Abstract
Research on a company's dividend policy is crucial because it ultimately affects the growth and performance of the company. The study's objective is to determine the variables that affect dividend policy, and both micro and macroeconomic indicators have been selected. Dividend policy is an important factor that successfully mediates the connection between certain economic variables and the firm value. Data were gathered from five publicly traded automobile firms in Pakistan for the years 2011 to 2021. The stock price valuation of automobile companies has been determined using the Linear Regression Model for relationship analysis of variables and the Sobel test method for the mediation impact of dividend policy. The study's findings demonstrate that economic variables like micro and macro include a most important impact on the dividend policy, and the results of the Sobel technique and findings on the stock prices of Pakistan’s automobile firms confirm these findings.
Key Words
Dividend Policy, Stock Price, Dividend Yield, Retain Earnings, DPR, Taxation Policy, Inflation, Linear Regression, Sobel Test
Introduction
Dividend policy is a crucial instrument used by a company's management to find out the number of dividends to paid investors as well as the total sum set aside for future investments (Lee, 2009). In a corporate firm, the dividend policy plays a very essential role in the firm’s growth, market share price and the shareholders’ investment reserve for future investments. The focus of the payout policy is on the timing and quantity of dividend payments to investors. It is critical for a company to develop a dividend policy that maximizes the market value of its stock. The growth in business also ensures that these companies' dividend payments will be consistent and smooth in the future (Lintner, 1956). They went on to say that dividend payouts cause share price volatility (Gorden, 1963). A company's dividend policy is very important since it demonstrates its strength and gives information about its growth potential (Black, 1976). The management of any firm determines whether to distribute profits to shareholders as dividend payments or to keep them for internal operations. Companies typically the payment of dividends to shareholders when they are profitable (Ahmed, Nazir & Abbas, 2021).
A financial choice that specifies how a company's earnings or a portion of its earnings will be dispersed among its shareholders is known as a dividend distribution policy, according to business jargons (Business Jargons, 2016). 2017). The corporation has the freedom must choose whether to keep some of its profits to reinvest in the company and boost the share price or to give them out as dividends. (Motley, 2017). The investor's decision to invest is determined by the dividend payment ratio (Omodero& Amah, 2017). According to the "bird in the hand" argument, investors be further focused on what they are receiving right now and don't give much thought to net asset value or earnings in the future(Sourav Hansda, 2020). The major focus of the payout procedure is on the timing and quantity of dividend payments to investors. It is critical for a company to develop a dividend policy that maximizes the market value of its stock. In corporate firms, the dividend policy plays a very essential role in the firm's growth, market share price also the shareholders' investment reserve for future investments. There is no correlation between dividend payout and firm value because the only value can be increased if investments in high-yielding projects are made with retained earnings (Nisar Ahmad, Mohsin Nazir, Naseer Abbas, March 2021). The management of any firm determines whether to distribute profits to shareholders as dividend payments or whether to keep them for internal operations. Companies, typically when profitable businesses, provide dividends to their stockholders. Different definitions of dividends have been offered. (Nisar Ahmad, et al. 2021). Given that shareholders invested in the company by purchasing shares, dividends represent a return on their investment (Maheshwari, 1999). Furthermore, contemporary dividend policies address a variety of concerns, including recruiting investors, improving the firm's market value, and deciding whether or not to buy back shares and distribute dividends (Hashemijoo, et al., 2012).
Literature Review
Gosh et al. (1989) found that every company listed on the NYSE (Stock Exchange of New York) and the ASE (Stock Exchange of America) had decreased or even stopped paying dividends over the time in question (1962–1984). This led to the conclusion that investors choose cash dividends over reinvesting earnings in initiatives that look to be long-term investments questionable. As a result, investors prefer cash returns over capital gains in risky enterprises.
Nisar et al. (2021) discuss the relationship between a company's dividend distribution strategy and its automobile sector's commercial performance in Pakistan. Their data imply that dividend payment policy and profitability have a positive association. Relates to the size, growth, and leverage of the sector.
