Date Published:
Jun 01, 1998
Focus Area(s):
Author(s):
Code:
DP 1998-40

After the onset of the East Asian financial crisis, the interest in early warning system has been revived. While there are different causes to which crises can be attributed, early warning system can be utilized to predict its emergence via monitoring of key economic variables. Thus, policymakers are granted sufficient time to implement policy measures meant to minimize the adverse impacts of the crisis, if not to completely curb it. Although there are other methods to identify possible indicators, like the probability approach, the EWS developed by Kaminsky and Reinhart, is used in this paper because of various issues the probability approach are not capable of addressing. The concept of EWS is then applied to the Philippines. The study has identified two episodes of currency crises: October 1983 and September 1997. However, the computation of time-series probabilities is slightly modified. Results lend validity to the hypothesis of self-fulfilling crisis.

Citations

This publication has been cited 5 times

In other Publications
  1. Boitan, Iustina. 2012. Development of an early warning system for evaluating the credit portfolio's quality: A case study on Romania. Prague Economic Papers, 2012, no. 3, 347-362. Prague University of Economics and Business.
  2. Lamberte, Mario B. and Josef T. Yap. 2001. Monitoring economic vulnerability and performance: Applications to the Philippines. Discussion Papers DP 2001-11. Philippine Institute for Development Studies.
  3. Lin, Chin-Shien et. al. 2008. A new approach to modeling early warning systems for currency crises: Can a machine-learning fuzzy expert system predict the currency crises effectively?. Journal of International Money and Finance, 27, no. 7, 1098-1121. Elsevier.
  4. Lin, Chin-Shien et. al. 2006. A new approach to modeling early warning systems for currency crises: Can a machine-learning fuzzy expert system predict the currency crises effectively?. CIRJE F-Series CIRJE-F-411. CIRJE, Faculty of Economics, University of Tokyo.
  5. Lin, Chin-Shien et. al. 2006. A new approach to modeling early warning systems for currency crises: Can a machine-learning fuzzy expert system predict the currency crises effectively?. CARF F-Series CARF-F-065. Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.


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