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2146.1-2022 - IEEE Standard for Entity-Based Risk Mutual Assistance Model through Blockchain Technology / / IEEE
2146.1-2022 - IEEE Standard for Entity-Based Risk Mutual Assistance Model through Blockchain Technology / / IEEE
Pubbl/distr/stampa New York : , : IEEE, , 2022
Descrizione fisica 1 online resource (18 pages)
Disciplina 005.74
Soggetto topico Blockchains (Databases)
Risk management - Mathematical models
ISBN 1-5044-8848-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996575037503316
New York : , : IEEE, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Algorithms for worst-case design and applications to risk management [[electronic resource] /] / Berç Rustem, Melendres Howe
Algorithms for worst-case design and applications to risk management [[electronic resource] /] / Berç Rustem, Melendres Howe
Autore Rustem Berc
Edizione [Course Book]
Pubbl/distr/stampa Princeton, N.J. ; ; Oxford, : Princeton University Press, 2002
Descrizione fisica 1 online resource (405 p.)
Disciplina 511.8
Altri autori (Persone) HoweMelendres
Soggetto topico Risk management - Mathematical models
Risk - Mathematical models
Decision making - Mathematical models
Algorithms
Soggetto genere / forma Electronic books.
ISBN 1-68015-896-1
1-282-15719-1
9786612157196
1-4008-2511-3
1-4008-1460-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- Chapter 1. Introduction to Minimax -- Chapter 2. A Survey Of Continuous Minimax Algorithms -- Chapter 3. Algorithms For Computing Saddle Points -- Chapter 4. A Quasi-Newton Algorithm For Continuous Minimax -- Chapter 5. Numerical Experiments With Continuous Minimax Algorithms -- Chapter 6 Minimax As A Robust Strategy For Discrete Rival Scenarios -- Chapter 7 Discrete Minimax Algorithm For Equality And Inequality Constrained Models -- Chapter 8. A Continuous Minimax Strategy For Options Hedging -- Chapter 9. Minimax and Asset Allocation Problems -- Chapter 10. Asset/Liability Management Under Uncertainty -- Chapter 11 Robust Currency Management -- Index
Record Nr. UNINA-9910454803603321
Rustem Berc  
Princeton, N.J. ; ; Oxford, : Princeton University Press, 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algorithms for worst-case design and applications to risk management [[electronic resource] /] / Berç Rustem, Melendres Howe
Algorithms for worst-case design and applications to risk management [[electronic resource] /] / Berç Rustem, Melendres Howe
Autore Rustem Berc
Edizione [Course Book]
Pubbl/distr/stampa Princeton, N.J. ; ; Oxford, : Princeton University Press, 2002
Descrizione fisica 1 online resource (405 p.)
Disciplina 511.8
Altri autori (Persone) HoweMelendres
Soggetto topico Risk management - Mathematical models
Risk - Mathematical models
Decision making - Mathematical models
Algorithms
ISBN 1-68015-896-1
1-282-15719-1
9786612157196
1-4008-2511-3
1-4008-1460-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- Chapter 1. Introduction to Minimax -- Chapter 2. A Survey Of Continuous Minimax Algorithms -- Chapter 3. Algorithms For Computing Saddle Points -- Chapter 4. A Quasi-Newton Algorithm For Continuous Minimax -- Chapter 5. Numerical Experiments With Continuous Minimax Algorithms -- Chapter 6 Minimax As A Robust Strategy For Discrete Rival Scenarios -- Chapter 7 Discrete Minimax Algorithm For Equality And Inequality Constrained Models -- Chapter 8. A Continuous Minimax Strategy For Options Hedging -- Chapter 9. Minimax and Asset Allocation Problems -- Chapter 10. Asset/Liability Management Under Uncertainty -- Chapter 11 Robust Currency Management -- Index
Record Nr. UNINA-9910780200503321
Rustem Berc  
Princeton, N.J. ; ; Oxford, : Princeton University Press, 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algorithms for worst-case design and applications to risk management / / Berc Rustem, Melendres Howe
Algorithms for worst-case design and applications to risk management / / Berc Rustem, Melendres Howe
Autore Rustem Berc
Edizione [Course Book]
Pubbl/distr/stampa Princeton, N.J. ; ; Oxford, : Princeton University Press, 2002
Descrizione fisica 1 online resource (405 p.)
