Dividend policies are a key element of in a large business. In initial east India Company issued their bonds in sixtieth centuries and make disbursement of payment in 1661, if the study talk about dividend policy its nature dimension and disbursement issues without Lintner work it would be worst. Dividend policy is most important financial decision by the firm. A payment to shareholders is done through dividend policy. Dividend policy is one of the most investigative issues in the area of economics but the puzzle is still consisting that is there any impact of dividend policy on share price or not. Dividend policy is most important for shareholders not only in the case of earnings but also is the way of investment. Many investors look for the payout ratio. DPR is measures by total dividend paid to shareholders divide by numbers of shares issued by the firm. Now the question is occur that the Dividend payout ratio have positive impact or negative impact on share price. Developed firm have high DPR which bring increase in share price.

Government and private sectors firm's shareholders have a goal to increase revenue and development on advanced level. In Pakistan there are numbers of issues exist which disturb the perception of shareholders about dividend policy and share price therefore Pakistani researchers recommended that share price is effected by different variables like dividend yield retention ratio, PAT, earnings per share and ROE. According to mention variables it's exposed by deferent studies that the dividend policy most important object for the share price.

Share price is price of a stock which offers by a firm for selling purposes. Price of a share identify a balance between share seller and share buyers sometime selling and buying of a stock could be done by a broker.(Sharma, 2011). According to many studies there is a strong positive association between share price and dividend further show lower coefficient as compared to dividend with retained earnings. (Chhetri, 2008). The interviews of twenty eight different firms were conducted by the researchers they state that there is a strong positive association between dividend policy and share price.

However opposite results were also found by some researchers. (M&M, 1961) planned irrelevance theory suggesting that the share price is not affected by dividend policy. He argued that the firm have main goal to increase their earnings and firm performance so could be come through good investment decision..

Dividend is the portion of net income which is distributed among the shareholders for bearing risk and investment. Dividend disbursement is on the bases of a firm dividend policy which is set by managers and majority shareholders. According to (Gordon 1959; Akbar and baig) the rate of a dividend has full influence on the stock price while other studies use this variable because it's have an association. And shows positive relationship between share price and dividend policy Based on these arguments it's explained that there is a strong positive association between SDS and share price. Therefore the hypotheses build.

H1: There is a positive relationship between stock dividend per share and share price.

DPR shows the payout ratio of a firm to shareholders. Its measure by dividend paid/number of share outstanding. It can be also found by dividend per share/ earnings per share its shows link between DPR and EPS. It means that there is a link between DPR and share price change. (Sharma, 2011; zakaria et al 2012).

However, a lot of studies were in the favor of negative association because they proved that there is an adverse link between DPR and share price. ( Husainey, Oscar Mgbame, et al.2011; Hashemijoo et al.2012) according to Ilaboya & Aggreh (2013) conducted the study from 2004 to 2011. According to the interpretation highlight that DPR imposes an adverse and no link share price with an adverse coefficient of.-0.092.

H2: There is a negative relation between dividend per share and share price.

PAT is a free factor. There is immediate connection between offer qualities and benefit after duty. The primary point the PAT is to subtract CGS and random cost from the gross benefit. PAT was utilized by Pani as control variable. (Pani2008), Adasola & Okwang (2009), Ahmed Javid(2009)&Al-Kuwari (2010) utilized PAT as autonomous variable in their examinations and discovered positive connection between offer costs and benefit after duty. They think about benefit after duty as an imperative variable to clarify the variety in offer costs. So according to the above explanation the hypotheses build.

H3: Profit after Tax (PAT) has positive effect on Share price.

Earnings per share is an independent variable. It represents the amount of earnings attributable to each share of a company stock. Many researcher study the relationship between EPS and share price. Their finding shows that there is a positive link between share price with earnings per share. (Asghar, Shah, Hamid, et al 2015; Adnan, Jan, Sharif . 2011; Khan, Aamir, Qayyum et al. 2011). Azim. (2011) was taken a sample of 131 firms listed on PSX for the sample period of ten years and also used panel data approach. The result of his study showed that EPS has significant optimistic relation with share price

However the study was conducted by Manandhar (1998) in the context of Nepal his result shows a negative link between share EPS and share price.

According to the above statement it represent that EPS and share price have positive association therefore the hypotheses build.

H4: There is a positive impact of EPS on share prices.

ROE is an independent determinant and it is Defined is profit of firms/ shareholders equity. (Ling, 2008; Azeem & Kouser2011; Raballe & Hedensted 2008; Liu&Hu 2005) According to the above studies it shows that there is a positive association between ROE and share price while the other study was conducted by Liu and Hu on dividend payers in Denmark they were used ROE is one of the main determinant which have more influence on share price the result of his study shows that the ROE and share price have more positive link with each other's. Therefore the study developed below assumption in the favor of positive association.

Area of the research comprised non-financial sector in Pakistan stock exchange. However the target population is textile industry. The data for the current study will be collect from 2010 to 2017.

In current study; the study has been selected textile sector for analysis. The textile sector has been chosen due to availability of the data and also effort to include those firms which had to receive profit and distribute dividend. Therefore the study select top twenty companies listed in PSX as a sample.

In the current study, the study will collect secondary data from Pakistan stock exchange website and from companies' annual reports. The sample period of the data is 2010 to 2017. In this study convenient sampling technique will be used for data collection.

H1: There is a positive relationship between stock dividend per share and Share Price.

H2: There is a negative relationship between dividend payout and share price.

