Quantitative Analysis of Stock Portfolio: Taking Six Technology Companies as Example

Heng Li, Xiaoxi Zhu, Xiao Wang
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Abstract

This article introduces a quantitative analysis method of selected stocks with Python. Firstly, the portfolio weight of the six selected technology stocks with maximum Sharpe Ratio was determined. Secondly, the performance of the portfolio according to the historical data was back-tested. Also, Fama-French three-factor model was used to analyze the factors that might affect the stock price and a regression analysis was done on these factors. Through quantitative analysis, the portfolio weights with maximum Sharpe Ratio and minimum volatility of target stocks could be given out respectively.
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股票投资组合的定量分析——以六家科技公司为例
本文介绍了一种用Python对精选股票进行定量分析的方法。首先,选取夏普比率最大的6只科技股,确定其投资组合权重;其次,根据历史数据对投资组合的表现进行回测。采用Fama-French三因素模型分析可能影响股价的因素,并对这些因素进行回归分析。通过定量分析,可以分别给出目标股夏普比最大和波动率最小的组合权重。
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