Using a Dominance-based Rough Set Approach for Analysing Business Indicators

Couto, Carlos; Gaia, Ayrton Benedito

doi:10.1016/j.procs.2015.07.062

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The elements (months) of the approximate set were approved from the decision rule (A) for calculating and estimating the rate of return for stocks, the research sample, and excluding the category (B), and they are clarified as follows: For analyzing business indicators using Rough Set Theory, the study (Couto, 2015) indicated that it provides a more important view of investment decisions and measuring the performance of potential competitors .…”

Section: Table (1) Displays the Stock Returns For Companies In The Industrial Sector And From It The Decision Categories (mentioning

confidence: 99%

“…For analyzing business indicators using Rough Set Theory, the study (Couto, 2015) indicated that it provides a more critical view of investment decisions and measuring the performance of potential competitors. To determine futures trading strategies, the study (Kim & Enke, 2016), in applying the theory of Rough Set, confirmed the achievement of profitable results for both the buy and hold strategy.…”

Section: Introductionmentioning

confidence: 99%

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Estimating Stock Returns Using Rough Set Theory: An Exploratory study With An Evidence From Iraq Stock Exchange

Adnan¹,

Isma'eel²

2021

JEAS

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‎ This research aims to estimate stock returns, according to the ‎Rough Set Theory ‎approach, ‎test ‎its effectiveness and accuracy in predicting stock returns and their potential in the ‎field of ‎financial ‎markets, and rationalize investor decisions. The research sample is totaling (10) ‎companies traded at Iraq Stock Exchange. The results showed a remarkable ‎ ‎Rough Set Theory application in data reduction, contributing to the rationalization of ‎investment ‎decisions. The most prominent conclusions are the capability of rough set theory ‎in ‎dealing with financial data and applying it for forecasting stock ‎returns.‎The ‎research provides those interested in investing stocks in financial markets ‎with ‎significant financial analysis tools that exceed the traditional statistical methods. ‎The ‎originality ‎of the research lies in the diversification of financial and statistical analysis tools ‎and ‎methods of ‎forecasting stock returns

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Section: Table (1) Displays the Stock Returns For Companies In The Industrial Sector And From It The Decision Categories (mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%