scholarly journals Value Correlation of Deferred Income Tax In Industrialization

CONVERTER ◽  
2021 ◽  
pp. 129-143
Author(s):  
Tao Zhang, Wanzhen Yu
Keyword(s):  
Stock Prices ◽  
Income Tax ◽  
Stock Price ◽  
Negative Impact ◽  
Positive Impact ◽  
Good News ◽  
Earnings Per Share ◽  
Long Run ◽  
Adjustment Variable ◽  
The Impact

This paper collects 2670 deferred income tax samples from 211 listed industrial companies that have been surviving and continuously disclosing deferred income tax accounting information from 2007 to 2019. On the basis of ohlson model, earnings per share and net flow of operating activities per share are added as adjustment variables to analyze the impact of deferred income tax on stock prices. The results show that:(1) In the long run, DTAs are positively correlated with enterprise stock prices, while DTLs are negatively correlated with enterprise stock prices; (2) After adding the adjustment variable earnings per share, it is found that when EPS level is high, DTAs have a slightly downward negative impact on stock prices, while DTLs have little negative impact on stock prices. When EPS level is low, DTAs have a positive impact on stock prices, while lower earnings per share will accelerate the negative impact of DTLs on stock prices. (3) After adding the adjustment variable CFO, it is found that only when the CFO is sufficient, DTAs are really good news. It has a positive impact on stock price. If the CFO is poor, the positive impact of recognized DTAs on stock price is almost zero. In addition, when the CFO is high, the negative impact of DTLs on price will be accelerated.

Terrorism and Stock Market Linkages: An Empirical Study from a Front-line State

2017 ◽  
Vol 18 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Imtiaz Arif ◽  
Tahir Suleman
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Negative Impact ◽  
Stock Exchange ◽  
Series Data ◽  
Front Line ◽  
Long Run ◽  
Factor Index ◽  
The Impact

This article investigates the impact of prolonged terrorist activities on stock prices of different sectors listed in the Karachi Stock Exchange (KSE) by using the newly developed terrorism impact factor index with lingering effect (TIFL) and monthly time series data from 2002 (January) to 2011 (December). Johansen and Juselius (JJ) cointegration revealed a long-run relationship between terrorism and stock price. Normalized cointegration vectors are used to test the effect of terrorism on stock price. Results demonstrate a significantly mixed positive and negative impact of prolonged terrorism on stock prices of different sectors and show that the market has not become insensitive to the prolonged terrorist attacks.

scholarly journals The Impact of Economic Agents Perceptions on Stock Price Volatility

2015 ◽  
Vol 63 (4) ◽  
pp. 1229-1234
Author(s):  
Jaroslav Bukovina
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Negative Impact ◽  
Positive Impact ◽  
Price Volatility ◽  
Investment Strategy ◽  
Economic Agents ◽  
Market Indexes ◽  
The Impact

This paper studies perceptions of economic subjects and its impact on stock prices. Perceptions are represented by stock market indexes and Facebook activity. The contribution of this paper is twofold. In the first place, this paper analyzes the unique data of Facebook activity and proposes the methodology for employment of social networks as a proxy variable which represents the perceptions of information in society related to the specific company. The second contribution is the proposal of potential link between social network principles and theories of behavioral economics. Overall, the author finds the negative impact of Facebook activity on stock prices and the positive impact of stock market indices. The author points the implications of findings to protection of company reputation and to investment strategy based on the existence of undervalued stocks.

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.

scholarly journals How Do Corporate Social Responsibility and Corporate Governance Affect Stock Price Crash Risk?

2020 ◽  
Vol 13 (2) ◽  
pp. 30 ◽  
Author(s):  
Ahmed Imran Hunjra ◽  
Rashid Mehmood ◽  
Tahar Tayachi
Keyword(s):  
Corporate Governance ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Stock Price ◽  
Negative Impact ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Crash Risk ◽  
Corporate Social ◽  
The Impact

We investigate the impact of corporate social responsibility (CSR) and corporate governance on stock price crash risk in manufacturing sector of India and Pakistan. We collect data of nine years from 2010 to 2018 from DataStream of 353 manufacturing firms. We apply the Generalized Method of Moments (GMM) to the analysis of the data. We find that when firms actively engage in CSR activities, they lead to reduced stock price crash risk. We further find that managerial ownership has a significant positive impact on stock price crash risk, while board size and CEO duality show a significant and negative impact on stock price crash risk.

