乘效应序列下资产收益的随机分析

L. E. Ebakpa, I. Amadi, R. G. Nchelem, P. A. Azor
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摘要

资产价值及其回报率的关键重要性与随着时间的推移财富增长的投资基金有关。本文考虑了资产价值检验的随机模型。研究中使用了Oando, PLC的12个月(2022年)初始收盘价数据。利用伊藤定理对问题进行了精确解析求解,并通过乘数效应级数得到了控制资产价格收益率的封闭解。比较了随机微分方程(SDEs)和随机延迟微分方程(SDDEs)资产价值之间的经验例证,为Oando PLC提供决策方面的信息。然而,使用Kolmogorov-Smirnov (KS)分析了资产价格价值的行为。为此目的,相应给出了图形解决办法和有关存量变量的影响。
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Stochastic Analysis of Asset Returns Which Follows Multiplicative Effects Series
The key importance of asset values and it return rates are geared towards investment funds which grows wealth over time. This paper considered stochastic models where asset values were examined. A twelve (12) months (2022) initial closing stock price data of Oando, PLC, were used in the study. The problems were accurately solved analytical by means of Ito’s theorem and a closed form solutions were obtained which governed asset price return rates through multiplicative effects series. The empirical illustrations between Stochastic Differential Equations (SDEs) and Stochastic Delay Differential Equations (SDDEs) asset values were compared to inform Oando PLC in terms of decision making. However, the behaviour on the value of asset prices were analysed using Kolmogorov-Smirnov (KS).  To this end,   graphical solutions and the effects of the relevant stock variables were conferred accordingly.
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