Ahmed, Abdullah & Idrees (2020) the dividend policy's effect on share (stock) prices is investigated. The random result demonstrates that among the variables earning per share, dividend payment %, and profit on equity, share market value is statistically associated. The dividend disbursement percentage increased by 1%, resulting in a 0.5858 per cent increase in share market value. A 1% change in earnings per share stock causes a 1.4219 per cent change in share market prices. Increases in the value of profit on equity of 1% generate a decline in the market value of 0.996 per cent, resulting in the opposite situation. It was suggested that businesses keep a close eye on the market on a regular basis, as market expansion will affect share prices.
Hamad Raza, et al. (2020) state this study's goal is to examine the effects of company-specific variables of share prices on non-financial enterprises listed on the PSX in the Automobile Sector (PSX). According to the findings, firm-specific factors (EPS and P/E ratio) have a positive substantial impact on a firm's share price in Pakistan. This study adds to the existing literature and discussion of the elements that affect a company's share price in an emerging market with a focus on the automobile sector in the Pakistan stock exchange.
Dr D. Rajasekaran and Dr N. Sumathy (2019) one of the most complicated parts of finance is dividend policy. The study examined
ten variables, including liquidity, size, price earnings, retained earnings, profitability, and the previous year’s dividend policy. The findings revealed that liquidity, size, price earnings, retained earnings, profitability, and the previous year’s dividend policy all seem to have a significant impact on dividend policy.
Soomro et al. (2019) state that the study's goal was to observe the result of corporate dividend practices on the value of their stock. Based on data availability, Ten years' worth of panel data (2006–2015) was gathered from 14 chosen businesses in the area. Dividend Yield and Retention Ratio have a significantly negative link to Profit after Tax and Earnings per Share, however, show a solid and favourable association with the market price. However, no proof of the Return on Equity's Effect on Market Price has been established. The outcomes of this study were inconsistent when it came to key drivers like dividend yield and retention ratio. To support the Dividend Relevance theory, they did not match each other reciprocally.
Mohammed ShahwarAlam and Raheel Gohar (2018) The study's goal was to figure out what elements influence a company's dividend payout policy and whether that policy is stable based on last year's dividend and current earnings. However, there was a high correlation between dividend payout and the previous year's dividend. It was also discovered that these companies do not have a consistent dividend policy.
Herawati. Aty and FirlyIrradha Fauzia (2018) the purpose of this investigation was to ascertain how the subsector of automotive and component-listed companies' debt-to-equity ratio, the current ratio, and the asset return all affect the dividend payout ratio. Indonesia Stock Exchange from 2012 to 2016. The modified R-Square value of the research resulted in a value of 68.69 per cent. With regression coefficients of –0.065189 and 0.679691, the results suggest that the DPR is greatly impacted by the debt-to-equity ratio and return on assets. 0.037200 is the regression coefficient; the current ratio has little to no impact on the dividend payout ratio.
Farrukh, et al. (2017) the goal of this investigative study be in the direction of determining the Conflict between Pakistan's dividend policy and shareholder wealth and corporate performance. This study's factors include corporate performance, the wealth of shareholders and dividends policy. Dividend yield and dividend per share are indicators of dividend policy. Shareholder wealth is represented by earnings per share and the share price. A metric used to evaluate a company's success is the return on equity. It has been established that the dividend policy is beneficial to both shareholder wealth and company growth.
Maha et al. (2016) investigated the results of a company's dividend policy on market capitalization in Pakistan's automobile industry. The data suggest that the sub-factors of dividend policy and market capitalization have a favourable but weak link, whereas there is no connection between dividend yield and share price or trading volume.
Ozuomb et al. (2016) this research piece analyzes how dividend regulations impact share worth and thus shareholder prosperity. This study's objective is to assess the outcome of dividend policies based on public market value firms in Nigeria, empirically investigate the link between dividend payout and information asymmetry, and inspect the results of various dividend policies on shareholder wealth. This study demonstrates the importance of dividends and further establishes that public limited company payout policies have an impact on shareholder wealth in Nigeria.
