الفهرس 
الملخص
الأزمة: المفهوم والخصائصيوجد فقط 14 صفحة متاحة للعرض العام
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المستخلص
The study aims at Developing Integrated Systems for Early Warning of Financial and Economic Crises. It employs Econometrics Tools analysis (VAR models, Cointegration test, SVAR models, Granger Causality, Impulse Response Functions, and Variance Decomposition).
The study uses a modified World Bank methodology and CAMEL standards for Building Early Warning Systems with application to Thailand and Mexico.
The suggested Early warning system Contributes significantly in forecasting Financial and Economic Crises.
Models in this study allows prediction of ten quarters values of future crises in Thailand and Mexico.
Regarding the Yemeni Economy, although the country faces complicated problems of economic, political and cultural origins, crisis management policies do not exist.
The study recommends for future study building neural network model.