Paper
10 July 2009 An analysis of the early-warning system in emerging markets for reducing the financial crisis
Xiangguang Shen, Xiaozhong Song
Author Affiliations +
Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74901N (2009) https://doi.org/10.1117/12.836761
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
The large number of financial crises in emerging markets over the past ten years has left many observers, both from academia and financial institutions, puzzled by an apparent lack of homogenous causal relations between endogenous economic variables and the bursting of large financial shocks. The frequency of financial crises in the last 20 years can be attributed to the lack of a comprehensive theory of financial regulation to guide policy makers. Existing theories fail to define the range of regulatory models, the causes of regulatory failure, and how to measure and prevent it. Faulty design of regulatory models, and the lack of ongoing performance monitoring incorporating early warning systems, is disrupting economic and social development. The main aim of this article is to propose an early warning system (EWS) which purposes issuing warning signal against the possible financial crisis in the emerging market, and makes the emerging market survived the first wave of the crisis be able to continue their operation in the following years.
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Xiangguang Shen and Xiaozhong Song "An analysis of the early-warning system in emerging markets for reducing the financial crisis", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74901N (10 July 2009); https://doi.org/10.1117/12.836761
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KEYWORDS
Performance modeling

Silicon

Systems modeling

Analytical research

Artificial intelligence

Intelligence systems

Machine learning

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