کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
999188 936789 2008 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predicting sovereign debt crises using artificial neural networks: A comparative approach
موضوعات مرتبط
علوم انسانی و اجتماعی اقتصاد، اقتصادسنجی و امور مالی اقتصاد، اقتصادسنجی و مالیه (عمومی)
پیش نمایش صفحه اول مقاله
Predicting sovereign debt crises using artificial neural networks: A comparative approach
چکیده انگلیسی

Recent episodes of financial crisis have revived interest in developing models able to signal their occurrence in timely manner. The literature has developed both parametric and non-parametric models, the so-called Early Warning Systems, to predict these crises. Using data related to sovereign debt crises which occurred in developing countries from 1980 to 2004, this paper shows that further progress can be achieved by applying a less developed non-parametric method based on artificial neural networks (ANN). Thanks to the high flexibility of neural networks and their ability to approximate non-linear relationship, an ANN-based early warning system can, under certain conditions, outperform more consolidated methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Financial Stability - Volume 4, Issue 2, June 2008, Pages 149–164
نویسندگان
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