Risk – return evaluation of selected pharma stocks trading in nse

V Lava Kumar, S Asha Jyothi
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Abstract

The main objective of this paper is to find the performance of selected equity stocks of Pharma industry on a long term basis.This paper includes different tools for evaluating the performance of the selected Pharma stocks. Some of the tools like standard deviation, Beta and Average returns are mainly used to calculate the risk and return of selected Pharma stocks in this study. The Pharma Sector occupies a position of importance in the Indian Economy. Stock markets play a predominant role in the up-liftment of the Indian Economy financially. Stock markets plays crucial role in the economic development of an investor. Indian financial markets also play a crucial role for the economic well being of the nation. Since secondary market is a part of financial market, it has major percent of share of contribution in the development of Indian Economy. In the present paper we are trying to evaluate the long term performance of Pharma industry with the help of evaluation of selected Pharma stocks. This evaluation is done on the basis of some statistical tools. The time period for evaluation is 5 years.
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股票交易的风险收益评价
本文的主要目的是在长期的基础上找到医药行业股票的表现。本文包括不同的工具来评估所选的制药股的表现。本研究主要使用标准差、Beta和平均收益等工具来计算所选医药股的风险和收益。制药行业在印度经济中占有重要地位。股票市场在印度经济的财政提升中发挥着主导作用。股票市场在投资者的经济发展中起着至关重要的作用。印度金融市场对国家的经济福祉也起着至关重要的作用。二级市场作为金融市场的一部分,对印度经济的发展贡献了很大的份额。在本文中,我们试图通过对所选医药股的评价来评估医药行业的长期绩效。这种评估是在一些统计工具的基础上完成的。评估期限为5年。
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来源期刊
Journal of Management Information and Decision Science
Journal of Management Information and Decision Science Decision Sciences-Information Systems and Management
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0.00%
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期刊介绍: Journal of Management Information and Decision Sciences (JMIDS) is a reputed open access journal affiliated to Allied Business Academies. The journal focuses on disseminating the latest research in the field of management information system and its role in decision making, as well their relationships to cognate disciplines including Economics, Finance, Management, Management Science, Marketing, Statistics, Operations Research and Engineering. The journal adheres to stringent double blind peer review policy to maintain the publication quality.
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