Disciplina 511.8
Altri autori (Persone) HoweMelendres
Soggetto topico Risk management - Mathematical models
Risk - Mathematical models
Decision making - Mathematical models
Algorithms
ISBN 9786612157196
9781680158960
1680158961
9781282157194
1282157191
9781400825110
1400825113
9781400814602
140081460X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- Chapter 1. Introduction to Minimax -- Chapter 2. A Survey Of Continuous Minimax Algorithms -- Chapter 3. Algorithms For Computing Saddle Points -- Chapter 4. A Quasi-Newton Algorithm For Continuous Minimax -- Chapter 5. Numerical Experiments With Continuous Minimax Algorithms -- Chapter 6 Minimax As A Robust Strategy For Discrete Rival Scenarios -- Chapter 7 Discrete Minimax Algorithm For Equality And Inequality Constrained Models -- Chapter 8. A Continuous Minimax Strategy For Options Hedging -- Chapter 9. Minimax and Asset Allocation Problems -- Chapter 10. Asset/Liability Management Under Uncertainty -- Chapter 11 Robust Currency Management -- Index
Record Nr. UNINA-9910973050003321
Rustem Berc  
Princeton, N.J. ; ; Oxford, : Princeton University Press, 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The analytics of risk model validation [[electronic resource] /] / edited by George Christodoulakis, Stephen Satchell
The analytics of risk model validation [[electronic resource] /] / edited by George Christodoulakis, Stephen Satchell
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, : Academic Press, 2008
Descrizione fisica 1 online resource (217 p.)
Disciplina 336.3
658.155015118
Altri autori (Persone) ChristodoulakisGeorge
SatchellS (Stephen)
Collana Quantitative finance series
Soggetto topico Risk management - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-281-07150-1
9786611071509
0-08-055388-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; The Analytics of Risk Model Validation; Copyright Page; Table of Contents; About the editors; About the contributors; Preface; Chapter 1 Determinants of small business default; Abstract; 1. Introduction; 2. Data, methodology and summary statistics; 3. Empirical results of small business default; 4. Conclusion; References; Notes; Chapter 2 Validation of stress testing models; Abstract; 1. Why stress test?; 2. Stress testing basics; 3. Overview of validation approaches; 4. Subsampling tests; 5. Ideal scenario validation; 6. Scenario validation; 7. Cross-segment validation
8. Back-casting 9. Conclusions; References; Chapter 3 The validity of credit risk model validation methods; Abstract; 1. Introduction; 2. Measures of discriminatory power; 3. Uncertainty in credit risk model validation; 4. Confidence interval for ROC; 5. Bootstrapping; 6. Optimal rating combinations; 7. Concluding remarks; References; Chapter 4 A moments-based procedure for evaluating risk forecasting models; Abstract; 1. Introduction; 2. Preliminary analysis; 3. The likelihood ratio test; 4. A moments test of model adequacy; 5. An illustration; 6. Conclusions; 7. Acknowledgements; References
Notes Appendix; 1. Error distribution; 2. Two-piece normal distribution; 3. t-Distribution; 4. Skew-t distribution; Chapter 5 Measuring concentration risk in credit portfolios; Abstract; 1. Concentration risk and validation; 2. Concentration risk and the IRB model; 3. Measuring name concentration; 4. Measuring sectoral concentration; 5. Numerical example; 6. Future challenges of concentration risk measurement; 7. Summary; References; Notes; Appendix A.1: IRB risk weight functions and concentration risk; Appendix A.2: Factor surface for the diversification factor; Appendix A.3
Chapter 6 A simple method for regulators to cross-check operational risk loss models for banks Abstract; 1. Introduction; 2. Background; 3. Cross-checking procedure; 4. Justification of our approach; 5. Justification for a lower bound using the lognormal distribution; 6. Conclusion; References; Chapter 7 Of the credibility of mapping and benchmarking credit risk estimates for internal rating systems; Abstract; 1. Introduction; 2. Why does the portfolio's structure matter?; 3. Credible credit ratings and credible credit risk estimates; 4. An empirical illustration; 5. Credible mapping
