Determining The Optimal Portfolio Markowitz Model on Moving Stock Prices Using Brown Motion Geometry

Fikrianto Suhariman, Agung Prabowo, Ari Wardayani
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Abstract

Stock price movements that fluctuate and follow a stochastic process will make it difficult for investors to start investing. For that, we need a stochastic mathematical model. The Brownian geometry motion model is one of the stochastic models that can be used to display the condition of a stock's price movement. Investment is related to the rate of return (return) and the risk obtained. The higher the rate of return obtained, the higher the risk obtained. Therefore, a portfolio calculation is needed, one of which is using the Markowitz model. The Markowitz model can be used to determine the optimal portfolio. The purpose of this study is to model stock prices and form an optimal portfolio. The stock price data used are BBRI, TLKM, and ADRO for the period from 1 July 2021 to 31 August 2022. The results obtained from this study are that there are three portfolio preferences. If investors like high risk to get high returns, then the combined allocation of funds for BBRI, TLKM and ADRO shares is 10.51%, 42.05% and 47.44% respectively. If investors do not like high risk but still want to get a return that is balanced with risk, then the combination of fund allocation for shares of BBRI, TLKM and ADRO is 22.62%, 46.63% and 30.75%, respectively. If the investor chooses minimum risk, the combined allocation of BBRI, TLKM and ADRO shares is 34.73%, 51.21% and 14.06%, respectively.
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用布朗运动几何确定股票价格变动的最优投资组合马科维茨模型
股票价格波动并遵循随机过程将使投资者难以开始投资。为此,我们需要一个随机数学模型。布朗几何运动模型是一种可以用来显示股票价格运动状况的随机模型。投资与收益率(收益率)和所获得的风险有关。获得的回报率越高,获得的风险也就越大。因此,需要进行投资组合计算,其中之一就是使用马科维茨模型。马科维茨模型可以用来确定最优投资组合。本研究的目的是建立股票价格模型并形成最优投资组合。使用的股票价格数据为2021年7月1日至2022年8月31日的bbi、TLKM和ADRO。研究结果表明,投资组合存在三种偏好。如果投资者喜欢高风险以获得高回报,那么bbi、TLKM和ADRO股票的资金组合配置分别为10.51%、42.05%和47.44%。如果投资者不喜欢高风险,但仍希望获得与风险平衡的回报,那么对bbi、TLKM和ADRO股票的资金配置组合分别为22.62%、46.63%和30.75%。如果投资者选择风险最小,则bbi、TLKM和ADRO股份的组合配置分别为34.73%、51.21%和14.06%。
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