Pay Senedi̇ Fi̇yatlarinin Bulanik Mantik Yaklaşimi İle Tahmi̇n Edi̇lmesi̇

Kanat, Ersin; DİLEK, Şener

doi:10.17130/ijmeb.2018445666

Cited by 1 publication

(1 citation statement)

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“…In their study titled "Estimation of Stock Prices with Fuzzy Logic Approach: A Research in BIST Industry Sector", Kanat and Dilek (2018) established a system providing buy-sell signal by combining technical analysis, fundamental analysis, and market anomalies. Then, they used it on BIST 30 companies by relevant method and different criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the Financial Ratios and Profitability of Companies by Using Anfis: A Study on Leather and Clothing Industries Traided in Bist

Arslan

Polatgil

ARSLAN

2022

Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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This study aims to predict Return on Equity (ROE), Return on Assets (ROA), and Return on Sales (ROS) of the textile industry companies traded in Borsa İstanbul (BİST). For this purpose, a dataset was prepared using 7-year (2013-2019) liquidity, financial structure, operation, and rate of return data of 20 companies operating in the textile industry. The financial ratios of these companies were subjected to principal components analysis and it was determined that the first 4 components explained approx. 84% of all the data. These first 4 components with eigenvalues higher than 1 were modeled using ANFIS and, as a result of the experimental study, it was determined that the model was successful at predetermining the companies’ return on equity at the level of 81%, return on assets at the level of 79%, and net profit margin at the level of 71%.

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Section: Literature Reviewmentioning

confidence: 99%