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Information Journal Paper

Title

FORECASTING FINANCIAL RATIOS BY USING ARTIFICIAL NEURAL NETWORKS IN COMPANIES LISTED IN TEHRAN STOCK EXCHANGE

Pages

  65-75

Abstract

 In financial analysis, it is assumed that the past is the basis of the future. Financial statements reflect the results of past efforts and thus they are the guidelines of decision making. One of the tools often used to determine a company’s financial position is the analysis of FINANCIAL RATIOS. In fact, FINANCIAL RATIOS make clear many important realities about the operations and financial conditions of a company. The aim of studying and predicting FINANCIAL RATIOS is to help managers, investors and especially creditors of the companies to evaluate financial performance, financial position and FORECASTING any bankruptcy or profitability. In this study, the neural network tools will be used to predict FINANCIAL RATIOS used. So, liquidity ratios group, activity, leverage and profitability are considered as hypotheses. The data are collected through 23 automobile companies during 1998-2010 and multi-layer neural network feed-forward model. The results show that liquidity ratios are not predictable, but activity ratios can be foretold by regression rather than neural network. But, in leverage and profitable ratios group, neural networks work highly better than regression in predicting FINANCIAL RATIOS optimally.

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    Cite

    APA: Copy

    MADRAKIAN, H., MOVAHEDI, M.M., TABIBIRAD, V., & TABIBIRAD, M.. (2012). FORECASTING FINANCIAL RATIOS BY USING ARTIFICIAL NEURAL NETWORKS IN COMPANIES LISTED IN TEHRAN STOCK EXCHANGE. JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR), 9(SUPPLEMENT), 65-75. SID. https://sid.ir/paper/151384/en

    Vancouver: Copy

    MADRAKIAN H., MOVAHEDI M.M., TABIBIRAD V., TABIBIRAD M.. FORECASTING FINANCIAL RATIOS BY USING ARTIFICIAL NEURAL NETWORKS IN COMPANIES LISTED IN TEHRAN STOCK EXCHANGE. JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR)[Internet]. 2012;9(SUPPLEMENT):65-75. Available from: https://sid.ir/paper/151384/en

    IEEE: Copy

    H. MADRAKIAN, M.M. MOVAHEDI, V. TABIBIRAD, and M. TABIBIRAD, “FORECASTING FINANCIAL RATIOS BY USING ARTIFICIAL NEURAL NETWORKS IN COMPANIES LISTED IN TEHRAN STOCK EXCHANGE,” JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR), vol. 9, no. SUPPLEMENT, pp. 65–75, 2012, [Online]. Available: https://sid.ir/paper/151384/en

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