H5: There is a significant positive relationship between ROE and share price

The current study has work on dividend policy and share price to identify the connection between both multiple regression analyses. Study have consist five independent variables and one is dependent variable for the analysis. Independent variables include SDS, DPR, PAT, EPS and ROE. Against dependent variable is share price. These variables are comprised in regression estimate. The next regression equation will be implemented to develop an association between dividend policy and share prices.

Yit = β₁SDit + β₂DPRit + β₃PATit +β₄EPSit + β₅ROEit +eit.

The above table show share price as a dependent variable. The above table shows the mean value for the share price is 1.389 while dispersion shows through the standard deviation which is 0.672. These two values show that there is very little dispersion among different determinants of the data. However the analysis shows that the maximum and value for study is 3.089 and -0.259 the maximum value indicate that highest value of the share price is (3.08991) and minimum show lowest value which is -0.259. The study also highlights the value of skewness and kurtosis which are -0.125 and 0.686.

Dividend payout ratio is an independent variable in this study. The DPR result sowed many value like mean, median and std devi of dividend payout ratio in Pakistan textile sector are 1.038, 1.050 and 0.507respectively. And the other hand, the maximum for DPR is 1.889 and the lower value is recorded at -0.795. The normal value of DPR is 1.038 its shows that average dividend per share is about 1.038 of the share price for 20 listed textile firms in Pakistan from year 2010 to year 2017. However the skewness and kurtosis of the study is -0.772, 1.157Stock dividends per share is an independent variable in the current study. Here the SDS result show the different values of the statistical tools which include mean median maximum and minimum and the other side skewness and kurtosis the values of these tools include mean have 0.680 median 0.660 maximum 2.274 minimum 0.0374 and skewness and kurtosis 0.772, 1.870 while the standard deviation of the study is 0.672. According to the above analysis its shows that the SDS have no issue of abnormality while the Standard divination explained that there is not more dispersion in the data.

Profit after tax is an independent variable in this study. Here result of the study shows the value for the mean 0.680 median 0.660 it indicate that the average of the value is near to (0.680) while the midpoint for the study is 0.660. However the study also shows that the maximum value for the study is 2.274 and minimum value for the study is 0.0374. Dispersion of the data shows by standard deviation which is 0.336 its mean that the SDS is normal spread and there is no chance of outliers in SDS. While the kurtosis and skewness values shows 1.870, 0.686.

In this study EPS is an independent variable. Descriptive statistics of the EPS shows that mean for the EPS is 0.981 it indicate that the average of the value is near to mean while the midpoint for the study is 0.848769. The maximum and minimum values of the study is 2.927, -1.154 while standard deviation skewness and kurtosis of the study is 0.616, 0.710 and 1.207.

According to the above statement it's indicate that dispersion in the data is normal and the data have no outliers.

Return on equity (ROE) is used as independent variable. The above table shows the mean value for the study is 0.927 and standard deviation is 0.428 in Pakistan textile sector. Based on the current study, ROE has the maximum value 2.44308 while the minimum value of the study is -0.707. The skewness and kurtosis also show by the above table is -0.707 and 2.443.

The regression diagnostic test involve graphical and statistical test. These procedures allows to explore whether the assumption of the regression model are valid and decides whether the subsequent inference results are genuine and trustworthy. To insure this several diagnostic tests were carried out to find out the suitability of the data for multiple regression analysis. In short the data for the regression model must fulfill the basic four assumption collinearty, Heteroskedasticity, normality and linearity.

According to first assumption the current study will examine collinearty among variables by using two important methods correlation matrix and VIF analysis.

The above table shows the correlation among all variables by using correlation matrix. By using this method the result shows that there is no Multicollinearity among all variables because the value of each variable is less than 0.6 so its indicate no high correlation among all variables.

The result of analysis shows that there are all value of the different determinants is lower than 10 so it show that there is no chance of Multicollinearity. The result enabled the researcher to use the data for further analysis.

The result showed that the Chi squared computed for model. The result of chi squared are insignificant as the P value are greater than 0.05 which provide the sufficient evidence not to reject the null hypotheses data are homoscedastic the result enabled the researcher to use the data for further analysis

There are two main way to test for normality. Graphical representation and statistical test. However the study will apply graphical analysis to check the accurate result of study. Graphical analysis should be done by Q-Q plot.

The last assumption for the current study to any nonlinear relationship between dependent and independent variables . To ensure to relationship between dependent and independent variables, the current study assign log if the values are abnormal.

The ordinary least square (OLS) or a linear least squares is statistical techniques used to determine unknown measurement in a linear regression model with goal of minimizing the sum of squares of difference between the observed responses in the given dataset and those predicted by linear function of a set of independent variables. In the present study, a multivariate analysis is conducted to check linear relationship between dividend policy and share price and its determinants. The dependent variable is the share price and the independent variable determinants are SDS, DPR, PAT, EPS and ROE. Besides all the regression model are used in the current study are estimated through Gretl (version 16) software for statistical analysis the following subsection explain the linear relationship dividend policy and share price and its determinants based on OLS.

SP = β₁SDit + β₂DPRit + β₃PATit +β₄EPSit + β₅ROEit + e_it

According to the above table it shows that the coefficient of each variable are provided with the t- ratio along with their significant level of 1%, 5% and 10%. The model fitness is determined through R-square and F-value. The R squared for the model is reporting 0.16 which mean 16% of the total variation in the effect of dividend policy on share price by independent variables similarly the adjusted R-squared for model is 0.14 which mean 14% of the total variation of dividend policy and share price is impact by independent variables. The result of the F-value and P-value for the model shows that overall model is significant at 1% and can be used for further analysis.