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5 B VIII. Methodology of the Study This study followed with method descriptive analytical method to identify the nature of the correlation between stock prices and trading volume, and is a test GARCH (1,1) of more tests are common and that are used to measure the fluctuation of stock prices, but in this study has been to rely on test EGARCH (The Exponential GARCH), which was developed by Nelson (1991), and is characterized by this test that assumes a normal error structure conditional errors. The test is expressed EGARCH (The Exponential GARCH) by the following equation (Taskin & Kapucugil, 2013). 24 log (δ2t) = ω + α ( (εt-1) / (σt-1) - 2 / δ ) + γ (εt-1) / (σt-1) + β log (σ2 t- ( _1 Where: ω, α, γ, β: independent transactions. εt :coefficient of error To ensure the stability of the data it is supposed to be less than the value of β (1), and the coefficient of error εt distributed normally distributed Within the model, it is assumed EGARCH asymmetry of information, in the sense that if the negative relationship between price volatility and negative returns, the value of γ will be negative. IX. lowest value Data of the Study This study has been relying in the data daily trading volume and stock prices, which extended its data from January 2000 to March Has been taking highest value Table 1 : Summary results of descriptive statistics standard deviation According to the result of table (1) By the results in Table (1) shows us the following: Logarithm Volume: The highest value of the logarithm of the trading volume around (20.09), while the lowest value around (12.64), while the mean stood around (16.35), and a standard deviation of approximately (1.39), it which reflects the disparity in the size of the trading on the ASE. The logarithm of stock price index: The highest value of the logarithm of the stock price index of about mean stood Variable ( Ln V.T ) Volume trding ( Ln Index ) Stock prices (8,525), while the lowest value of about (6.675), while the mean totaled approximately (7,621), and a standard deviation of approximately (0495), and thus we can see that there is a stable the movement of the stock price index in the Amman Stock Exchange. Test the stability of the data: This study used time-series data, and to ensure the stability study data related to stock prices has been relying on Dickey Fuller test (ADF). The table (2) below shows the result of this test: Table 2 : Unit root test results for the stability of time-series using the Dickey Fuller test (ADF) the value of probabilistic Through Table (2) Previous shows us that stock prices in a stable level, this means rejecting the null hypothesis which states that no stillness variables, that is, static variables in level. the logarithm of both variables for the purposes of statistical analysis. Where was the use of statistical tests in the following program E-Views: Descriptive statistics (mean, standard deviation, the highest value, and less valuable). Unit root test for the stability of time-series (Dickey Fuller test (ADF)) value (t) Testing EGARCH (The Exponential GARCH). Test Angel - Granger (Engle-Granger) to test the causal relationship. Descriptive statistics: Table (1) The following presents a summary of the results of descriptive statistics for the variables of the study. (Variable ) The fluctuation of stock price

6 Table 3 : Test results EGARCH (1,1) Mean Equation C *** Variance Equation *** *** *** *** β Ln Vol. Variable statistically significant at the 1% * Statistically significant at 5% ** Through the table (3) Previous notice the presence of a statistically significant relationship between trading volume and stock price index in the Amman Stock Exchange, and this relationship is statistically significant at the significance level (1%), as Prob *** F-Statistic statistically significant at the 01% * Coefficient The following figure shows Table 4 : Test Angel - Granger (Engle-Granger) Through the table (4) Previous shows us that there is a causal relationship one-way between each of the trading volume, and stock price index, it was found that the volume of trading is causing the stock price index. It is clear that the value of the probability of the test (F), which was significant and statistically significant at the level (1%). Accordingly, we accept the second hypothesis of the study. Have agreed as a result of this study with the study (Ananzeh, et-al, 2013), and study (Choi, et-al, 2012), and the study of (Al-Zubaidi and ***statistically significant at the 10% the value of coefficient of oscillation ( ). And it is the first to accept the hypothesis of the study. This result has been agreed with the study (Choi, et-al, 2012), and the study of (Al-Zubaidi and others, 2008). Null Hypothesis LNVT does not Granger Cause GARCH02 GARCH02 does not Granger Cause LNVT Statistically significant at 5% ** Std. Error *** statistically significant at the 1% others, 2008), while disagreed with the study (Al-Jafari & Tliti, 2013), which she explained that the returns that are causing the volume. X. Results and Recommendations a) Results This study aimed to identify the nature of the relationship between trading volume and stock price index in Amman Stock Exchange during the period ( ), has been reached following results. Global Journal of Management and Business Research ( Volume ) XIV Issue VII Version I Year

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