Designing an Inference System for Expert System to Assess and Select Investment Fund in Iran Based on Fund Features: The Rough Theory Approach

Subject Areas : Journal of Investment Knowledge

Reza  Tehrani ¹ (Professor of Financial Management, Faculty of Management, University of Tehran.)
Mohammad Ali  Mirza Kochak Shirazi ² (Ph.D. student of financial management, Faculty of Management, University of Tehran, Kish International Campus,)
Sayyed Mojtaba  Mirlohi ³ (Assistant Professor, Faculty of Industry and Management, Shahrood University of Technology,)

Received: 2019-04-16 Accepted : 2019-04-24 Published : 2021-03-21

Keywords: Investment Fund, Expert system, Rough Theory, Investment Fundamentals, Sharp index,

Abstract :

Given the large number of investment funds, their different performance in the past and their different characteristics, choosing the appropriate investment fund is important for investors. In addition to past performance including risk and return, there are several structural and behavioral factors that can affect the return on investment fund. These factors can include size, fund costs, management fees, portfolio turnover ratios, cash flow, fund life, focus, location, experience and management skills, gender management, volume of transactions, governance structure of equity funds, etc. On the other hand, if the factors affecting decision making are known, the process of analyzing, interpreting and selecting the fund is also unknown

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