6. Conclusions 7. Acknowledgements; References; Appendix; 1. Further elements of modern credibility theory; 2. Proof of the credibility fundamental relation; 3. Mixed Gamma-Poisson distribution and negative binomial; 4. Calculation of the Bühlmann credibility estimate under the Gamma-Poisson model; 5. Calculation of accuracy ratio; Chapter 8 Analytic models of the ROC curve: Applications to credit rating model validation; Abstract; 1. Introduction; 2. Theoretical implications and applications; 3. Choices of distributions; 4. Performance evaluation on the AUROC estimation with simulated data
5. Summary
Record Nr. UNINA-9910450624003321
Amsterdam, : Academic Press, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The analytics of risk model validation [[electronic resource] /] / edited by George Christodoulakis, Stephen Satchell
The analytics of risk model validation [[electronic resource] /] / edited by George Christodoulakis, Stephen Satchell
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, : Academic Press, 2008
Descrizione fisica 1 online resource (217 p.)
Disciplina 336.3
658.155015118
Altri autori (Persone) ChristodoulakisGeorge
SatchellStephen <1949->
Collana Quantitative finance series
Soggetto topico Risk management - Mathematical models
ISBN 1-281-07150-1
9786611071509
0-08-055388-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; The Analytics of Risk Model Validation; Copyright Page; Table of Contents; About the editors; About the contributors; Preface; Chapter 1 Determinants of small business default; Abstract; 1. Introduction; 2. Data, methodology and summary statistics; 3. Empirical results of small business default; 4. Conclusion; References; Notes; Chapter 2 Validation of stress testing models; Abstract; 1. Why stress test?; 2. Stress testing basics; 3. Overview of validation approaches; 4. Subsampling tests; 5. Ideal scenario validation; 6. Scenario validation; 7. Cross-segment validation
8. Back-casting 9. Conclusions; References; Chapter 3 The validity of credit risk model validation methods; Abstract; 1. Introduction; 2. Measures of discriminatory power; 3. Uncertainty in credit risk model validation; 4. Confidence interval for ROC; 5. Bootstrapping; 6. Optimal rating combinations; 7. Concluding remarks; References; Chapter 4 A moments-based procedure for evaluating risk forecasting models; Abstract; 1. Introduction; 2. Preliminary analysis; 3. The likelihood ratio test; 4. A moments test of model adequacy; 5. An illustration; 6. Conclusions; 7. Acknowledgements; References
Notes Appendix; 1. Error distribution; 2. Two-piece normal distribution; 3. t-Distribution; 4. Skew-t distribution; Chapter 5 Measuring concentration risk in credit portfolios; Abstract; 1. Concentration risk and validation; 2. Concentration risk and the IRB model; 3. Measuring name concentration; 4. Measuring sectoral concentration; 5. Numerical example; 6. Future challenges of concentration risk measurement; 7. Summary; References; Notes; Appendix A.1: IRB risk weight functions and concentration risk; Appendix A.2: Factor surface for the diversification factor; Appendix A.3
Chapter 6 A simple method for regulators to cross-check operational risk loss models for banks Abstract; 1. Introduction; 2. Background; 3. Cross-checking procedure; 4. Justification of our approach; 5. Justification for a lower bound using the lognormal distribution; 6. Conclusion; References; Chapter 7 Of the credibility of mapping and benchmarking credit risk estimates for internal rating systems; Abstract; 1. Introduction; 2. Why does the portfolio's structure matter?; 3. Credible credit ratings and credible credit risk estimates; 4. An empirical illustration; 5. Credible mapping
6. Conclusions 7. Acknowledgements; References; Appendix; 1. Further elements of modern credibility theory; 2. Proof of the credibility fundamental relation; 3. Mixed Gamma-Poisson distribution and negative binomial; 4. Calculation of the Bühlmann credibility estimate under the Gamma-Poisson model; 5. Calculation of accuracy ratio; Chapter 8 Analytic models of the ROC curve: Applications to credit rating model validation; Abstract; 1. Introduction; 2. Theoretical implications and applications; 3. Choices of distributions; 4. Performance evaluation on the AUROC estimation with simulated data
5. Summary
Record Nr. UNINA-9910784746303321
Amsterdam, : Academic Press, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The analytics of risk model validation / / edited by George Christodoulakis, Stephen Satchell
The analytics of risk model validation / / edited by George Christodoulakis, Stephen Satchell
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, : Academic Press, 2008
Descrizione fisica 1 online resource (217 p.)
