Applied for Finance and Economics - Statistics Project Example

The two will guide the analysis of the rest of the analysis. The first section of the project focuses on the brief description of the two variables representing the log return series. It will apply various statistical approaches including the descriptive methods and graphical methods. Consequently, it will conduct the test for normality to ascertain whether the mean difference and median difference really exist, as well as confirming the randomness and volatility of the stock distribution. The project culminates in the analysis of the capital calculation through the Capital Asset Pricing Model (CAPM) as well as the OLSE (Estimation of the Ordinary Least Squares, in order to test relevant observations concerning the Bata estimation.

The figure above shows the summary of the descriptive statistical techniques, for all-important information on the log return on stock value series as well as the log return value of the sap series (Standard and Poor). This is based on the 252 observations forming the entire dataset. The log return of the stock series (lsap) shows a mean of the distribution to be 7.14367. It also gives the standard Deviation of the distribution to be 0.0502348 while the variance of the distribution is 0.0502348.

In this regard, the standard deviation of the sample mean can be calculated as 0.0953768 / √252 = 0.006008. The Skewness of the distribution is a positive value of 0.148524 while the nature of Kurtosis is described by the positive coefficient of 2.175841. This according to Tinsley and Brown (2000), indicates a right-skewed distribution with a positive skewness. The lowest quartile is 3.462919; the median value is 3.615367 while the highest quartile is 3.827336. The log return of the stock series (lsap) shows a mean of the distribution to be 3.62903. It also gives the standard Deviation of the distribution to be 0.

502348 while the variance of the distribution is 0.0025235. In this regard, the standard