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  1. Modeling banking, sovereign, and macro risk in a CCA global VAR
    Erschienen: 2013
    Verlag:  International Monetary Fund, Washington, D.C

    The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States.... mehr

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    The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States. It is an integrated macroeconomic systemic risk model framework that draws on the advantages of forward-looking contingent claims analysis (CCA) risk indicators for the banking systems in each country, forward-looking CCA risk indicators for sovereigns, and a GVAR model to combine the banking, the sovereign, and the macro sphere. The CCA indicators capture the nonlinearity of changes in bank assets, equity capital, credit spreads, and default probabilities. They capture the expected losses, spreads and default probability for sovereigns. Key to the framework is that sovereign credit spreads, banking system credit risk, corporate sector credit risk, economic growth, and credit variables are combined in a fully endogenous setting. Upon estimation and calibration of the global model, we simulate various negative and positive shock scenarios, particularly to bank and sovereign risk. The goal is to use this framework to analyze the impact and spillover of shocks and to help identify policies that would mitigate banking system, sovereign credit risk and recession risk—policies including bank capital increases, purchase of sovereign debt, and guarantees

     

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    Quelle: Staatsbibliothek zu Berlin
    Sprache: Englisch
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    Format: Online
    ISBN: 1484322185; 9781484322185
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    Schriftenreihe: IMF Working Papers ; Working Paper No. 13/218
    Schlagworte: Systemrisiko; Finanzsektor; Risikomaß; VAR-Modell
    Umfang: Online-Ressource (62 p)
  2. Modeling banking, sovereign, and macro risk in a CCA global VAR
    Erschienen: 2013
    Verlag:  IMF, Washington, DC

    The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States.... mehr

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    The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States. It is an integrated macroeconomic systemic risk model framework that draws on the advantages of forward-looking contingent claims analysis (CCA) risk indicators for the banking systems in each country, forward-looking CCA risk indicators for sovereigns, and a GVAR model to combine the banking, the sovereign, and the macro sphere. The CCA indicators

     

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    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781484322185
    Schriftenreihe: IMF working paper ; 13/218
    IMF Working Papers
    Schlagworte: Systemrisiko; Finanzsektor; Risikomaß; VAR-Modell; Banks and banking -- Econometric models; Financial risk -- Forecasting; Regression analysis; Macroeconomics -- Mathematical models; Electronic books
    Umfang: Online-Ressource (60 S.), graph. Darst.
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    Description based upon print version of record

    Cover; Contents; I. Introduction and Overview of CCA-GVAR Framework; A. Overview; Figures; 1. CCA-GVAR Model Framework; B. Motivation and Relationship to the Literature; II. Contingent Claims Analysis for Banks, Banking Systems, Corporate Sector and Sovereigns; A. Expected Loss Ratios for Banks and Non-Financial Corporations; 2. Relationships between CCA Capital Ratio, EDF, FVCDS and EL for a Typical Bank; Box; 1. Relationships between CCA Capital Ratio, EDF, FVCDS and Expected Loss Ratio for a Typical Bank; 3. Comparison of Ratings, Spreads and EDFs

    B. Aggregating Expected Loss Ratios for Banking Systems and the Non-Financial Corporate SectorC. Sovereign CCA Expected Loss Ratio; III. GVAR Model; A. Local Models; B. Weight Matrices; C. Global Solution of the Model; IV. Macro and CCA Data Inputs; V. Shock Scenario Analysis; 4. Italy: Sovereign, Banking System, and Corporate Sector EL, Real GDP Growth, and Credit Growth; Tables; 1. Shock Scenarios; A. Shock Scenario One-Adverse Shock to Sovereigns in Italy and Spain; B. Shock Scenario Two-Adverse Shock to Banking Systems in Italy and Spain

    5. Shock Scenario One-Sovereign Versus Banks' Maximum Cumulative Fair-Value Spread ResponsesC. Shock Scenario Three-Positive Shock to Sovereigns in Italy and Spain; 6. Shock Scenario Two-Sovereign Versus Banks' Maximum Cumulative Fair-Value Spread Responses; D. Shock Scenario Four-Positive Shock to Banking Systems in Italy and Spain; 7. Shock Scenario Three-Sovereign Versus Banks' Minimum Cumulative Fair-Value Spread Responses; VI. Further Extensions and Applications; 8. Shock Scenario Four-Sovereign Versus Banks' Minimum Cumulative Fair-Value Spread Responses; 2. Risk Mitigation Policies

    VII. ConclusionsAppendices; I. Contingent Claims Analysis; A. Contingent Claims Analysis: Merton Model; B. Moody's Model Overview; 9. Example Bank FVCDS, and Markit CDS (bps); 10. Observed CDS Versus FVCDS Showing Spillover from Sovereign; 11. Spillovers from the Sovereign to the Banks and Banks to Sovereign; II. Weight Matrices; III. Input Data for the CCA-GVAR Model; IV. Scenario Profiles on Impact at T=1; V. Dynamic Scenario Responses; VI. Maximum Cumulative Impulse Responses Along Two-Year Horizon; VII. Significance of Scenario Responses; References

  3. Modeling banking, sovereign, and macro risk in a CCA global VAR
    Erschienen: 2013
    Verlag:  International Monetary Fund, Washington, D.C

    The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States.... mehr

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    The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States. It is an integrated macroeconomic systemic risk model framework that draws on the advantages of forward-looking contingent claims analysis (CCA) risk indicators for the banking systems in each country, forward-looking CCA risk indicators for sovereigns, and a GVAR model to combine the banking, the sovereign, and the macro sphere. The CCA indicators capture the nonlinearity of changes in bank assets, equity capital, credit spreads, and default probabilities. They capture the expected losses, spreads and default probability for sovereigns. Key to the framework is that sovereign credit spreads, banking system credit risk, corporate sector credit risk, economic growth, and credit variables are combined in a fully endogenous setting. Upon estimation and calibration of the global model, we simulate various negative and positive shock scenarios, particularly to bank and sovereign risk. The goal is to use this framework to analyze the impact and spillover of shocks and to help identify policies that would mitigate banking system, sovereign credit risk and recession risk—policies including bank capital increases, purchase of sovereign debt, and guarantees

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Volltext (Array)
    Quelle: Staatsbibliothek zu Berlin
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 1484322185; 9781484322185
    Weitere Identifier:
    Schriftenreihe: IMF Working Papers ; Working Paper No. 13/218
    Schlagworte: Systemrisiko; Finanzsektor; Risikomaß; VAR-Modell
    Umfang: Online-Ressource (62 p)