IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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Development of an Early Warning System based on Artificial Intelligence

인공지능기법을 이용한 외환위기 조기경보시스템 구축

  • Kwon, Byeung-Chun (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology) ;
  • Cho, Nam-Wook (Department of Industrial and Information System Engineering, Seoul National University of Science and Technology)
  • 권병천 (서울과학기술대학교 IT정책대학원) ;
  • 조남욱 (서울과학기술대학교 글로벌융합산업공학과)
  • Received : 2011.08.23
  • Accepted : 2012.02.04
  • Published : 2012.09.01
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Abstract

To effectively predict financial crisis, this paper presents an early warning system based on artificial intelligence technologies. Both Genetic Algorithms and Neural Networks are utilized for the proposed system. First, a genetic algorithm has been developed for the effective selection of economic indices, which are used for monitoring financial crisis. Then, an optimum weight of the selected indices has been determined by a neural network method. To validate the effectiveness of the proposed system, a series of experiments has been conducted by using the Korean economic indices from 2005 to 2008.

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References

  1. Angkinand, A., Li, J., Willett, T. (2006), Measures of Currency Crises : A Survey, Forthcomming in : International Interaction.
  2. Berg, A., Borensztein, E., and Pattillo, C. (2004), Assessing Early Warning Systems : How Have They Worked in Practice?, WP/04/52, International Monotary Fund (IMF).
  3. Bussiere, M. and Fratzscher, M. (1990), Towards a New Early Warning System of Financial Crises, Journal of International Money and Finance.
  4. Dayhoff, Judith E. (1990), "Neural Network Architectures : An introduction", Van Nostrand Reinhold.
  5. Eichengreen, B., Rose, A. K., and Wyplosz, C. (1995), Exchange Market Mayhem; The Antecedents and Aftermath of Speculative Attacks, Economics Policy, 21(10), 249-312.
  6. Kaminsky, G. (1998), Currency and Banking Crises : The Early Warnings of Distress, International Finance Discussion Paper No. 629, Washington : Board of Governors of the Federal Reserve System.
  7. Kaminsky, G., Lizondo, S., and Reinhart, C. M. (1998), Leading Indicators of Currency Crises, IMF Staff Papers.
  8. Park, C. H., Kim, H. D., Yang, H. C., and Sim, K. B. (2006), Genetic Algorithm Based Feature Selection Method Development for Pattern Recognition, Journal of Fuzzy Logic and Intelligent Systems. https://doi.org/10.5391/JKIIS.2006.16.4.466
  9. Park, W. A. and Choi, G. P. (1998), Prediction of Financial Crisis by using Signaling Approach, Journal of Economic Theory and Econometrics.
  10. Shin, D. H. (2010), A study on early warning system in Korea foreign exchange market, Yonsei University Graduate School.