Modeling Country Risks: An Asian Perspective
This paper investigates the use of the Markov Regime Switching Model (MRSM) as a means to track changes in the levels of investor confidence. It also assesses the probabilities of a country switching between different regimes using the transition probability matrix. A maximum of three possible level...
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sg-smu-ink.soe_research-20762019-04-27T05:01:45Z Modeling Country Risks: An Asian Perspective TAN, Swee Liang TAN, G. K. Randolph This paper investigates the use of the Markov Regime Switching Model (MRSM) as a means to track changes in the levels of investor confidence. It also assesses the probabilities of a country switching between different regimes using the transition probability matrix. A maximum of three possible levels or regimes of risk – low, intermediate and high volatility regimes, is considered. From the smoothed probabilities calculated for different regimes, this paper makes inferences about timings of debt crisis. Comparing Brazil, Mexico, the Philippines and Indonesia in particular, we date the onset and subsequent dissolution of crisis-induced panic. We give interpretations of the results based on evidences of debt crisis. The objective is to investigate if there is information in the transition probability matrix and smoothed probabilities that country risk managers can use to make assessment on risk condition. 2007-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1077 https://ink.library.smu.edu.sg/context/soe_research/article/2076/viewcontent/CountryRiskAnalysis_MarkovRegimeSwitchingModel.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Debt crisis Country risk assessment Markov regime switching model Asian Studies International Economics |
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Debt crisis Country risk assessment Markov regime switching model Asian Studies International Economics TAN, Swee Liang TAN, G. K. Randolph Modeling Country Risks: An Asian Perspective |
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This paper investigates the use of the Markov Regime Switching Model (MRSM) as a means to track changes in the levels of investor confidence. It also assesses the probabilities of a country switching between different regimes using the transition probability matrix. A maximum of three possible levels or regimes of risk – low, intermediate and high volatility regimes, is considered. From the smoothed probabilities calculated for different regimes, this paper makes inferences about timings of debt crisis. Comparing Brazil, Mexico, the Philippines and Indonesia in particular, we date the onset and subsequent dissolution of crisis-induced panic. We give interpretations of the results based on evidences of debt crisis. The objective is to investigate if there is information in the transition probability matrix and smoothed probabilities that country risk managers can use to make assessment on risk condition. |
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text |
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TAN, Swee Liang TAN, G. K. Randolph |
author_facet |
TAN, Swee Liang TAN, G. K. Randolph |
author_sort |
TAN, Swee Liang |
title |
Modeling Country Risks: An Asian Perspective |
title_short |
Modeling Country Risks: An Asian Perspective |
title_full |
Modeling Country Risks: An Asian Perspective |
title_fullStr |
Modeling Country Risks: An Asian Perspective |
title_full_unstemmed |
Modeling Country Risks: An Asian Perspective |
title_sort |
modeling country risks: an asian perspective |
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Institutional Knowledge at Singapore Management University |
publishDate |
2007 |
url |
https://ink.library.smu.edu.sg/soe_research/1077 https://ink.library.smu.edu.sg/context/soe_research/article/2076/viewcontent/CountryRiskAnalysis_MarkovRegimeSwitchingModel.pdf |
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1770569400996331520 |