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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao International Journa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Finance & Economics
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
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A Quantitative Approach to Assessing Sovereign Default Risk in Resource‐Rich Emerging Economies

Authors: Unurjargal Nyambuu; Lucas Bernard;

A Quantitative Approach to Assessing Sovereign Default Risk in Resource‐Rich Emerging Economies

Abstract

AbstractThe problem of sovereign default is a tricky one for bankers, policy makers, politicians and investors alike. Purely financial models are likely to miss nuance and cultural idiosyncrasies. Nonetheless, risk metrics must play a role. Using a stochastic growth model in an open economy, we propose a Kealhofer, McQuown and Vasicek (KMV)‐style approach for assessing sovereign default risk in resource‐rich emerging economies. As is well known, financial effects, specifically external debt, can make a country vulnerable to economic shocks. Excessive external debt is, thus, a prime indicator for financial health in both resource‐poor and resource‐rich countries; yet, safe ratios are difficult to determine. Using a straightforward and easily implementable methodology, we show how optimal debt ratios may be used to define a ‘distance from default’ indicator variable. Further, we demonstrate that this is a plausible risk metric for a number of different developing countries, including representatives from Latin America, Africa and Asia. Copyright © 2015 John Wiley & Sons, Ltd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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