Mula Nazar Khan et al. (2016) the main goal of this learning is to see if dividend policy has an impact on company presentation in Pakistan. Return on assets, dividend policy, and sales growth all have a favourable relationship, according to the findings. The majority of the research's findings are comparable to those of earlier studies. The leverage and dividend payout ratio is very high. Negative relationship through return on equity, according to the findings.
Research Methodology
To achieve the goal of this study, a strictly quantitative approach to research methodology was adopted. By preserving the link of effect and cause among the variables and advancing the research, the quantitative approach aids in the setting of the research's goals and theories in the real world.
The study has been investigating about automobile industry in Pakistan on 5 listed companies trading on the PSX. The secondary data has been analyzed in the study to explain the factors that determine dividend policy and how they affect a company's worth. The source of the data is the financial assessment reports of non-financial institutions from the SBP and the company’s official website, the period from 2011 to 2021. A simple Linear Regression method has been applied for impact analysis with the help of the SPSS tool. Further, to examine the mediating role of dividend policy Sobel test has been used with the help of the Sobel test calculation method.
Measurements and Estimation
Based on the following research that emphasized the influencing role of economic factors in dividend policies and the ultimate effect on firms’ value, the study's estimation and analysis are included similarly to those (Nisar A., Mohsin N. and Nasir A.;2021). Based on the basic Equation:
Y= ? + ?(X1) + ?(X2)+….+e
Equations for Micro Indicators
DPR= ? + ?(AOC) + ?(EAR)+ ?(LIQ) +e …Equ (1)
DY = ? + ?(AOC) + ?(EAR)+ ?(LIQ)…+e ...Equ (2)
RE= ? + ?(AOC) + ?(EAR)+ ?(LIQ) ….+e …………… Equ (3)
Equations for Macro Indicators
DPR= ? + ?(IRP) + ?(TP)+ ?(INF) ….+e ………… Equ (4)
DY = ? + ?(IRP) + ?(TP)+ ?(INF) ….+e …………..….Equ (5)
RE= ? + ?(IRP) + ?(TP)+ ?(INF) ….+e ……………….Equ (6)
The Equation for Dividend Policy and Stock Price
Stock price= ? + ?(DPR) + ?(Divi Yield)+ ?(RE) ….+e …….. Equ (7)
Explanation of Variables
DPR = Dividend pay-out Ratio
DY = Dividend Yield
RE = Retain Earnings
AOC = Age of Corporation
EAR = Earnings
LIQ = Liquidity
IRP = Interest rate policy
TP = Taxation policy
INF = Inflation
SP = Stock price
Results and Discussions
The Calculation
for Micro Indicators of Equation 1
.Table 1. Model Summary of Equation 1
Model Summary b |
|||||||||
R |
R Square |
Adjusted R Square |
Std. Error of the
Estimate |
Change Statistics |
Durbin-Watson |
||||
R Square Change |
F Change |
df1 |
df2 |
Sig. F Change |
|||||
.541a |
.293 |
.252 |
41.2463316 |
.293 |
7.052 |
3 |
51 |
.000 |
1.848 |
a. Predictors:
(Constant), Liquidity, Age of corporation, Earnings
b. Dependent Variable:
DPR
Table 1
indicated dividend payout Ratio (DPR) as the dependent variable and age of the
corporation (AOC), Earnings (EAR), and Liquidity (LIQ), as separate variables.
The independent factors illustrate the overall change in the dependent variable
DPR.
Model Summary The R-squared is
assessed at 29%, which explains that the variables in the model have a
moderately strong association with one another. While the F-statistics is
7.052, the estimated value of prob (0.000) is statistical. The serial
correlation of various variables in this model is explained by the
Durbin-Watson statistic, whose value is 1.848.
Table
2. ANOVA of Equation 1
ANOVAa |
||||||
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
1 |
Regression |
35992.665 |
3 |
11997.555 |
7.052 |
.000b |
Residual |
86764.253 |
51 |
1701.260 |
|
|
|
Total |
122756.918 |
54 |
|
|
|
a. Dependent Variable: DPR
b.
