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Stock Returns: Boeing & IBM Analysis Report

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Added on  2020-03-16

Stock Returns: Boeing & IBM Analysis Report

   Added on 2020-03-16

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Running head: STOCK RETURNS ANALYSISStock Returns: Boeing & IBM AnalysisNameCourse NumberDateFaculty Name
Stock Returns: Boeing & IBM Analysis Report_1
STOCK RETURNS ANALYSIS 2Stock Returns: Boeing & IBM Analysis1.Line Charts for the StocksFigure 1: S&P 500 price against timeThe S&P 500 time series chart shown in figure 1 shows that the stock prices have been significantly increasing from 2010 to the end of 2015. However, the prices seem to have experiencedstationary processes on the last quarter of the year 2011. The prices increased from around 1,000 in mid-year 2010 to around 2,000 at the end of 20151. 1R Hyndman, "6.1 Time series components", in Otexts.org, , 2017, <https://www.otexts.org/fpp/6/1> [accessed 10 October 2017].
Stock Returns: Boeing & IBM Analysis Report_2
STOCK RETURNS ANALYSIS 3Figure 2: Boeing stock price line chartBetween July 2010 and February 2012, Boeing stock prices trend was stationary, indicating that they were not affected by seasonal or cyclic factors. After January 2013, an upward trend of the prices was experienced, hence moving from around 75 to 140in February 2014. This was a double improvement of Boeing stock prices, which might have been improved by policy changes within the institution. Thereafter, the prices show a stationary trend with high levels of seasonality. The maximum price achieved for the Boeing stock was around 160. Figure 3: IBM stock prices line chart
Stock Returns: Boeing & IBM Analysis Report_3
STOCK RETURNS ANALYSIS 4IBM stock prices show small variation between July 2010 and December 2015. The lowest stock price achieved within this period is around 125 and the highest is slightly above 210. Throughout this specified period, IBM stock has been experiencing seasonality effects, leading to unstable prices. However, the general trend of the stock prices is stationary, with few times when upward and downward trends were experienced. 2.Stock Returns for the Three SeriesSummary StatisticsTable 1: Table for the Stock returnsRe-BARe-S&PRe-IBMMean0.061170.050110.00872Standard Error0.039050.026180.03231Median0.076400.059210.01573Mode04.631740Standard Deviation1.453220.974351.20233Sample Variance2.111840.949351.44560Kurtosis2.522414.660295.58741Skewness-0.22490-0.45674-0.78094Range14.2378011.5275814.15247Minimum-8.23848-6.89584-8.64191Maximum5.999324.631745.51057Sum84.7252469.4087912.08377Count138513851385On average, Boeing has higher returns compared to S&P 500 and IBM stocks. However, Boeing stock has higher variation, which might negatively affect investments compared to the other two series. The variation can be affirmed based on the range statistic, which also indicates that Boeing stock returns are sparsely distributed. Jarque-Berra test of NormalityH0: x follows a normal distributionHa: x does not follow a normal distribution
Stock Returns: Boeing & IBM Analysis Report_4

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