The Prediction of the Risk of Financial Bankruptcy Using Hybrid Model in Tehra

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Ramooz Najmeh; MAHMOUDI MARYAM

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF FINANCIAL MANAGEMENT STRATEGY Year:2017 | Volume:5 | Issue:1 (16) Page(s): 51-75

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

16,376

Download:

Cites:

Information Journal Paper

Title

The Prediction of the Risk of Financial Bankruptcy Using Hybrid Model in Tehra

Author(s)

Ramooz Najmeh | MAHMOUDI MARYAM | Issue Writer Certificate

Keywords

Risk of Financial BankruptcyQ2

Accounting VariablesQ2

Market-Driven VariablesQ2

Hybrid ModelQ1

Neural NetworkQ2

Abstract

Predicting the Risk of Financial Bankruptcy is one of the most important issues in the field of companies’ financial decision. Accordingly, a variety of models that each is different in terms of predictor variables and techniques has been introduced so far. The use of the combination of accounting and Market-Driven Variables in the model as input will have definitely a direct impact on the results and accuracy of forecasts. In this study, the prediction was accomplished by using a Hybrid Model (the use of accounting and Market-Driven Variables) and Neural Networks technique of multi-layer perceptron model (MLP). The sample of research consists of 90 accepted companies in Tehran Stock Exchange (31 bankrupted companies in accordance with article Iran’ s 141 trade laws and 59 non-bankrupted companies) during 2007-2014 period. The research results show that the Hybrid Model (combination of accounting and Market-Driven Variables) using Neural Network technique has higher accuracy than each of the two accounting models and market-driven model in predicting the Risk of Financial Bankruptcy. Likewise, the market-driven model is more accurate than accounting model.

Cites

No record.

References

No record.

Cite

APA: Copy

Ramooz, Najmeh, & MAHMOUDI, MARYAM. (2017). The Prediction of the Risk of Financial Bankruptcy Using Hybrid Model in Tehra. JOURNAL OF FINANCIAL MANAGEMENT STRATEGY, 5(1 (16) ), 51-75. SID. https://sid.ir/paper/261622/en

Vancouver: Copy

Ramooz Najmeh, MAHMOUDI MARYAM. The Prediction of the Risk of Financial Bankruptcy Using Hybrid Model in Tehra. JOURNAL OF FINANCIAL MANAGEMENT STRATEGY[Internet]. 2017;5(1 (16) ):51-75. Available from: https://sid.ir/paper/261622/en

IEEE: Copy

Najmeh Ramooz, and MARYAM MAHMOUDI, “The Prediction of the Risk of Financial Bankruptcy Using Hybrid Model in Tehra,” JOURNAL OF FINANCIAL MANAGEMENT STRATEGY, vol. 5, no. 1 (16) , pp. 51–75, 2017, [Online]. Available: https://sid.ir/paper/261622/en

Related Journal Papers