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首页> 外文期刊>Risk Governance & Control: Financial Markets & Institutions >APPLICATION OF MARKOWITZ MODEL IN ANALYSING RISK AND RETURN A CASE STUDY OF BSE STOCK
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APPLICATION OF MARKOWITZ MODEL IN ANALYSING RISK AND RETURN A CASE STUDY OF BSE STOCK

机译:MARKOWITZ模型在风险分析和回报中的应用-疯牛病案例研究。

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摘要

In this paper the optimal portfolio formation using real life data subject to two different constraint sets is attempted. It is a theoretical framework for the analysis of risk return choices. Decisions are based on the concept of efficient portfolios. Markowitz portfolio analysis gives as output an efficient frontier on which each portfolio is the highest return earning portfolio for a specified level of risk. The investors can reduce their risks and can maximize their return from the investment, The Markowitz portfolio selections were obtained by solving the portfolio optimization problems to get maximum total returns, constrained by minimum allowable risk level. Investors can get lot of information knowledge about how to invest when to invest and why to invest in the particular portfolio. It basically calculates the standard deviation and returns for each of the feasible portfolios and identifies the efficient frontier, the boundary of the feasible portfolios of increasing returns.
机译:在本文中,尝试使用受两个不同约束集约束的现实生活数据来优化投资组合。它是分析风险回报选择的理论框架。决策基于有效投资组合的概念。 Markowitz投资组合分析为输出提供了一个有效的边界,在该边界上,每个投资组合都是指定风险级别下收益最高的投资组合。投资者可以降低风险并可以从投资中获得最大的回报,通过解决投资组合优化问题以获得最大的总回报(受最小的允许风险水平约束)来获得Markowitz的投资组合选择。投资者可以获得有关如何投资,何时进行投资以及为何对特定投资组合进行投资的大量信息知识。它基本上计算每个可行投资组合的标准差和收益,并确定有效边界,增加收益的可行投资组合的边界。

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