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Emerging Market Sovereign Bond Spreads : : Estimation and Back-testing / / Fabio Comelli
| Emerging Market Sovereign Bond Spreads : : Estimation and Back-testing / / Fabio Comelli |
| Autore | Comelli Fabio |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (44 p.) |
| Collana | IMF Working Papers |
| Soggetto topico |
State bonds - Econometric models
Government securities - Econometric models Banks and Banking Finance: General Investments: Bonds International Finance Forecasting and Simulation Financial Forecasting and Simulation Interest Rates: Determination, Term Structure, and Effects General Financial Markets: General (includes Measurement and Data) Finance Investment & securities Yield curve Sovereign bonds Emerging and frontier financial markets Bond yields Securities markets Financial services Financial institutions Financial markets Interest rates Bonds Financial services industry Capital market |
| ISBN |
1-4755-1037-3
1-4755-1431-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; I. Introduction; II. Literature; III. The data; A. Emerging Market Sovereign Bond Spreads Data; B. Pull Factors Data; Political Risk Rating (PRR); Economic Risk Rating (ERR); Financial Risk Rating (FRR); C. Push Factors Data; IV. The Model; V. Regression Results; A. Baseline regression; B. Global Abundant Liquidity and Global Financial Crisis; Tables; Table 1. Sovereign Bond Spreads: Coefficient Estimates, All Emerging Market Economies; C. Regional Subgroups; D. How Do Fitted Bond Spreads Compare With Actual Bond Spreads?
Table 2. Sovereign Bond Spreads: Coefficient Estimates Across EM Regions.Figures; Panel 1. Actual and Fitted Sovereign Bond Spreads (basis points); Panel 2. Actual and Fitted Sovereign Bond Spreads: (basis points); E. Robustness Checks; Table 3. Sovereign Bond Spreads: Coefficient Estimates, Robustness Checks; Panel 3. Actual and Fitted Sovereign Bond Spreads (Basis points); F. Simulating an Improvement in Country-specific Variables on Bond Spreads; Table 4. Impact of one-standard deviation change on the model spread (Percent) Panel 4. Impact on the Model Spread Provoked by a One-standard Deviation ChangeVI. Back-testing the Model; A. Linear Prediction Method; B. Rolling Regression Method; Table 5. Probabilities that the linear prediction method correctly predicts (i) the; Table 6. Probabilities that the rolling regression (RR1) method correctly predicts; C. Comparing Competing Forecasts; Table 7. Measuring the accuracy of bond spread forecasts with the Diebold-Mariano; VII. Concluding Remarks; References; Appendixes; A. Tables; Appendix Tables Table A1. Probabilities that the rolling regression (RR2) method correctly predictsTable A2. Comparing rolling regression and linear prediction forecasts with the Diebold- Mariano test; Table A3. Mean Square Error, Mean Absolute Error and Theil's U Statistics for the rolling regression (RR1) method; Table A4. Mean Square Error, Mean Absolute Error and Theil's U Statistics for the rolling regression (RR2) method; B. Charts; Panel A1. Emerging Market Sovereign Bond Spreads: Actual, Fitted and Residuals; Panel A2: Emerging Markets Sovereign Bond Spread Tracker: January 1998 - December 2001 Panel A3: Emerging Markets Sovereign Bond Spread Tracker: January 2002 - December 2005Panel A4: Emerging Markets Sovereign Bond Spread Tracker: January 2006 - December 2009; Panel A5: Emerging Markets Sovereign Bond Spread Tracker: January 2010 - December 2011 |
| Record Nr. | UNINA-9910786480703321 |
Comelli Fabio
|
||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging Market Sovereign Bond Spreads : : Estimation and Back-testing / / Fabio Comelli
| Emerging Market Sovereign Bond Spreads : : Estimation and Back-testing / / Fabio Comelli |
| Autore | Comelli Fabio |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (44 p.) |
| Disciplina | 332.1/52 |
| Collana | IMF Working Papers |
| Soggetto topico |
State bonds - Econometric models
Government securities - Econometric models Banks and Banking Finance: General Investments: Bonds International Finance Forecasting and Simulation Financial Forecasting and Simulation Interest Rates: Determination, Term Structure, and Effects General Financial Markets: General (includes Measurement and Data) Finance Investment & securities Yield curve Sovereign bonds Emerging and frontier financial markets Bond yields Securities markets Financial services Financial institutions Financial markets Interest rates Bonds Financial services industry Capital market |
| ISBN |
1-4755-1037-3
1-4755-1431-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; I. Introduction; II. Literature; III. The data; A. Emerging Market Sovereign Bond Spreads Data; B. Pull Factors Data; Political Risk Rating (PRR); Economic Risk Rating (ERR); Financial Risk Rating (FRR); C. Push Factors Data; IV. The Model; V. Regression Results; A. Baseline regression; B. Global Abundant Liquidity and Global Financial Crisis; Tables; Table 1. Sovereign Bond Spreads: Coefficient Estimates, All Emerging Market Economies; C. Regional Subgroups; D. How Do Fitted Bond Spreads Compare With Actual Bond Spreads?
Table 2. Sovereign Bond Spreads: Coefficient Estimates Across EM Regions.Figures; Panel 1. Actual and Fitted Sovereign Bond Spreads (basis points); Panel 2. Actual and Fitted Sovereign Bond Spreads: (basis points); E. Robustness Checks; Table 3. Sovereign Bond Spreads: Coefficient Estimates, Robustness Checks; Panel 3. Actual and Fitted Sovereign Bond Spreads (Basis points); F. Simulating an Improvement in Country-specific Variables on Bond Spreads; Table 4. Impact of one-standard deviation change on the model spread (Percent) Panel 4. Impact on the Model Spread Provoked by a One-standard Deviation ChangeVI. Back-testing the Model; A. Linear Prediction Method; B. Rolling Regression Method; Table 5. Probabilities that the linear prediction method correctly predicts (i) the; Table 6. Probabilities that the rolling regression (RR1) method correctly predicts; C. Comparing Competing Forecasts; Table 7. Measuring the accuracy of bond spread forecasts with the Diebold-Mariano; VII. Concluding Remarks; References; Appendixes; A. Tables; Appendix Tables Table A1. Probabilities that the rolling regression (RR2) method correctly predictsTable A2. Comparing rolling regression and linear prediction forecasts with the Diebold- Mariano test; Table A3. Mean Square Error, Mean Absolute Error and Theil's U Statistics for the rolling regression (RR1) method; Table A4. Mean Square Error, Mean Absolute Error and Theil's U Statistics for the rolling regression (RR2) method; B. Charts; Panel A1. Emerging Market Sovereign Bond Spreads: Actual, Fitted and Residuals; Panel A2: Emerging Markets Sovereign Bond Spread Tracker: January 1998 - December 2001 Panel A3: Emerging Markets Sovereign Bond Spread Tracker: January 2002 - December 2005Panel A4: Emerging Markets Sovereign Bond Spread Tracker: January 2006 - December 2009; Panel A5: Emerging Markets Sovereign Bond Spread Tracker: January 2010 - December 2011 |
| Record Nr. | UNINA-9910820534503321 |
|
Comelli Fabio
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||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Macrofinancial Modeling At Central Banks : : Recent Developments and Future Directions / / Jan Vlcek, Scott Roger
| Macrofinancial Modeling At Central Banks : : Recent Developments and Future Directions / / Jan Vlcek, Scott Roger |
| Autore | Vlcek Jan |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (41 p.) |
| Altri autori (Persone) | RogerScott |
| Collana | IMF Working Papers |
| Soggetto topico |
Equilibrium (Economics)
Banks and banking, Central Global Financial Crisis, 2008-2009 Banks and Banking Econometrics Finance: General Economic Theory Forecasting Monetary Policy, Central Banking, and the Supply of Money and Credit: General Financial Forecasting and Simulation Financial Markets and the Macroeconomy Forecasting and Simulation: Models and Applications Banks Depository Institutions Micro Finance Institutions Mortgages Financial Economics General Financial Markets: Government Policy and Regulation General Financial Markets: General (includes Measurement and Data) Computable and Other Applied General Equilibrium Models Forecasting and Other Model Applications Banking Finance Economic theory & philosophy Econometrics & economic statistics Economic Forecasting Financial frictions Financial stability assessment Interbank markets Dynamic stochastic general equilibrium models Economic theory Financial sector policy and analysis Economic forecasting Econometric analysis Financial markets Banks and banking Financial services industry International finance Econometric models |
| ISBN |
1-4639-5608-8
1-4639-4755-0 1-4639-4296-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Contents; I. Introduction; II. Macrofinancial DSGE Models in Use by Central Banks; A. Models in Use Before the Crisis; Tables; 1. Central Bank Forecasting and Policy Analysis Models Prior to 2008; B. Model Development Since the Crisis; 2. Central Bank DSGE Forecasting Models Since 2008; 3. Published Central Bank Models with Financial Frictions; III. Challenges and Priorities for Model Development; References; Appendix; I. Approaches to Embedding Financial Frictions, Transmission Channels, and Risks in DSGE Models; 4. Approaches to Modeling Financial Frictions |
| Record Nr. | UNINA-9910789908003321 |
|
Vlcek Jan
|
||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Macrofinancial Modeling At Central Banks : : Recent Developments and Future Directions / / Jan Vlcek, Scott Roger
| Macrofinancial Modeling At Central Banks : : Recent Developments and Future Directions / / Jan Vlcek, Scott Roger |
| Autore | Vlcek Jan |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (41 p.) |
| Disciplina | 332.1/52 |
| Altri autori (Persone) | RogerScott |
| Collana | IMF Working Papers |
| Soggetto topico |
Equilibrium (Economics)
Banks and banking, Central Global Financial Crisis, 2008-2009 Banks and Banking Econometrics Finance: General Economic Theory Forecasting Monetary Policy, Central Banking, and the Supply of Money and Credit: General Financial Forecasting and Simulation Financial Markets and the Macroeconomy Forecasting and Simulation: Models and Applications Banks Depository Institutions Micro Finance Institutions Mortgages Financial Economics General Financial Markets: Government Policy and Regulation General Financial Markets: General (includes Measurement and Data) Computable and Other Applied General Equilibrium Models Forecasting and Other Model Applications Banking Finance Economic theory & philosophy Econometrics & economic statistics Economic Forecasting Financial frictions Financial stability assessment Interbank markets Dynamic stochastic general equilibrium models Economic theory Financial sector policy and analysis Economic forecasting Econometric analysis Financial markets Banks and banking Financial services industry International finance Econometric models |
| ISBN |
1-4639-5608-8
1-4639-4755-0 1-4639-4296-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Contents; I. Introduction; II. Macrofinancial DSGE Models in Use by Central Banks; A. Models in Use Before the Crisis; Tables; 1. Central Bank Forecasting and Policy Analysis Models Prior to 2008; B. Model Development Since the Crisis; 2. Central Bank DSGE Forecasting Models Since 2008; 3. Published Central Bank Models with Financial Frictions; III. Challenges and Priorities for Model Development; References; Appendix; I. Approaches to Embedding Financial Frictions, Transmission Channels, and Risks in DSGE Models; 4. Approaches to Modeling Financial Frictions |
| Record Nr. | UNINA-9910807217803321 |
|
Vlcek Jan
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||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measures of Fiscal Risk in Hydrocarbon-Exporting Countries / / Carlos Caceres, Leandro Medina
| Measures of Fiscal Risk in Hydrocarbon-Exporting Countries / / Carlos Caceres, Leandro Medina |
| Autore | Caceres Carlos |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (23 p.) |
| Altri autori (Persone) | MedinaLeandro |
| Collana |
IMF Working Papers
IMF working paper |
| Soggetto topico |
Petroleum products - Prices
Finance, Public - Middle East Finance, Public - Africa, North Investments: Futures Macroeconomics Public Finance Forecasting and Other Model Applications Financial Forecasting and Simulation National Budget, Deficit, and Debt: General Nonrenewable Resources and Conservation: Government Policy Energy: Demand and Supply Prices Commodity Markets Public Administration Public Sector Accounting and Audits Pension Funds Non-bank Financial Institutions Financial Instruments Institutional Investors Public finance & taxation Finance Oil prices Commodity price fluctuations Fiscal risks Futures Commodity prices Public financial management (PFM) Financial institutions Fiscal policy Derivative securities |
| ISBN |
1-4755-9846-7
1-4755-4500-2 1-283-94788-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Abstract; Contents; I. Introduction; Figures; 1. Real Break-Even Prices in Selected Middle East and North African Countries; II. Data and Empirical Methodology; 2. Real Brent Oil Price; III. Main Results and Discussion; 3. Probability that Brent Oil Prices Fall below the Break-Even Price (measure I); 4. Probability that Brent Oil Prices Fall below the Break-Even Price (measure II); IV. Conclusion; Annex I: Summary Tables; Tables; 1. Projected Nominal Break-Even Prices in Selected MENA Oil-Exporting Countries; 2. Projected Real Break-Even Prices in Selected MENA Oil-Exporting Countries
3. Probability that Brent Oil Prices Fall below the Break-Even Price (measure I)4. Probability that Brent Oil Prices Fall below the Break-Even Price (measure II); Annex II: Modeling Oil Prices Using Geometric Brownian Motion; Annex III: Stochastic Simulations; 5. Historic and Simulated Real Price of Brent Oil (in logarithm); References |
| Record Nr. | UNINA-9910779594203321 |
|
Caceres Carlos
|
||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measures of Fiscal Risk in Hydrocarbon-Exporting Countries / / Carlos Caceres, Leandro Medina
| Measures of Fiscal Risk in Hydrocarbon-Exporting Countries / / Carlos Caceres, Leandro Medina |
| Autore | Caceres Carlos |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (23 p.) |
| Disciplina | 332.1;332.1/52 |
| Altri autori (Persone) | MedinaLeandro |
| Collana |
IMF Working Papers
IMF working paper |
| Soggetto topico |
Petroleum products - Prices
Finance, Public - Middle East Finance, Public - Africa, North Investments: Futures Macroeconomics Public Finance Forecasting and Other Model Applications Financial Forecasting and Simulation National Budget, Deficit, and Debt: General Nonrenewable Resources and Conservation: Government Policy Energy: Demand and Supply Prices Commodity Markets Public Administration Public Sector Accounting and Audits Pension Funds Non-bank Financial Institutions Financial Instruments Institutional Investors Public finance & taxation Finance Oil prices Commodity price fluctuations Fiscal risks Futures Commodity prices Public financial management (PFM) Financial institutions Fiscal policy Derivative securities |
| ISBN |
1-4755-9846-7
1-4755-4500-2 1-283-94788-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Abstract; Contents; I. Introduction; Figures; 1. Real Break-Even Prices in Selected Middle East and North African Countries; II. Data and Empirical Methodology; 2. Real Brent Oil Price; III. Main Results and Discussion; 3. Probability that Brent Oil Prices Fall below the Break-Even Price (measure I); 4. Probability that Brent Oil Prices Fall below the Break-Even Price (measure II); IV. Conclusion; Annex I: Summary Tables; Tables; 1. Projected Nominal Break-Even Prices in Selected MENA Oil-Exporting Countries; 2. Projected Real Break-Even Prices in Selected MENA Oil-Exporting Countries
3. Probability that Brent Oil Prices Fall below the Break-Even Price (measure I)4. Probability that Brent Oil Prices Fall below the Break-Even Price (measure II); Annex II: Modeling Oil Prices Using Geometric Brownian Motion; Annex III: Stochastic Simulations; 5. Historic and Simulated Real Price of Brent Oil (in logarithm); References |
| Record Nr. | UNINA-9910826707203321 |
|
Caceres Carlos
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||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Surprise, Surprise : : What Drives the Rand / U.S. Dollar Exchange Rate Volatility? / / Nasha Maveé, Roberto Perrelli, Axel Schimmelpfennig
| Surprise, Surprise : : What Drives the Rand / U.S. Dollar Exchange Rate Volatility? / / Nasha Maveé, Roberto Perrelli, Axel Schimmelpfennig |
| Autore | Maveé Nasha |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2016 |
| Descrizione fisica | 1 online resource (39 pages) : illustrations, tables, graphs |
| Disciplina | 332.4973 |
| Altri autori (Persone) |
PerrelliRoberto
SchimmelpfennigAxel |
| Collana | IMF Working Papers |
| Soggetto topico |
Dollar, American
Foreign exchange rates - South Africa Money - South Africa Finance: General Foreign Exchange Inflation Macroeconomics International Finance Forecasting and Simulation International Financial Markets Financial Forecasting and Simulation Commodity Markets Price Level Deflation General Financial Markets: General (includes Measurement and Data) Currency Foreign exchange Finance Exchange rates Commodity price fluctuations Emerging and frontier financial markets Exchange rate flexibility Prices Financial markets Financial services industry |
| ISBN | 1-4755-4560-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910154899303321 |
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Maveé Nasha
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| Washington, D.C. : , : International Monetary Fund, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Systemic Risk from Global Financial Derivatives : : A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax / / Sheri Markose
| Systemic Risk from Global Financial Derivatives : : A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax / / Sheri Markose |
| Autore | Markose Sheri |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (59 p.) |
| Collana | IMF Working Papers |
| Soggetto topico |
Derivative securities
Over-the-counter markets Banks and Banking Finance: General Investments: Derivatives Industries: Financial Services Financial Crises Banks Depository Institutions Micro Finance Institutions Mortgages Financial Forecasting and Simulation Financing Policy Financial Risk and Risk Management Capital and Ownership Structure Value of Firms Goodwill International Financial Markets General Financial Markets: Government Policy and Regulation General Financial Markets: General (includes Measurement and Data) Financial Institutions and Services: General Pension Funds Non-bank Financial Institutions Financial Instruments Institutional Investors Finance Banking Systemic risk Derivative markets Systemically important financial institutions Financial derivatives Financial sector policy and analysis Financial markets Financial institutions Financial contagion Financial risk management Banks and banking Financial services industry |
| ISBN |
1-4755-9015-6
1-4755-3186-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Abstract; Contents; I. Introduction; Figures; 1. Gross Notional of Financial Derivatives; 2. Gross Market Values OTC Derivatives; II. Systemic Risk in OTC Derivatives: Modeling Challenges; A. SIFIs in Derivatives Markets and Market Concentration; 3. Affiliation Graph of Global SIFI's and United States (U.S.) FDIC FIs as Participants in the Five Financial Derivatives Markets; Tables; 1. Value and Market Share of Financial Derivatives for 202 FIs; B. Market Data Based Systemic Risk Measures and Financial Network Perspective; III. Financial Network Analysis
A. Adjacency Matrix and Gross Flow Matrix for Derivatives B. Bilaterally Netted Matrix of Payables and Receivables; C. Topology of Financial Networks Complete, Random, Core-periphery, Clustered, and Small World; 2. Networks Statistics: Diagonal Elements Characterize Small World; D. Economics Literature on Financial Networks; E. Eigenvalue Perspective of Network Stability; IV. Contagion and Stability Analysis; A. Furfine (2003) Methodology: Cascades from Failure of a Trigger Bank; B. Financial Network Stability Analysis; C. Mitigation and Management of Financial Contagion: Super-spreader Tax V. Empirical Results: Network Analysis of the Calibrated Aggregated Global Derivatives Market A. Empirical (Small World) Core-Periphery Network Algorithm; 4. Empirically Constructed Global Derivatives Network (Bilaterally) Aggregated over all Derivatives Products for FIs and Outside Entities: Empirical Small World Network in Tiered Layout; B. Global Derivatives Network Statistics (2009:Q4); 3. Network Statistics for Degree Distribution for Derivatives Network 2009 Q4; C. Eigenvector Centrality and Furfine Stress Test Results; 4. Rich Club Statistics 5. 2009:Q4 Derivatives Network Eigenvector Centrality and Furfine First Round Contagion Results for Top 20 FIs5. Furfine Contagion Stress test on Empirical Calibrated Derivatives; D. Quantification and Evaluation of the Super-spreader Tax (2009 Q4); 6. Maximum Eigenvalue (λ(sup[#])(sub[max]) ,Y-Axis) Using Different Values of α> 0(Equation; 7. Individual FI Tax Rates Obtained by Multiplying Right Eigenvector Centrality by or Different Values of Alpha α>0; VI. Conclusion; 6. Super-Spreader Tax Raised from Top 20 SIFIs; Appendix Tables; A.1 Financial Derivatives for the Top 22 Banks; References |