Disciplina 336.3
658.155015118
Altri autori (Persone) ChristodoulakisGeorge
SatchellS (Stephen)
Collana Quantitative finance series
Soggetto topico Risk management - Mathematical models
ISBN 9786611071509
9781281071507
1281071501
9780080553887
0080553885
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; The Analytics of Risk Model Validation; Copyright Page; Table of Contents; About the editors; About the contributors; Preface; Chapter 1 Determinants of small business default; Abstract; 1. Introduction; 2. Data, methodology and summary statistics; 3. Empirical results of small business default; 4. Conclusion; References; Notes; Chapter 2 Validation of stress testing models; Abstract; 1. Why stress test?; 2. Stress testing basics; 3. Overview of validation approaches; 4. Subsampling tests; 5. Ideal scenario validation; 6. Scenario validation; 7. Cross-segment validation
8. Back-casting 9. Conclusions; References; Chapter 3 The validity of credit risk model validation methods; Abstract; 1. Introduction; 2. Measures of discriminatory power; 3. Uncertainty in credit risk model validation; 4. Confidence interval for ROC; 5. Bootstrapping; 6. Optimal rating combinations; 7. Concluding remarks; References; Chapter 4 A moments-based procedure for evaluating risk forecasting models; Abstract; 1. Introduction; 2. Preliminary analysis; 3. The likelihood ratio test; 4. A moments test of model adequacy; 5. An illustration; 6. Conclusions; 7. Acknowledgements; References
Notes Appendix; 1. Error distribution; 2. Two-piece normal distribution; 3. t-Distribution; 4. Skew-t distribution; Chapter 5 Measuring concentration risk in credit portfolios; Abstract; 1. Concentration risk and validation; 2. Concentration risk and the IRB model; 3. Measuring name concentration; 4. Measuring sectoral concentration; 5. Numerical example; 6. Future challenges of concentration risk measurement; 7. Summary; References; Notes; Appendix A.1: IRB risk weight functions and concentration risk; Appendix A.2: Factor surface for the diversification factor; Appendix A.3
Chapter 6 A simple method for regulators to cross-check operational risk loss models for banks Abstract; 1. Introduction; 2. Background; 3. Cross-checking procedure; 4. Justification of our approach; 5. Justification for a lower bound using the lognormal distribution; 6. Conclusion; References; Chapter 7 Of the credibility of mapping and benchmarking credit risk estimates for internal rating systems; Abstract; 1. Introduction; 2. Why does the portfolio's structure matter?; 3. Credible credit ratings and credible credit risk estimates; 4. An empirical illustration; 5. Credible mapping
6. Conclusions 7. Acknowledgements; References; Appendix; 1. Further elements of modern credibility theory; 2. Proof of the credibility fundamental relation; 3. Mixed Gamma-Poisson distribution and negative binomial; 4. Calculation of the Bühlmann credibility estimate under the Gamma-Poisson model; 5. Calculation of accuracy ratio; Chapter 8 Analytic models of the ROC curve: Applications to credit rating model validation; Abstract; 1. Introduction; 2. Theoretical implications and applications; 3. Choices of distributions; 4. Performance evaluation on the AUROC estimation with simulated data
5. Summary
Record Nr. UNINA-9910957911603321
Amsterdam, : Academic Press, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Anticipating correlations [[electronic resource] ] : a new paradigm for risk management / / Robert Engle
Anticipating correlations [[electronic resource] ] : a new paradigm for risk management / / Robert Engle
Autore Engle R. F (Robert F.)