Predictors: (Constant), Liquidity, Age of corporation, Earnings
Table 3. Coefficients of
Equation 1
Coefficientsa |
||||||||
Model |
Unstandardized
Coefficients |
Standardized
Coefficients |
T |
Sig. |
95.0% Confidence
Interval for B |
|||
B |
Std. Error |
Beta |
Lower Bound |
Upper Bound |
||||
1 |
(Constant) |
14.176 |
22.505 |
|
.630 |
.532 |
-31.005 |
59.358 |
Age of
corporation |
-.045 |
.800 |
-.007 |
-.056 |
.956 |
-1.651 |
1.562 |
|
Earnings |
6.882E-006 |
.000 |
.591 |
4.451 |
.000 |
.000 |
.000 |
|
Liquidity |
-3.442 |
1.136 |
-.407 |
-3.031 |
.004 |
-5.722 |
-1.162 |
Table 3 demonstrates the
ratio of the variables' correlation coefficients. In contrast, the coefficient
of the EAR is positive with a value of 6.882 T Static (4.451) and the Probe
value shows (0.000) statistically significant with DPR. The correlation of LQR
is negatively significant with DPR with a value (-3.442), T statistic (3.031)
and Prob value (0.004). However, the coefficients of AOC are (-.045) negative
and statistically Non-significant with DPR.
Findings
The Calculation
for Micro Indicators of Equation 1
.Table 1. Model Summary of Equation 1
Model Summary b |
|||||||||
R |
R Square |
Adjusted R Square |
Std. Error of the
Estimate |
Change Statistics |
Durbin-Watson |
||||
R Square Change |
F Change |
df1 |
df2 |
Sig. F Change |
|||||
.541a |
.293 |
.252 |
41.2463316 |
.293 |
7.052 |
3 |
51 |
.000 |
1.848 |
a. Predictors:
(Constant), Liquidity, Age of corporation, Earnings
b. Dependent Variable:
DPR
Table 1
indicated dividend payout Ratio (DPR) as the dependent variable and age of the
corporation (AOC), Earnings (EAR), and Liquidity (LIQ), as separate variables.
The independent factors illustrate the overall change in the dependent variable
DPR.
Model Summary The R-squared is
assessed at 29%, which explains that the variables in the model have a
moderately strong association with one another. While the F-statistics is
7.052, the estimated value of prob (0.000) is statistical. The serial
correlation of various variables in this model is explained by the
Durbin-Watson statistic, whose value is 1.848.
Table
2. ANOVA of Equation 1
ANOVAa |
||||||
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
1 |
Regression |
35992.665 |
3 |
11997.555 |
7.052 |
.000b |
Residual |
86764.253 |
51 |
1701.260 |
|
|
|
Total |
122756.918 |
54 |
|
|
|
a. Dependent Variable: DPR
b.
Predictors: (Constant), Liquidity, Age of corporation, Earnings
Table 3. Coefficients of
Equation 1
Coefficientsa |
||||||||
Model |
Unstandardized
Coefficients |
Standardized
Coefficients |
T |
Sig. |
95.0% Confidence
Interval for B |
|||
B |
Std. Error |
Beta |
Lower Bound |
Upper Bound |
||||
1 |
(Constant) |
14.176 |
22.505 |
|
.630 |
.532 |
-31.005 |
59.358 |
Age of
corporation |
-.045 |
.800 |
-.007 |
-.056 |
.956 |
-1.651 |
1.562 |
|
Earnings |
6.882E-006 |
.000 |
.591 |
4.451 |
.000 |
.000 |
.000 |
|
Liquidity |
-3.442 |
1.136 |
-.407 |
-3.031 |
.004 |
-5.722 |
-1.162 |
Table 3 demonstrates the
ratio of the variables' correlation coefficients. In contrast, the coefficient
of the EAR is positive with a value of 6.882 T Static (4.451) and the Probe
value shows (0.000) statistically significant with DPR. The correlation of LQR
is negatively significant with DPR with a value (-3.442), T statistic (3.031)
and Prob value (0.004). However, the coefficients of AOC are (-.045) negative
and statistically Non-significant with DPR.
