scholarly journals Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example

2021 ◽  
Vol 235 ◽  
pp. 01072
Author(s):  
Chunmiao Ren
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Information Dissemination ◽  
Fixed Effect Model ◽  
Dominant Factor ◽  
Price Fluctuation ◽  
Information Efficiency ◽  
Effect Model ◽  
Negative Sentiment ◽  
The Impact

Whether the stock price fluctuation in emerging markets such as China is dominated by “information efficiency” or “noise” has aroused many scholars’ disputes. Based on the “SSE e interaction” Q & A data, this paper uses the fixed effect model to study the impact of “SSE e interaction” on the stock price synchronization from 3 perspectives: the lag of the company’s response, the pertinence and the negative emotional tendency of investors. The research found that the targeted response of listed companies to investors’ questions in the “SSE e interaction” significantly improved the synchronization of stock prices, and the lag of the response may be the result of selective and tendentious information dissemination. The negative sentiment of investors has certain information content, but excessive negative sentiment may bring noise to the market. Our research shows that information and “noise” coexist in China’s capital market, but “noise” is still the dominant factor in stock price fluctuations.

scholarly journals The Impact of Dividend Policy on Stock Price Volatility in Pakistan

2019 ◽  
Vol IV (I) ◽  
pp. 506-515
Author(s):  
Ziaullah Shah ◽  
Shehzad Khan ◽  
Muhammad Faizan Malik
Keyword(s):  
Panel Data ◽  
Stock Price ◽  
Dividend Policy ◽  
Price Volatility ◽  
Fixed Effect Model ◽  
Share Prices ◽  
Dividend Payments ◽  
Effect Model ◽  
Dividend Irrelevance ◽  
The Impact

The objective of this study is to inspect dividend policy influence on volatility of share prices. For investigation seven Non-financial segment/sectors have been selected. A sample of 137 firms who paid four dividend payments listed at PSX is analysed for the period of 2007-2017.Proxy for policy of dividend are earning per share, Payout ratio, dividend yield, while assets growth and firm size are taken as control variables. OLS regression model has been initially applied on panel data. The outcomes of fixed effect model are focused. Overall outcomes of the study confirmed that prices of stock is significantly influenced by policy of dividend and reject dividend irrelevance theory.

scholarly journals Performance Analysis of Multinational M&A of Listed Companies--Based on Zipf Stock Price-Fundamentals Dynamic Evaluation Model’s Construction

2018 ◽  
Vol 10 (7) ◽  
pp. 64
Author(s):  
Wenjie Liu
Keyword(s):  
Stock Price ◽  
Evaluation Model ◽  
Listed Companies ◽  
Fixed Effect Model ◽  
Cumulative Distribution ◽  
Dynamic Evaluation ◽  
Effect Model ◽  
Before And After ◽  
Abnormal Rate ◽  
The Impact

In this paper, the multinational M&A of listed companies are taken as the research objects. The Stock Price-Fundamentals Dynamic Evaluation Model (SF-DEM) based on Zipf’s law is constructed. Through the complementary cumulative distribution, we analyze the stock price and fundamentals distribution and changes of listed companies before and after multinational M&A. The two-way fixed effect model is introduced to verify the SF-DEM model. The research shows that multinational M&A have got a positive response from the market. Short-term average cumulative abnormal rate of return reached 2.8% after the announcement day, which had a long-term synergy and promoted companies’ value; As investors expected that high-priced stocks have a poorer growth and higher thresholds, multinational M&A have a significant and lasting effect on the low-priced companies, while the impact on high-priced stocks is small and short; 80% of the price changes were determined by fundamentals, and reached 85% after M&A. Multinational M&A enhances investors’ expectations and then shows the value investment trends. 80/20 law is not affected by M&A, companies have strong heterogeneity and large differences.

scholarly journals Impact of Dividend Policy on Share Price Evidence from Textile Sector PSX-100 Index

2018 ◽  
Vol III (IV) ◽  
pp. 616-630
Author(s):  
Sanaullah Khan ◽  
Muhammad Faizan Malik ◽  
Shehzad Khan
Keyword(s):  
Stock Price ◽  
Dividend Policy ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Share Price ◽  
Empirical Estimation ◽  
Effect Model ◽  
Independent Variable ◽  
The Impact ◽  
The Relationship

This paper attempts to determine the impact of dividend policy on stock price in Pakistan. A sample of 20 textile listed companies in PSX is examined for a period from 2010 to 2017. The empirical estimation is based on a panel regression analysis of the relationship between dividend policy and share price and also used fixed effect model. Secondary data were used by the researcher in the study. The study has taken share price as a dependent variable while the dividend policy is an independent variable. The dividend policy was measure by different proxy such as SDS, DPR, EPS, PAT and ROE. The result explained that the ROE and EPS have significant positive relationship with share price while the SDS, PAT and DPR have negative association with share price. Although the results are not robust enough as in the case of developed markets but are consistent with the behavior of emerging markets

scholarly journals Investor Attention and Stock Market under the Outbreak of the COVID-19-Based on the Data of Mask Concept Stocks

2020 ◽  
Vol 214 ◽  
pp. 02024
Author(s):  
Bokai Zhang ◽  
Xuan Wang ◽  
Meng Rao
Keyword(s):  
Stock Prices ◽  
Least Squares Method ◽  
Positive Impact ◽  
Investor Sentiment ◽  
Fixed Effect Model ◽  
Rate Of Return ◽  
Investor Attention ◽  
Effect Model ◽  
The Impact ◽  
Medical Material

With the outbreak of the COVID-19 epidemic, masks have become an important medical material widely concerned by society, which also affects investor sentiment and mask concept stock prices. This article focuses on the impact of investor attention on the rate of return of mask concept stocks. Through the establishment of a panel fixed effect model, it is found that during the epidemic, investor attention to masks has a significant positive impact on the rate of return on mask concept stocks. Then, this article takes the epidemic-related indicators as instrumental variables and uses a two-stage least squares method to carry out the endogenous test, which further verifies the above conclusions and finally puts forward reasonable suggestions.

