Early detection of the financial crisis of developing countries

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Dede Ruslan, Rusiadi, Ade Novalina, Annisa Ilmi Faried Lubis

2018 International Journal of Civil Engineering and Technology Vol. 9 Issue 7 Article Cited by 7

Abstract

The paper examines the early detection model of the financial crisis of developing countries. The model used is APT Multifactor and Early Warning System. Data analysis using this is Vector Autoregression. The results show that most developing countries are particularly vulnerable to financial crises derived from exchange rates rather than from financial or stock positions. The most appropriate model in early detection of developing country financial crisis is the control of exchange rate and stock stability. Long-term foreign exchange reserves can be used as a model to detect financial crisis. © IAEME Publication.

Affiliations

Faculty of Economics, Universitas Negeri Medan, Medan, Indonesia; Faculty of Social Science, Universitas Pembangunan Panca Budi, Medan, Indonesia