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140208s2009 dcu o 000 0 eng d |
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|a EBLCP
|b eng
|e pn
|c EBLCP
|d OCLCQ
|d YDXCP
|d OCLCQ
|d ZCU
|d MERUC
|d ICG
|d OCLCO
|d OCLCF
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|a 9781451916065
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|a 145191606X
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|a (OCoLC)870245279
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|a HG3891
|b .G35 2009
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|a HCDD
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|a Sgherri, Silvia.
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|a Regional Financial Spillovers Across Europe.
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|a Washington :
|b International Monetary Fund,
|c 2009.
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|a 1 online resource (34 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a IMF Working Papers
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|a Print version record.
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|a I. Introduction; II. The GVAR Model (1999-2008); A. Structure of the model; B. The data and properties of the series; III. Estimation; A. Conditions for the GVAR estimation; B. Estimation of the country-specific models; C. Testing for weak exogeneity; D. Impact Elasticities; IV. Dynamic Analysis; A. Generalized Impulse Response Functions; B. Generalized Forecast Error Variance Decompositions; V. Concluding Remarks; Figures; 1. Increasing Reliance of Emerging Europe on Foreign Bank Funding; 2. Concentration of Emerging Europe Exposure toWestern Europe.
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|a 3. GIRFs: Rates of Growth of Real Equity Prices4. GIRFs: Rates of Growth of Real Credit to Corporations; 5. GIRFs: Rates of Growth of Real Gross Domestic Product; 6. GIRFs: Real Interbank Rates; 7. GIRFs: A One 3D Negative Shock to US Real Equity Prices Growth Rate; Tables; 1. Countries and Regions in the GVAR model; 2. Number of Cointegrating Relationships in the Country-Specific Models; 3. F-statistics for Testing theWeak Exogeneity; 4. Contemporaneous Effects of Foreign Variables; 5. Augmented Dickey-Fuller (ADF) Unit Root Test Statistics; 6. Weighted Symmetric ADF Unit Root Test Statistics.
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|a 7. FinancialWeights8. Average Pair-Wise Cross-Section Correlations; 9. Cointegration Rank Statistics; 10. GFEVDs: A One 3D Negative Shock to US Real Equity Prices Growth Rate; 11. Country Names and ISO Codes; References.
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|a The recent financial crisis raises important issues about the transmission of financial shocks across borders. In this paper, a global vector autoregressive (GVAR) model is constructed to assess the relevance of international spillovers following a historical slowdown in U.S. equity prices. The GVAR model contains 27 country-specific models, including the United States, 17 European advanced economies, and 9 European emerging economies. Each country model is linked to the others by a set of country-specific foreign variables, computed using bilateral bank lending exposures. Results reveal consi.
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|a Capital movements
|x Econometric models.
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|a Econometrics.
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|a Capital movements
|x Econometric models
|2 fast
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|a Econometrics
|2 fast
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|a Galesi, Alessandro.
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|i has work:
|a Regional financial spillovers across Europe (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFR6VkCQCP76QHxFrHhW6q
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Print version:
|a Sgherri, Silvia.
|t Regional Financial Spillovers Across Europe:A Global VAR Analysis.
|d Washington : International Monetary Fund, ©2009
|z 9781451871708
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|a IMF Working Papers.
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|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1608159
|y Click for online access
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|a EBC-AC
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|a 92
|b HCD
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