Analysis of Factors Affecting Stock Selection Using Logarithmic Fuzzy Preference Programming Approach
Subject Areas : مدیریت صنعتی
Daryush Farid
1
,
َAbolfazl Dehghani firoozabadi
2
,
Davood Andalib Ardakani
3
,
hamidreza mirzaei
4
1 - Associate Professor, Department of Accounting and Finance, Faculty of Economics, Management and Accounting, Yazd University
2 - PhD student in financial management, Department of Accounting and Finance, Faculty of Economics, Management and Accounting, Yazd University
3 - PhD student in financial management, Department of Accounting and Finance, Faculty of Economics, Management and Accounting, Yazd University
4 - Assistant Professor, Department of Accounting and Finance, Faculty of Economics, Management and Accounting, Yazd University
Keywords: Stock market, stock portfolio, fuzzy logarithmic preference programming,
Abstract :
The stock market is especially important as a capital investment instrument both for the investor and for the investor. Stock markets are affected not only by large parameters but also by thousands of other factors. The high number and unknown factors affecting stock prices, as well as the complexity of the relationship between these factors and the stock price, have caused uncertainty in the field of investment. One of the tools to reduce uncertainty and the most important discussion of investing in the stock exchange is the selection of the stock portfolio optimally. In this study, through interviewing experts and reviewing existing documents, 6 main criteria for identifying the optimal stock portfolio selection were identified. Using logistic fuzzy preferential programming, weighing these criteria and, finally, weighting the indexes related to We defined each criterion. The results show that the criteria for profitability, efficiency and risk are the most important criteria in choosing stock portfolios