Description of Sobel Analysis
This test was carried out using the Sobel test procedure, which was taken from sources like Goodman (1960), Sobel (1982), Baron and Kenny (1986), MacKinnon, Warsi, and Dwyer (1982), among others (1986) are some examples (1995). The variance's third-term estimate in the denominator is left out of the Sobel test equation. As a result, it does not alter the superfluous under the premise that sa + sb result is vanishingly little, Baron and Kenny (1986) suggest using the Aroian form of the Sobel test. The third term is subtracted in the Goodman version of the test to obtain an impartial approximation of the inconsistency of the mediated effect, although occasionally this unfavourable outcome results in a negative variance estimate. In a Monte Carlo simulation, the Sobel test and the Aroian test appeared to work the best.5.4.3Sobel test
This test is used as a mediating role of dividend policy and the other hand is also calculated regression of the economic factors. In my study dividend policy play a role as a mediating, which affected firms' value that's why this test is used in this analysis.
To what extent are participants’ Stock Prices (Y) related to Micro and Macro variables (X), and is this relationship mediated by participants’ Dividend Policy (M)? Or does participants’ dividend Policy affect the relationship between their Economic variables (Micro and macro variable) and the Stock Prices of automobile firms?
Figure 1
Illustrates this Research Question
Sobel Test Equation
Findings
Sobel test was utilized to examine if dividend Policy
mediated the relationship between Economic variables (Micro and Macro) and
Stock Prices of automobile firms.
First, results of the test with the help of
regression results taken from table No:3
for an
independent variable to Mediator (micro to dividend
policy) and then from Mediator to Dependent variable ( Dividend policy to Stock
price) and show that selected Micro
variables were a statistically significant predictor of Dividend policy and
hence Dividend policy plays significantly mediating role between micro and
stock price with values (T stat =
-3.7588, standard error = 1.752, t =, p. value 0.0001707). The results
confirmed that dividend policy mediates the relationship between Micro
variables and Stock prices of automobile firms.
For the Testing Mediating Role of
Dividend Policy (Macro)
Table 31. Macro
variables as (IDV) to Stock Price (DV)
Input |
Tests |
Test statistic: |
Std. Error: |
P value |
|
a, |
5.589 |
Sobel test |
11.08928571 |
0.865872 |
0 |
b,. |
1.718 |
Aroian test |
11.08928571 |
0.865872 |
0 |
S,a |
0.504 |
Goodmantest |
11.08928571 |
0.865872 |
0 |
Sb |
0.000 |
||||
Input |
Test
statistic |
P
value |
0.01553333 0.01592676 0.01514412 |
||
Ta |
11.095 |
Sobel test |
7.88952019 |
0 |
|
Tb |
11.221 |
Aroian test |
7.872596 |
0 |
|
Goodmantest |
7.90540984 |
0 |
Source: study source
In the Sobel analysis, there was a substantial link between
the dependent and independent
variables in both the presence and absence of the mediator
factors, indicating that the stock prices of automobile companies and macro
variables such as dividends are statistically significant. The table shows the
computation of the critical ratio is a test to determine whether the not direct
effect of the mediator on the variables of dependent on the variables of
independent differs considerably from zero.
Sobel Test Interpretation Macro
Factors
Findings
Sobel test was utilized to examine if dividend Policy
mediated the relationship between Economic variables (Micro and Macro) and
Stock Prices of automobile firms.
First, results of the test with the help of
regression results taken from table No:3
for IV to Mediator (macro to dividend policy) and then from Mediator to
Dependent variable ( Dividend policy to Stock price) and show that
selected Macro variables were a
statistically significant predictor of Dividend policy and hence Dividend
policy plays significantly mediating role between micro and stock price with
values (T stat = 11.0892, standard error
= 0.8658, t =, p. value 0.000) The results confirmed that dividend policy
mediates the significant relationship between Macro variables and Stock prices
of automobile firms.
Limitation& Future
Direction
The study is limited to only 5 automobile firms in
Pakistan. The data is not available in the form the researcher needed. Time
constraint in a dividend policy determines how the corporation distributes
dividends to the shareholders. The dividend policy of a corporation serves as a
guide to choosing the amount, frequency, and pattern of dividend distribution.
