An Integrated Framework for Classification and Selection of Stocks for Portfolio Construction: Evidence from NSE, India

  • Sayan Gupta Department of Management Studies, NIT, Durgapur, India
  • Gautam Bandyopadhyay Department of Management Studies, NIT, Durgapur, India
  • Sanjib Biswas Department of Management Studies, NIT, Durgapur, India
  • Arup Mitra Department of Management Studies, MAKAUT, Haringhata, India
Keywords: Efficient stock portfolios (ESP), DP omnibus test, TOPSIS, Bayes Model


Investment extortion in the stock market is a crucial aspect considered by the investors. Therefore, investors implemented different strategies. This study was intended at constructing an investment portfolio (IP) of stocks within the NSE 100 listed companies of Non-parametric nature, fulfilling the basic premise of portfolio making that is, reducing risks while yielding an attractive return higher than any other instrument for the investors. Using DP omnibus test, the desired sample of companies following the non-normal distribution was achieved. Using financial beta, we have selected the outcome based on the nature of their ‘return’ and ‘risk'. We introduce TOPSIS (Technique for order of performance by similarity to ideal solution), a multi-criteria decision-making process (MCDM) to study the profitability of stocks, rank wise for each year, and finally, the Bayes portfolio model help to select the overall profitability associate with low risk for the construction of the portfolio.


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Author Biography

Gautam Bandyopadhyay, Department of Management Studies, NIT, Durgapur, India

Associate Professor of National Institute of Technology, Department of Management studies, Durgapur,India.


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How to Cite
Sayan Gupta, Gautam Bandyopadhyay, Sanjib Biswas, & Arup Mitra. (2022). An Integrated Framework for Classification and Selection of Stocks for Portfolio Construction: Evidence from NSE, India. Decision Making: Applications in Management and Engineering.
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