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 Optimal feedback control of stock prices under credit risk dynamics

2021 ◽  
Author(s):  
Jinghai Shao ◽  
Sovan Mitra ◽  
Andreas Karathanasopoulos
Keyword(s):  
Credit Risk ◽  
Stock Prices ◽  
Stock Price ◽  
Global Financial Crisis ◽  
Optimal Feedback Control ◽  
Dynamic Programming Principle ◽  
Price Model ◽  
Managerial Control ◽  
Optimal Feedback ◽  
The Impact

AbstractIn this paper we provide a stock price model that explicitly incorporates credit risk, under a stochastic optimal control system. The stock price model also incorporates the managerial control of credit risk through a control policy in the stochastic system. We provide explicit conditions on the existence of optimal feedback controls for the stock price model with credit risk. We prove the continuity of the value function, and then prove the dynamic programming principle for our system. Finally, we prove the Viscosity Solution of the Hamilton–Jacobi–Bellman equation. This paper is particularly relevant to industry, as the impact of credit risk upon stock prices has been prominent since the commencement of the Global Financial Crisis.

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.

The Impact of the Credit Channel on Macroeconomic Variables and Bank Characteristics in the Brazilian Economy from 2009 to 2018

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Mohammad Farajnezhad
Keyword(s):  
Monetary Policy ◽  
Fixed Effect Model ◽  
Credit Channel ◽  
Macroeconomic Variables ◽  
Brics Countries ◽  
Effect Model ◽  
Level Data ◽  
Monetary Policy Transmission Mechanism ◽  
The Interest Rate ◽  
The Impact

This article uses commercial bank-level data to examine a credit channel of the monetary policy transmission mechanism in the Brazilian economy from BRICS countries.  Static panel data with a fixed-effect model are used for data analysis. Using a sample of 212 commercial banks from 2009 to 2018. According to the findings of this study, there is a significant and positive relationship between macroeconomic variables that affect the interest rate and GDP with the loan amount, but not with the inflation rate. Also, it is reasonable to conclude that banks in Brazil react to monetary policy in a variety of ways.

Market reactions to the inclusion of people with disabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudia Araceli Hernández González
Keyword(s):  
Event Study ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
People With Disabilities ◽  
Market Reactions ◽  
Content Type ◽  
Study Methodology ◽  
Research Advance ◽  
The Impact

PurposeThis study aims to provide evidence of market reactions to organizations' inclusion of people with disabilities. Cases from financial journals in 1989–2014 were used to analyze the impact of actions taken by organizations to include or discriminate people with disabilities in terms of the companies' stock prices.Design/methodology/approachThis research is conducted as an event study where the disclosure of information on an organization's actions toward people with disabilities is expected to impact the organization's stock price. The window of the event was set as (−1, +1) days. Stock prices were analyzed to detect abnormal returns during this period.FindingsResults support the hypotheses that investors value inclusion and reject discrimination. Furthermore, the impact of negative actions is immediate, whereas the impact of positive actions requires at least an additional day to influence the firm's stock price. Some differences among the categories were found; for instance, employment and customer events were significantly more important to a firm's stock price than philanthropic actions. It was observed that philanthropic events produce negative abnormal returns on average.Originality/valueThe event study methodology provides a different perspective to practices in organizations regarding people with disabilities. Moreover, the findings in this research advance the literature by highlighting that organizations should consider policies and practices that include people with disabilities.

scholarly journals Impact of Financial Ratios on Stock Price: Evidence from Indian Listed Banks on NSE

2021 ◽  
Vol 11 (4) ◽  
pp. 5132-5144
Author(s):  
Nitish Rane ◽  
Pooja Gupta
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Banking Sector ◽  
Study Data ◽  
Capital Adequacy ◽  
Financial Ratios ◽  
Annual Reports ◽  
Earnings Per Share ◽  
Net Interest Margin ◽  
The Impact

This study aims to examine the impact of financial ratios on the stock prices of companies listed on NIFTY Bank. Nifty Bank is a sub-index of NIFTY 50 and has various listed banks included based on the criteria given by NSE. This study data has been taken from the period 2010-2019 and taken from the company annual reports. The analysis is done using panel data regression and other tests to verify the best model for the dataset. The results obtained from this study show that the capital adequacy ratio and the dividend payout ratio do not impact the stock price. In contrast, earnings per share, net NPA ratio, and basic earnings per share, net profit margin, and net interest margin exhibited a relationship with the stock price. In the Indian context, there is less research available on this topic, and the idea chosen for the study is original. Along with this, the data collected for the study and the code used for analysis is original work. New investors can use the results of this study in the Indian stock market to analyze a stock and take proper investment decisions. Another practical usage of this study is that banking sector companies can improve their ratios to attract new investors.

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