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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
Opac: Controlla la disponibilità qui
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
Bond yields
Bonds
Capital market
Emerging and frontier financial markets
Finance
Finance: General
Financial Forecasting and Simulation
Financial institutions
Financial markets
Financial services industry
Financial services
General Financial Markets: General (includes Measurement and Data)
Interest rates
Interest Rates: Determination, Term Structure, and Effects
International Finance Forecasting and Simulation
Investment & securities
Investments: Bonds
Securities markets
Sovereign bonds
Yield curve
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  
Washington, D.C. : , : International Monetary Fund, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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  
Washington, D.C. : , : International Monetary Fund, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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  
Washington, D.C. : , : International Monetary Fund, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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 1-4755-4559-2
1-4755-4560-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910154899303321
Maveé Nasha  
Washington, D.C. : , : International Monetary Fund, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Banking
Banks and Banking
Banks and banking
Banks
Capital and Ownership Structure
Depository Institutions
Derivative markets
Finance
Finance: General
Financial contagion
Financial Crises
Financial derivatives
Financial Forecasting and Simulation
Financial Institutions and Services: General
Financial institutions
Financial Instruments
Financial markets
Financial Risk and Risk Management
Financial risk management
Financial sector policy and analysis
Financial services industry
Financing Policy
General Financial Markets: General (includes Measurement and Data)
General Financial Markets: Government Policy and Regulation
Goodwill
Industries: Financial Services
Institutional Investors
International Financial Markets
Investments: Derivatives
Micro Finance Institutions
Mortgages
Non-bank Financial Institutions
Pension Funds
Systemic risk
Systemically important financial institutions
Value of Firms
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
Opac: Controlla la disponibilità qui