The study can further explore additional factors that impact a company's
dividend policy, such as profitability, growth rate, funding accessibility,
size of the company, liquidity, dividend history of the company, and industry
trends in dividends, which can be pursued in the future.
Conclusion
The study's goal is to examine the mediating impact of Dividend Policy between Micro as well as macro variables and Stock prices of automobile firms. The research first determined the impact of Micro and Macro variables on Dividend Policy then further assessment has been done through the testing of dividend policy and its influence on the stock value of the automobile firms. Finally, with the help of the Sobel test, the mediating role of dividend policy on stock prices determines taking economic indicators such as selected Micro and macro variables. The data for the present research was gathered from the financial stability assessment reports of the nonfinancial institution from State bank statistical data from 2011 to 2021.
It is observed from the findings that the age of the corporation has no influence on all three cases such as dividend payout ratio and dividend yield and retain earnings. However, higher earnings indicate payout decisions and dividend yield which appeared to be an efficient corporate practice of automobile firms, along with a positive influence on retain earnings decisions which can be taken from a higher profitability ratio.
Besides, Liquidity indicated a negatively significant impact on both DPR and DY which shows that to maintain higher liquid position firms hold the decision to payout and hence decrease the dividend yield. Conversely, any adjustments or changes in net income will have a direct positive influence on the Retained earnings balance.
It is observed from the result that liquidity and retain earnings have positive results rather than negative this explains that automobile firms highly rely on international financing which keeps a high ratio of money in that bank account.
The findings also observed that amongst the selected variables such as Inflation, Interest rate and tax policy. The tax has been positively significant in dividend policy, but such results only support the view According to When the investment time horizon and other considerations are taken into consideration, shareholders favour equity appreciation over dividends according to the tax difference theory of dividend policy since capital gains are really taxed at lower rates than distributions.
Finally, it is also observed from the overall analysis that there are some economic indicators that determine the dividend policy of a firm which ultimately influences the value of the firm.
References
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Cite this article
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APA : Memon, A., & Talpur, A. B. (2022). Determinants of Dividend Policy and its Impact on Firm's Value: An Evidence of Automobile Sector in Pakistan. Global Strategic & Security Studies Review, VII(II), 94-110. https://doi.org/10.31703/gsssr.2022(VII-II).11
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CHICAGO : Memon, Asadullah, and Arifa Bano Talpur. 2022. "Determinants of Dividend Policy and its Impact on Firm's Value: An Evidence of Automobile Sector in Pakistan." Global Strategic & Security Studies Review, VII (II): 94-110 doi: 10.31703/gsssr.2022(VII-II).11
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HARVARD : MEMON, A. & TALPUR, A. B. 2022. Determinants of Dividend Policy and its Impact on Firm's Value: An Evidence of Automobile Sector in Pakistan. Global Strategic & Security Studies Review, VII, 94-110.
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MHRA : Memon, Asadullah, and Arifa Bano Talpur. 2022. "Determinants of Dividend Policy and its Impact on Firm's Value: An Evidence of Automobile Sector in Pakistan." Global Strategic & Security Studies Review, VII: 94-110
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MLA : Memon, Asadullah, and Arifa Bano Talpur. "Determinants of Dividend Policy and its Impact on Firm's Value: An Evidence of Automobile Sector in Pakistan." Global Strategic & Security Studies Review, VII.II (2022): 94-110 Print.
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OXFORD : Memon, Asadullah and Talpur, Arifa Bano (2022), "Determinants of Dividend Policy and its Impact on Firm's Value: An Evidence of Automobile Sector in Pakistan", Global Strategic & Security Studies Review, VII (II), 94-110
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TURABIAN : Memon, Asadullah, and Arifa Bano Talpur. "Determinants of Dividend Policy and its Impact on Firm's Value: An Evidence of Automobile Sector in Pakistan." Global Strategic & Security Studies Review VII, no. II (2022): 94-110. https://doi.org/10.31703/gsssr.2022(VII-II).11