FORECASTING THE LEVERAGE LISTED COMPANIES IN TEHRAN STOCK EXCHANGE WITH THE HELP OF SIMULATING MODELS

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OSOOLIAN MOHAMMAD; KOR AIJAMAL

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Journal: FINANCIAL RESEARCH Year:2017 | Volume:19 | Issue:1 Page(s): 1-22

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Title

FORECASTING THE LEVERAGE LISTED COMPANIES IN TEHRAN STOCK EXCHANGE WITH THE HELP OF SIMULATING MODELS

Author(s)

OSOOLIAN MOHAMMAD | KOR AIJAMAL | Issue Writer Certificate

Keywords

LEVERAGE SIMULATIONQ2

STABILITY OF TARGET CAPITAL STRUCTUREQ2

TARGET LEVERAGEQ2

TIME-VARYING TARGET RATIOS MODELSQ2

Abstract

Reviewing trend and forecasting the debt ratio is one of the attractive topics for investors, managers, financial analysts and creditors. In this research, in order to forecasting debt ratio for listed companies in Tehran Stock Exchange, TARGET LEVERAGE and speed of adjustment to the TARGET LEVERAGE were used in four simulation models. first, The process and the stability of the capital structure were investigated on a seasonal period of 11 years from the first quarter of 1383 to the third quarter of 1393. The results indicate that, If the review period of stability regime is prolonge, sustainable regime will be less. Often, sustainable regime occured in debt ratios higher than 4.0. The results of the simulation indicate that TIME-VARYING TARGET RATIOS MODELS and Flexible Target Zone Models have best function in debt ratio simulation in real data.

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APA: Copy

OSOOLIAN, MOHAMMAD, & KOR, AIJAMAL. (2017). FORECASTING THE LEVERAGE LISTED COMPANIES IN TEHRAN STOCK EXCHANGE WITH THE HELP OF SIMULATING MODELS. FINANCIAL RESEARCH, 19(1 ), 1-22. SID. https://sid.ir/paper/91238/en

Vancouver: Copy

OSOOLIAN MOHAMMAD, KOR AIJAMAL. FORECASTING THE LEVERAGE LISTED COMPANIES IN TEHRAN STOCK EXCHANGE WITH THE HELP OF SIMULATING MODELS. FINANCIAL RESEARCH[Internet]. 2017;19(1 ):1-22. Available from: https://sid.ir/paper/91238/en

IEEE: Copy

MOHAMMAD OSOOLIAN, and AIJAMAL KOR, “FORECASTING THE LEVERAGE LISTED COMPANIES IN TEHRAN STOCK EXCHANGE WITH THE HELP OF SIMULATING MODELS,” FINANCIAL RESEARCH, vol. 19, no. 1 , pp. 1–22, 2017, [Online]. Available: https://sid.ir/paper/91238/en

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