Performance of Optimum Sharp Portfolio and CAPM Portfolio for Sustainability of Small Investors

D. Chattopadhyay, Sibnath Banerjee, Sanjeev Kumar Srivastaw
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Abstract

Purpose: Investment growth is essential for the prosperity of an economy. Saved money is used for investment. It is scarce in a country like India. So, optimal use of this saved fund is required. Markowitz stated that best use is possible by creating a diversified portfolio to minimize risk. Ordinary people have limited funds and knowledge of the stock market. So diversified portfolio should be formed by purchasing a minimum number of stocks. Objective: of this research analysis is to form optimum portfolios by using different methods. They are compared to know the best one which can provide the maximum return per unit of risk by using the minimum number of stocks in the portfolio formation. The uniqueness of this research is to identify numeric advantages in optimum portfolio formation from an Indian context. Methodology: Analysis is based on daily price movement data of the Nifty 50 index. An optimum portfolio is formed first by using the Sharp optimum portfolio method, where stocks are selected on the basis of cut off rate C with weight factor Xi. Then selected stocks of Sharp model are combined by using the CAPM beta diversification technique. Risk minimizing weight factors are used here. These two portfolios are compared to judge minimum risk achievement with low volume of stocks. Conclusion: Optimum portfolios performances are compared again with actual data from next year. From this research analysis, beta diversification was found to be the best option. Limitation: More than two years analysis can give solidarity in the conclusion.
最优夏普投资组合和CAPM投资组合对小投资者可持续性的影响
目的:投资增长对经济繁荣至关重要。省下来的钱用于投资。它在印度这样的国家是稀缺的。因此,需要最优地利用这些节省下来的资金。马科维茨表示,通过创建多样化的投资组合来最大限度地降低风险,可以实现最佳利用。普通人的资金有限,对股市的了解也有限。所以多元化的投资组合应该通过购买最少数量的股票来形成。本研究分析的目的是利用不同的方法形成最优的投资组合。将它们进行比较,以了解在投资组合中使用最少数量的股票,可以提供每单位风险最大回报的最佳投资组合。本研究的独特之处在于从印度的背景下确定最佳投资组合形成的数字优势。方法:分析基于Nifty 50指数的每日价格变动数据。然后运用CAPM分散技术对夏普模型中选择的股票进行组合。这里使用风险最小化权重因子。将这两种投资组合进行比较,以判断低存量股票的最小风险成就。结论:优化后的投资组合业绩与次年的实际数据进行了对比。通过本研究分析,贝塔分散投资是最佳选择。局限性:两年以上的分析可以得出一致的结论。
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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