Edizione [Course Book]
Pubbl/distr/stampa Princeton, : Princeton University Press, 2009
Descrizione fisica 1 online resource (165 p.)
Disciplina 332.678
Collana Econometric Institute lecture series
Soggetto topico Finance - Econometric models
Economic forecasting - Mathematical models
Risk management - Mathematical models
Correlation (Statistics)
Soggetto genere / forma Electronic books.
ISBN 1-282-15821-X
9786612158216
1-4008-3019-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Introduction -- 1. Correlation Economics -- 2. Correlations in Theory -- 3. Models for Correlation -- 4. Dynamic Conditional Correlation -- 5. DCC Performance -- 6. The MacGyver Method -- 7. Generalized DCC Models -- 8. FACTOR DCC -- 9. Anticipating Correlations -- 10. Credit Risk and Correlations -- 11. Econometric Analysis of the DCC Model -- 12. Conclusions -- References -- Index
Record Nr. UNINA-9910455225903321
Engle R. F (Robert F.)  
Princeton, : Princeton University Press, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Anticipating correlations [[electronic resource] ] : a new paradigm for risk management / / Robert Engle
Anticipating correlations [[electronic resource] ] : a new paradigm for risk management / / Robert Engle
Autore Engle R. F (Robert F.)
Edizione [Course Book]
Pubbl/distr/stampa Princeton, : Princeton University Press, 2009
Descrizione fisica 1 online resource (165 p.)
Disciplina 332.678
Collana Econometric Institute lecture series
Soggetto topico Finance - Econometric models
Economic forecasting - Mathematical models
Risk management - Mathematical models
Correlation (Statistics)
ISBN 1-282-15821-X
9786612158216
1-4008-3019-2
Classificazione QK 620
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Introduction -- 1. Correlation Economics -- 2. Correlations in Theory -- 3. Models for Correlation -- 4. Dynamic Conditional Correlation -- 5. DCC Performance -- 6. The MacGyver Method -- 7. Generalized DCC Models -- 8. FACTOR DCC -- 9. Anticipating Correlations -- 10. Credit Risk and Correlations -- 11. Econometric Analysis of the DCC Model -- 12. Conclusions -- References -- Index
Record Nr. UNINA-9910778220803321
Engle R. F (Robert F.)  
Princeton, : Princeton University Press, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Anticipating correlations : a new paradigm for risk management / / Robert Engle
Anticipating correlations : a new paradigm for risk management / / Robert Engle
Autore Engle R. F (Robert F.)
Edizione [Course Book]
Pubbl/distr/stampa Princeton, : Princeton University Press, 2009
Descrizione fisica 1 online resource (165 p.)
Disciplina 332.678
Collana Econometric Institute lecture series
Soggetto topico Finance - Econometric models
Economic forecasting - Mathematical models
Risk management - Mathematical models
Correlation (Statistics)
ISBN 9786612158216
9781282158214
128215821X
9781400830190
1400830192
Classificazione QK 620
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Introduction -- 1. Correlation Economics -- 2. Correlations in Theory -- 3. Models for Correlation -- 4. Dynamic Conditional Correlation -- 5. DCC Performance -- 6. The MacGyver Method -- 7. Generalized DCC Models -- 8. FACTOR DCC -- 9. Anticipating Correlations -- 10. Credit Risk and Correlations -- 11. Econometric Analysis of the DCC Model -- 12. Conclusions -- References -- Index
Record Nr. UNINA-9910962555103321
Engle R. F (Robert F.)  
Princeton, : Princeton University Press, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui