences in trading volume activity and stock prices before and after the announcement of the Annual Report Award for the 2015-2018 period.

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