| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910455949103321 |
|
|
Titolo |
Interim report 3, evaluation of 1995 county and school district estimates for title 1 allocations [[electronic resource] /] / Constance F. Citro and Graham Kalton, editors ; Panel on Estimates of Poverty for Small Geographic Areas, Committee on National Statistics, Commission on Behavioral and Social Sciences and Education, National Research Council |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Washington, D.C., : National Academy Press, 1999 |
|
|
|
|
|
|
|
ISBN |
|
1-282-08220-5 |
9786612082207 |
0-309-51747-8 |
0-585-05789-3 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Collana |
|
The compass series: small-area estimates of school-age children in poverty |
|
|
|
|
|
|
|
|
Altri autori (Persone) |
|
CitroConstance F <1942-> (Constance Forbes) |
KaltonGraham |
|
|
|
|
|
|
|
|
Soggetti |
|
Poor children - United States - Statistical methods |
Children - United States - Economic conditions - Statistical methods |
Poverty - United States - Statistical methods |
Poor children - Education - United States - Finance - Statistical methods |
Federal aid to education - United States - Statistical methods |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. 115-118). |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910455535803321 |
|
|
Titolo |
Econometrics and risk management [[electronic resource] /] / edited by Jean-Pierre Fouque, Thomas B. Fomby, Knut Solna |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
ISBN |
|
1-280-77108-9 |
9786613681850 |
1-84855-197-5 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (302 p.) |
|
|
|
|
|
|
Collana |
|
Advances in econometrics, , 0731-9053 ; ; v. 22 |
|
|
|
|
|
|
Altri autori (Persone) |
|
FombyThomas B |
FouqueJean-Pierre |
SolnaKnut |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Credit derivatives - Mathematical models |
Credit - Mathematical models |
Econometrics |
Risk management - Mathematical models |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
Nota di contenuto |
|
Front Cover; Econometrics and Risk Management; Copyright Page; Contents; List of Contributors; Introduction; Chapter 1. Fast Solution of the Gaussian Copula Model; 1. Introduction; 2. The Synthetic CDO Structure; 3. Valuation Assumptions; 4. The Model; 5. Pricing; 6. A Decomposition; 7. Intrinsic Simplicity of the Intrinsic Value; 8. Time Stability of the Time Value; 9. The Time Value Computation; References; Chapter 2. An Empirical Study of Pricing and Hedging Collateralized Debt Obligation (CDO); 1. Introduction to Collateralized Debt Obligation; 2. Methodology of Pricing CDO |
3. Methodology of Calculating Default Delta Sensitivity4. Empirical Results; 5. Conclusions; Note; References; Chapter 3. The Skewed t Distribution for Portfolio Credit Risk; 1. Introduction; 2. Skewed t Distributions and the EM Algorithm; 3. Copulas; 4. Measures of Dependence; 5. Single Name Credit Risk; 6. Portfolio Credit Risk; 7. Pricing of Basket Credit Default Swaps: Elliptical Copulas Versus the |
|
|
|
|
|
|
|
|
|
|
|
Skewed t Distribution; 8. Summary and Concluding Remarks; References; Chapter 4. Credit Risk Dependence Modeling with Dynamic Copula: An Application to CDO Tranches; 1. Introduction |
2. Dynamic Archimedean Copula Processes3. Specific Dynamic Archimedean Copula Process; 4. Pricing of a Correlation Product: CDO; 5. Conclusions; Notes; References; Chapter 5. Perturbed Gaussian Copula; 1. Asymptotics; 2. Density of the Perturbed Copula; 3. Conclusion; References; Appendix. Explicit Formulas; Chapter 6. The Determinants of Default Correlations; 1. Introduction; 2. A Brief Digression on Measures of Dependence; 3. Default Risk and Correlations; 4. Data and Methodology; 5. Empirical Evidence; 6. Conclusion; Notes; Acknowledgment; References; Appendix A. Structural Models |
Appendix B. Factor AnalysisChapter 7. Data Mining Procedures in Generalized Cox Regressions; 1. Introduction; 2. Part I: Generalized Cox Regression with Time-Independent Covariates; 3. Part II: Generalized Cox Regression with Time-Dependent and Hidden Covariates; 4. Concluding Remarks; Notes; Acknowledgments; References; Appendix A. Counting and Intensity Processes; Appendix B. Gamma and Variance Gamma Processes; Chapter 8. Jump Diffusion in Credit Barrier Modeling: A Partial Integro-Differential Equation Approach; 1. Introduction; 2. Modeling Credit Index with Lévy Processes |
3. Credit Rating Migration Model4. Calibration to Historical Rating Transition Matrices; 5. Change to the Risk-Neutral Measure; 6. Conclusion; Acknowledgments; References; Chapter 9. Bond Markets with Stochastic Volatility; 1. Introduction; 2. Pricing Bonds; 3. Affine Models; 4. The Vasicek Model with Stochastic Volatility; 5. The Bond Price with Stochastic Volatility; 6. Group Parameter Reduction; 7. Calibration of the Model; 8. Connection to Default Able Bonds; References; Chapter 10. Two-Dimensional Markovian Model for Dynamics of Aggregate Credit Loss; 1. Introduction; 2. The Model |
3. Calibration |
|
|
|
|
|
|
Sommario/riassunto |
|
Covers credit risk and credit derivatives. This book offers several points of view on credit risk when looked at from the perspective of Econometrics and Financial Mathematics. It addresses the challenge of modeling defaults and their correlations, and re |
|
|
|
|
|
|
|
| |