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Accenture Stock Analysis

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Accenture (ACN) Statistical Analysis Report

I. Introduction
Accenture is a world leading management consulting, technology service and outsourcing company. It went public in 1998 and is listed on the New York Stock Exchange. In this report, I analyzed factors that relate to Accenture’s excess return, including the single index model (CAPM), three-factor model, and tests of the assumptions of OLS.
II. Data and data description
I collected monthly adjusted closing price of Accenture from July 2001(the earliest available date) to September 2014 and that of 13-week Treasury Bill, as well as Fama French Benchmark Factors (Rm-Rf, SMB, HML) of the same time period. The data description is showed in Table 2, I then tested properties of those variables.
1. Normal Distribution
The test statistics of histogram presented in Table 2 follows a chi-square distribution with 9 degrees of freedom. The critical value at 5% significance level is 23.6. So the results show that Rm-Rf and SMB are normally distributed; while RACN-Rf and HML are not normally distributed.
2. Correlation (Multicollinearity)
The correlation matrix presented in Table 3 shows that the excess return of Accenture is positive correlated with the three factors. Positive correlation with SMB indicates that
Accenture behaves more like a small stock. The positive correlation between independent variables indicates there may be problem of multicollinearity, which need further test.
III. Single Index Model (CAPM)
I first built the single index model: RACN-Rf=α+βRm-Rf+ε. The results are presented in Table 4.
As a whole, the model is significant according to the F statistic. The intercept is 0.7919, which means when there is no market excess return, the excess return of Accenture is 0.7919. However, the intercept is not significant, thus statistically there’s no abnormal return of Accenture. β is 1.0971,

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