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

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.

Author(s):  
Mir Md Nazrul Islam

Dividend policy is an extensively researched topic in the arena of investments but still it remains an enigmatic that whether Dividend Policy affects the Stock Prices or not. The consequences of researches conducted in different stock markets are different. In Bangladesh, capital market investment is very essential and significant for the growth and market capitalization of domestic industry, trade and commerce. In current years Bangladesh had faced many precarious situations in its stock market. The Stock price reactions to the declaration of dividend of the fuel and power industry of Bangladesh are empirically examined. This study examines stock price reactions of listed dividend paying fuel and power industries in Dhaka stock exchange, Bangladesh for period of 11 years from of 2008-2018. This study will help us to make effective dividend decisions and effective implementation of dividend policies. In this study, Fixed Effect Model along with Random Effect Model have been used to estimate results. Both Models are implemented on panel data for explaining the association between dividend payments and share prices while controlling logarithm value of Profit after Tax, Earnings per Share and Return on Equity. The research is accompanied with a view to find whether the dividend announcement convey any evidence to the market that results a stock price volatility for adjusting the dividend announcement information while controlling the variables like Profit After Tax Earnings, Per Share and Return on Equity. The study also tested both the Models and found Random Effect Model is more significant than Fixed Effect Model. The result documented on the Random Effect Model shows that there are significant relationship with Retention Ratio, dividend per share and Return on Equity. In addition, Profit after tax shows the negative significant association and Earning per Shares insignificant with the share prices in Bangladesh Fuel and Power sector. 


2018 ◽  
Vol III (IV) ◽  
pp. 616-630
Author(s):  
Sanaullah Khan ◽  
Muhammad Faizan Malik ◽  
Shehzad Khan

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


Author(s):  
Thị Lam Hồ ◽  
Thùy Phương Trâm Hồ

Dividend policy is one of the most important policies in corporate finance management. Understanding the impact of dividend policy on the distribution of profits, corporate value and thus on the stock price is important for business managers to make policies and for investors to make investment decisions. This study is conducted to evaluate the impact of dividend policy on share prices for companies listed on Vietnam’s stock market in the period from 2010 to 2018, based on the availability of continuous dividend payment data. Using the FGLS method with panel data of 100 companies listed on the HoSE and HNX, we find evidence of the impact of dividend policy on stock prices, supporting supports the bird in the hand and the signal detection theories. The findings of this study help to suggest a few recommendations for business managers and investors.


Author(s):  
Felix Ebun Araoye ◽  
Akinola Michael Aruwaji ◽  
Emmanuel OlusuyiAjayi

This paper seeks to determine the effect of dividend policy and dividend payment on share price volatility in Nigeria. Several literatures have showed evidence that dividend policy vary inversely proportional with share price volatility with duration effect. The study used data from the actively trading companies listed in the Nigeria Securities Exchange for a period of ten (10) years from 2005–2014. The estimation is based on panel data analysis between dividend policy measures (dividend payout, dividend per share, earnings after tax, dividend declared and number of share) and Share price volatility. The findings from the random effects regression results showed dividend per share is the major determinants of share price volatility in NSE (β = 0.6870, ρ<0.05). Dividend payout ratio negatively affect share price volatility (β =0.612, ρ>0.05) and earnings after tax negatively affect share price volatility (β =0.038, ρ>0.05).Thus, the higher the payout ratio the less the share price volatility, and the higher the earnings after tax lower the share price volatility. In conclusion, dividend per share has positive effect and inclusive relationship with market share prices. It is recommended that firms should try and improve on their financial performance that will enable consistent increase in the dividend per share for positive impact on market value.


2018 ◽  
Vol 13 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Rozaimah Zainudin ◽  
Nurul Shahnaz Mahdzan ◽  
Chee Hong Yet

Purpose The purpose of this paper is to analyse the relationship between stock price volatility (SPV) and dividend policy of industrial products firms listed on Bursa Malaysia. Design/methodology/approach The sample comprises 166 industrial products public-listed firms covering a time span from year 2003 to 2012. Using Baskin’s framework, firm’s SPV is related to dividend payout, controlling for earnings volatility, firm size, leverage and growth of assets. Further, the impact of the global financial crisis on the relationship between SPV and the tested variables is examined. Findings Earning volatility significantly explains SPV of industrial product firms during the crisis period, while dividend payout ratio (PR) predominantly influences volatility during pre- and post-crisis sub-periods. The empirical results indicate that dividend policy is a strong predictor of SPV of industrial products firms in Malaysia, particularly during the post-crisis period. Originality/value The paper explores the firm’s SPV and dividend policy for a new set of data focussing on industrial products firms listed on the Malaysian Stock Exchange.


2020 ◽  
Vol 32 (2) ◽  
pp. 45-59
Author(s):  
Purna Man Shrestha

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.  


Author(s):  
Ernie HENDRAWATY ◽  
Sri HASNAWATI ◽  
Lia PURNAMASARI

This study aims to determine the role of independent Commissioners to control the effect of family-owned business characteristics on dividend policy. This study construct panel data that estimate using panel regression with a fixed-effect model. The model is estimated using financial data of 64 Indonesian manufacturing companies that were observed from the period 2016-2018. The result showed that family-owned business characteristics have a positive effect on dividens. The Independent Commisioners were able to control the effect of family business characteristics on the dividend policy. The Independent Commissioners have a role in reducing the positive effect of family-owned businesses characteristics on dividends.


2021 ◽  
Vol 235 ◽  
pp. 01072
Author(s):  
Chunmiao Ren

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.


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