Theoretical Modelling of Stock Price Dynamics in Stock Markets Using A Phynance Approach

L. Mushunje
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Abstract

In this paper we present time to time price dynamics associated with stock assets within stock markets. Our conjecture was that, stock prices are stochastic and time variant as such they do attain and possess different values from time to time. We then centrally aimed to model this old way phenomenon of stock price dynamics using a distinct model from the physics field so as to substantially expose the core idea of phynance on an open academic space. We used the two-form of Schrödinger wave Equation (SWE) to fully model our core study. We derived the time part and space (market) value functions for stock assets from the SWE. Meaning that, we managed to derive the time function measuring the time intervals taken by stock assets in the market space and the market value function which gives out the value of stocks without any time factor. Our results suggested that, stock price dynamics can well be modelled and presented using both time independent Schrödinger equation (TISE) and time dependent Schrödinger equation (TDSE) with traceable stock price and time changes. This supported our conjecture and our model proposition as stock prices are traditionally known to be stochastic in nature and normally they are non-stationary. As such we safely concluded that, physics indeed play important roles when modelling finance problems, hence phynance should be well credited in finance as it presents fruitful and powerful abstractions of the real time happenings in the financial markets.
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股票市场中股票价格动态的物理建模
在本文中,我们提出了股票市场中与股票资产相关的时间-时间价格动态。我们的推测是,股票价格是随机的和时变的,因此它们确实会不时地获得并具有不同的价值。然后,我们集中致力于使用一个与物理学领域不同的模型来模拟这种老式的股价动态现象,以便在一个开放的学术空间上充分揭示物理学的核心思想。我们使用两种形式的薛定谔波动方程(SWE)来对我们的核心研究进行全面建模。我们从SWE中导出了股票资产的时间部分和空间(市场)价值函数。也就是说,我们成功地推导出了衡量股票资产在市场空间中的时间间隔的时间函数,以及在没有任何时间因素的情况下给出股票价值的市场价值函数。我们的结果表明,使用具有可追踪股价和时间变化的时间无关薛定谔方程(TISE)和时间相关薛定谔方程(TDSE),可以很好地建模和呈现股价动态。这支持了我们的猜想和模型命题,因为股票价格传统上是随机的,通常是非平稳的。因此,我们有把握地得出结论,物理学在建模金融问题时确实发挥着重要作用,因此物理学在金融中应该得到很好的赞扬,因为它对金融市场中实时发生的事情进行了富有成效和强大的抽象。
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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