The Effects of Stochastic Variables on the Analysis of Stock Market Prices

P. A Azor, J.C. Egelamba, I.U. Amadi
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Abstract

In this paper, stochastic differential equation with some imposed parameters in the model was considered. The problem was solved by adopting Ito’s theorem to obtain an analytical solution which was used to generate various discrepancies on various asset prices. The asset values were obtained through the influences of some key stochastic variables which shows as follows:(i) increase in when are fixed increases the value of asset returns (ii) a little increase on time when return rates and stock volatility are fixed also increases the value of assets (iii) an increase in the volatility parameter increases the value of asset pricing (iv) , (v) a measure of parameter shows the various levels of long term investment plans . Finally, the normality probability plots are not statistically significant and besides do come from a common distribution which has a vital meaning in the assessment of asset values for capital market investments. However, the Tables, graphs and other stock variables were discussed. The governing investment equation is reliable and therefore is found to be adequate.
随机变量对股票市场价格分析的影响
本文考虑了模型中带有若干附加参数的随机微分方程。通过采用伊藤定理得到一个解析解来解决这个问题,这个解析解被用来产生各种资产价格的各种差异。资产价值是通过一些关键随机变量的影响获得的,如下所示:(i)当固定时增加增加资产回报的价值(ii)当回报率和股票波动率固定时,时间上的一点增加也增加了资产的价值(iii)波动率参数的增加增加了资产定价的价值(iv), (v)参数的度量显示了长期投资计划的各个水平。最后,正态概率图不具有统计显著性,而且确实来自一个共同的分布,这在资本市场投资的资产价值评估中具有重要意义。然而,讨论了表格、图表和其他股票变量。控制投资方程是可靠的,因此是充分的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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