The impact of Iran Central Bank’s sanction on Tehran Stock Exchange

2017 ◽  
Vol 59 (3) ◽  
pp. 365-375 ◽  
Author(s):  
Mahdi Salehi ◽  
Mostafa Karimzadeh ◽  
Navid Paydarmanesh
Keyword(s):  
Central Bank ◽  
Stock Price ◽  
Negative Impact ◽  
Stock Exchange ◽  
Oil Prices ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
Positive Effect

Purpose US sanctions have been a major feature of US Iran policy since Iran’s 1979 Islamic revolution, but the imposition of UN and worldwide bilateral sanctions on Iran that began in 2006 and increased dramatically as of 2010 is recent by comparison. The objectives of US sanctions have evolved over time. Broad international sanctions imposed on Iran harmed Iran’s economy and contributed to Iran’s acceptance of agreements that exchange constraints on its nuclear program for sanctions relief. The subject of this study is important because both Iran and the international communities are demanding for information about the effect of sanctions on Iran. In an international and regional perspective, it seems that sanctions have a negative impact on economic, social and even political status of Iran. Therefore, this paper aims to examine the impact of Iran Central Bank sanction on Tehran Stock Exchange as on December 31, 2011. Design/methodology/approach Variables of model are consisted by exchange rate, oil prices and Tehran Stock Exchange Price Index (TEPIX) from October 2, 2011 to March 29, 2012, which is offered daily. To analyze the model, the authors used Johansen–Juselius and Autoregressive Distributed Lag (ARDL) methods. Findings The results indicate that there is a long-run equilibrium relationship between selected variables as oil prices, and exchange rates have a positive effect on the TEPIX. In other words, the results of the econometric estimation show the positive effect of the Iran Central Bank sanction on the TEPIX. Thus, because of economic sanctions imposed by the Western countries, Tehran Stock Exchange has been growing. Originality/value No empirical research exists that examines the impact of sanctions on stock price in developing countries. This study fills this gap by examining the links between sanctions and stock price in Iran.

Real Effective Exchange Rate, Broad Money Supply, and Trade Balance in Vietnam: An Empirical Analysis from Bounds Test to a Cointegration Approach

2020 ◽  
Author(s):  
Kieu Oanh Dao ◽  
V.C. Nguyen ◽  
Si Tri Nhan Dinh
Keyword(s):  
Exchange Rate ◽  
Money Supply ◽  
Trade Balance ◽  
Negative Impact ◽  
Positive Impact ◽  
Real Effective Exchange Rate ◽  
Long Run ◽  
Effective Exchange ◽  
Effective Exchange Rate ◽  
The Impact

This paper aims to investigate the impact of the real effective exchange rate and broad money supply on the trade balance in Vietnam using quarterly data from the first quarter of 2000 to the fourth quarter of 2018. Using the ARDL-ECM approach to investigate this effect, a cointegration relationship exists between real effective exchange rate, broad money supply and trade balance. Results demonstrate that real effective exchange rate has a short-term negative impact on trade balance. Additionally, broad money supply has a positive impact on trade balance in the short run and long run with a very weak effect. Surprisingly, it was found that real foreign income and local income have no impact on trade balance.

scholarly journals Institutional Investment Constraints and Stock Prices

2017 ◽  
Vol 52 (2) ◽  
pp. 465-489 ◽  
Author(s):  
Jie Cao ◽  
Bing Han ◽  
Qinghai Wang
Keyword(s):  
Portfolio Management ◽  
Stock Prices ◽  
Stock Price ◽  
Bad News ◽  
Good News ◽  
Stock Return Predictability ◽  
Institutional Investment ◽  
Price Momentum ◽  
The Impact ◽  
Investment Constraints

We test the hypothesis that investment constraints in delegated portfolio management may distort demand for stocks, leading to price underreaction to news and stock return predictability. We find that institutions tend not to buy more of a stock with good news that they already overweight; they are reluctant to sell a stock with bad news that they already underweight. Stocks with good news overweighted by institutions subsequently significantly outperform stocks with bad news underweighted by institutions. The impact of institutional investment constraints sheds new light on asset pricing anomalies such as stock price momentum and post–earnings announcement drift.

scholarly journals The Impact of Disclosure Sentiment on the Share Prices of Russian Companies

2021 ◽  
Vol 15 (2) ◽  
pp. 5-15
Author(s):  
Maksim Kopyrin ◽  
Iuliia Naidenova
Keyword(s):  
Stock Prices ◽  
Information Disclosure ◽  
Stock Price ◽  
Positive Impact ◽  
News Item ◽  
Marginal Effect ◽  
Share Prices ◽  
Stock Price Reaction ◽  
Tone Level ◽  
The Impact

Information about companies published in a news feed is invariably tinted by emotional tonality. As such, resultingperceptions may influence the opinion of market players, and consequently affect the dynamics of a company’s shareprice. This study aims to evaluate various hypotheses about the impact of the tone of news items regarding dividends,capital expenditures, and development on the stock prices of Russian companies. Information disclosure is extensivelystudied, and there have been limited studies on the effect of disclosures on Russian companies. However, until now, therehave been no research studies which verify hypotheses on the influence of news sentiment on corporate share prices inthe Russian market. This analysis was conducted using data from 49 Russian public companies included in the Moscow exchange indexover the period from the end of 2017 to the beginning of 2019. To account for the proximate impact of news items onconsequential market phenomena, an event study methodology was applied in order to estimate and construct themodels of dependency of cumulative abnormal return (CAR) on news tone level, and control for financial and nonfinancialfactors. Our results provide evidence for the positive impact of the tone of news texts on the share prices of Russian companies.The increase in news tone by one standard deviation leads to a cumulative abnormal stock return increase of 0.26percentage points. This result is consistent with previous research conducted on data from developed stock markets.Moreover, the relationship between the tone or sentiment level of a news item and the stock price reaction is linear,without the diminishing marginal effect. Our conclusions should prompt companies to invest effort in delivering information in a tonally positive way,highlighting the most positive news. Investors, in turn, should rationally approach the interpretation of publishedinformation.

Effect of advertising expenditures on analyst coverage: evidence from an emerging market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Omar Farooq ◽  
Harit Satt ◽  
Fatimazahra Bendriouch
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Positive Impact ◽  
Emerging Market ◽  
Ordinary Least Squares ◽  
Information Asymmetries ◽  
Analyst Coverage ◽  
Content Type ◽  
The Impact ◽  
Advertising Activity

PurposeThis paper aims to document the relationship between advertising expenditures and analyst coverage in a sample of Indian firms during the period between 2000 and 2019.Design/methodology/approachIn order to test the effect of advertising expenditures on the extent of analyst coverage, the authors estimate various versions of pooled ordinary least squares (OLS) regression. The dependent variable (ANALYST) measures the total number of analysts covering a firm in a given year. The main independent variable of interest in this paper represents the advertising activity. The authors define the extent of advertising activity (ADVERT) as the ratio of total advertising expenditures and total assets.FindingsThe study’s results show that advertising expenditures have a significantly positive impact on the extent of analyst coverage and are robust across various proxies of the key variables and various estimation procedures.Practical implicationsThere are a number of key takeaways from our study. First, firms that expend more resources on advertising are more likely to be followed by analysts which is associated with better performance, lower information asymmetries associated and high advertising expenditures. Second, stock prices with more information embedded in them may signify that these firms receive more attention from investors and have lower information asymmetries. And finally the impact of advertising on the decision of an analyst to cover a firm becomes more pronounced for firms with high stock price synchronicity. All these three main conclusions are giving investors a clear insight on analyst coverage, advertising expenditure and the link between the two.Originality/valueThe results are consistent with the argument that advertising expenditures induces analysts to cover firms because firms with high advertising activities are more likely to have better performance, lower information asymmetries and increased attention from investors. All of these factors are supposed to facilitate the analyst coverage.

A Causal Analysis between Construction Flows and Economic Growth: Evidence from India

2011 ◽  
Vol 12 (2) ◽  
pp. 27-42
Author(s):  
Aviral Kumar Tiwari
Keyword(s):  
Economic Growth ◽  
Standard Deviation ◽  
Structural Breaks ◽  
Negative Impact ◽  
Positive Impact ◽  
Causality Test ◽  
Positive Direction ◽  
Dynamic Framework ◽  
Long Run ◽  
The Impact

The study examined the causal relationship between construction flows and economic growth under a static and dynamic framework by employing the Engel-Granger and IRFs approach with incorporation of endogenously determined structural breaks. The static causality test result provided the evidence of bidirectional Granger-causality between construction flows and economic growth in India. The dynamic causality analysis indicated that for the first ten years, a standard deviation innovation in construction had positive impact on the GDP, while the long-run impact was negative. However, a standard deviation shock/innovation in GDP had a negative impact on the construction flows of the economy for the first 10 years of the period under shock analysis, while for the long-run, the impact was in the positive direction.

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