| Record Nr. | UNINA-9910779643403321 |
|
Markose Sheri
|
||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Systemic Risk from Global Financial Derivatives : : A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax / / Sheri Markose
| Systemic Risk from Global Financial Derivatives : : A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax / / Sheri Markose |
| Autore | Markose Sheri |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2012 |
| Descrizione fisica | 1 online resource (59 p.) |
| Disciplina | 332.1532 |
| Collana | IMF Working Papers |
| Soggetto topico |
Derivative securities
Over-the-counter markets Banks and Banking Finance: General Investments: Derivatives Industries: Financial Services Financial Crises Banks Depository Institutions Micro Finance Institutions Mortgages Financial Forecasting and Simulation Financing Policy Financial Risk and Risk Management Capital and Ownership Structure Value of Firms Goodwill International Financial Markets General Financial Markets: Government Policy and Regulation General Financial Markets: General (includes Measurement and Data) Financial Institutions and Services: General Pension Funds Non-bank Financial Institutions Financial Instruments Institutional Investors Finance Banking Systemic risk Derivative markets Systemically important financial institutions Financial derivatives Financial sector policy and analysis Financial markets Financial institutions Financial contagion Financial risk management Banks and banking Financial services industry |
| ISBN |
1-4755-9015-6
1-4755-3186-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Abstract; Contents; I. Introduction; Figures; 1. Gross Notional of Financial Derivatives; 2. Gross Market Values OTC Derivatives; II. Systemic Risk in OTC Derivatives: Modeling Challenges; A. SIFIs in Derivatives Markets and Market Concentration; 3. Affiliation Graph of Global SIFI's and United States (U.S.) FDIC FIs as Participants in the Five Financial Derivatives Markets; Tables; 1. Value and Market Share of Financial Derivatives for 202 FIs; B. Market Data Based Systemic Risk Measures and Financial Network Perspective; III. Financial Network Analysis
A. Adjacency Matrix and Gross Flow Matrix for Derivatives B. Bilaterally Netted Matrix of Payables and Receivables; C. Topology of Financial Networks Complete, Random, Core-periphery, Clustered, and Small World; 2. Networks Statistics: Diagonal Elements Characterize Small World; D. Economics Literature on Financial Networks; E. Eigenvalue Perspective of Network Stability; IV. Contagion and Stability Analysis; A. Furfine (2003) Methodology: Cascades from Failure of a Trigger Bank; B. Financial Network Stability Analysis; C. Mitigation and Management of Financial Contagion: Super-spreader Tax V. Empirical Results: Network Analysis of the Calibrated Aggregated Global Derivatives Market A. Empirical (Small World) Core-Periphery Network Algorithm; 4. Empirically Constructed Global Derivatives Network (Bilaterally) Aggregated over all Derivatives Products for FIs and Outside Entities: Empirical Small World Network in Tiered Layout; B. Global Derivatives Network Statistics (2009:Q4); 3. Network Statistics for Degree Distribution for Derivatives Network 2009 Q4; C. Eigenvector Centrality and Furfine Stress Test Results; 4. Rich Club Statistics 5. 2009:Q4 Derivatives Network Eigenvector Centrality and Furfine First Round Contagion Results for Top 20 FIs5. Furfine Contagion Stress test on Empirical Calibrated Derivatives; D. Quantification and Evaluation of the Super-spreader Tax (2009 Q4); 6. Maximum Eigenvalue (λ(sup[#])(sub[max]) ,Y-Axis) Using Different Values of α> 0(Equation; 7. Individual FI Tax Rates Obtained by Multiplying Right Eigenvector Centrality by or Different Values of Alpha α>0; VI. Conclusion; 6. Super-Spreader Tax Raised from Top 20 SIFIs; Appendix Tables; A.1 Financial Derivatives for the Top 22 Banks; References |
| Record Nr. | UNINA-9910809633503321 |
|
Markose Sheri
|
||
| Washington, D.C. : , : International Monetary Fund, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
