Assessing debt sustainability in emerging market economies using stochastic simulation methods:
"The authors apply stochastic simulation methods to assess debt sustainability in emerging market economies and provide probability measures for projections of the external and public debt burden over the medium term. The vulnerability of public debt to adverse shocks is determined by a number...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[Washington, D.C]
World Bank
2006
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Schriftenreihe: | Policy research working paper
3821 |
Schlagworte: | |
Online-Zugang: | DE-522 DE-12 DE-521 DE-1102 DE-1046 DE-1047 DE-858 DE-Aug4 DE-573 DE-M347 DE-92 DE-1051 DE-898 DE-859 DE-860 DE-1049 DE-863 DE-862 DE-523 DE-2070s DE-M352 DE-Re13 DE-70 DE-128 DE-22 DE-155 DE-150 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-29 DE-739 Volltext |
Zusammenfassung: | "The authors apply stochastic simulation methods to assess debt sustainability in emerging market economies and provide probability measures for projections of the external and public debt burden over the medium term. The vulnerability of public debt to adverse shocks is determined by a number of interrelated factors, including the volatility of output, financial fragility, the endogenous response of the risk premium, and sudden stops in private capital flows. The vulnerability of external debt is sensitive to the determination of the exchange rate and to the pricing of traded goods. The authors show that fiscal policy can act in a preemptive manner to prevent the debt burden from rising significantly over the medium term. This requires flexibility in fiscal planning, which many emerging market economies lack. Emerging market economies therefore face a difficult tradeoff between managing the risk of a debt crisis and pursuing other important fiscal policy objectives. "--World Bank web site |
Beschreibung: | Includes bibliographical references. - Title from PDF file as viewed on 1/17/2006 Erscheinungsjahr in Vorlageform:[2006] Weitere Ausgabe: Karam, Philippe D: Assessing debt sustainability in emerging market economies using stochastic simulation methods |
Beschreibung: | 1 Online-Ressource |
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520 | 1 | |a "The authors apply stochastic simulation methods to assess debt sustainability in emerging market economies and provide probability measures for projections of the external and public debt burden over the medium term. The vulnerability of public debt to adverse shocks is determined by a number of interrelated factors, including the volatility of output, financial fragility, the endogenous response of the risk premium, and sudden stops in private capital flows. The vulnerability of external debt is sensitive to the determination of the exchange rate and to the pricing of traded goods. The authors show that fiscal policy can act in a preemptive manner to prevent the debt burden from rising significantly over the medium term. This requires flexibility in fiscal planning, which many emerging market economies lack. Emerging market economies therefore face a difficult tradeoff between managing the risk of a debt crisis and pursuing other important fiscal policy objectives. "--World Bank web site | |
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Datensatz im Suchindex
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author | Karam, Philippe D. |
author_facet | Karam, Philippe D. |
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id | DE-604.BV040618426 |
illustrated | Not Illustrated |
indexdate | 2024-08-27T04:18:03Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025445925 |
oclc_num | 874234097 |
open_access_boolean | |
owner | DE-12 DE-1102 DE-1051 DE-521 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-522 DE-858 DE-573 DE-860 DE-1046 DE-1047 DE-Aug4 DE-2070s DE-M347 DE-1049 DE-898 DE-BY-UBR DE-128 DE-M352 DE-70 DE-92 DE-150 DE-155 DE-BY-UBR DE-22 DE-BY-UBG DE-91 DE-BY-TUM DE-384 DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-739 DE-20 DE-703 DE-706 DE-355 DE-BY-UBR DE-29 DE-859 DE-Re13 DE-BY-UBR DE-523 |
owner_facet | DE-12 DE-1102 DE-1051 DE-521 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-522 DE-858 DE-573 DE-860 DE-1046 DE-1047 DE-Aug4 DE-2070s DE-M347 DE-1049 DE-898 DE-BY-UBR DE-128 DE-M352 DE-70 DE-92 DE-150 DE-155 DE-BY-UBR DE-22 DE-BY-UBG DE-91 DE-BY-TUM DE-384 DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-739 DE-20 DE-703 DE-706 DE-355 DE-BY-UBR DE-29 DE-859 DE-Re13 DE-BY-UBR DE-523 |
physical | 1 Online-Ressource |
psigel | ZDB-1-WBA |
publishDate | 2006 |
publishDateSearch | 2006 |
publishDateSort | 2006 |
publisher | World Bank |
record_format | marc |
series2 | Policy research working paper |
spellingShingle | Karam, Philippe D. Assessing debt sustainability in emerging market economies using stochastic simulation methods Entwicklungsländer |
title | Assessing debt sustainability in emerging market economies using stochastic simulation methods |
title_auth | Assessing debt sustainability in emerging market economies using stochastic simulation methods |
title_exact_search | Assessing debt sustainability in emerging market economies using stochastic simulation methods |
title_full | Assessing debt sustainability in emerging market economies using stochastic simulation methods Philippe Karam, Doug Hostland |
title_fullStr | Assessing debt sustainability in emerging market economies using stochastic simulation methods Philippe Karam, Doug Hostland |
title_full_unstemmed | Assessing debt sustainability in emerging market economies using stochastic simulation methods Philippe Karam, Doug Hostland |
title_short | Assessing debt sustainability in emerging market economies using stochastic simulation methods |
title_sort | assessing debt sustainability in emerging market economies using stochastic simulation methods |
topic | Entwicklungsländer |
topic_facet | Entwicklungsländer |
url | http://elibrary.worldbank.org/content/workingpaper/10.1596/1813-9450-3821 |
work_keys_str_mv | AT karamphilipped assessingdebtsustainabilityinemergingmarketeconomiesusingstochasticsimulationmethods AT hostlanddoug assessingdebtsustainabilityinemergingmarketeconomiesusingstochasticsimulationmethods AT worldbank assessingdebtsustainabilityinemergingmarketeconomiesusingstochasticsimulationmethods |