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Global credit review. Volume 3.
Global Credit Review is an annual publication that provides an overview of the most important developments in global credit markets and the regulatory landscape. The third volume provides some critical analysis, reviews the introduction of new regulations and also offers new insights to address the...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
World Scientific,
[2014]
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Message from the Editor; Systemic Risk in Europe Eric Jondeau and Michael Rockinger; INTRODUCTION; I. HOW TO MEASURE SYSTEMIC RISK?; II. MODELLING SYSTEMIC RISK; III. THE SITUATION IN EUROPE; IV. THE SITUATION OF EUROPEAN INSTITUTIONS; NOTE; REFERENCES; Changes in the Ratings Game
- An Update on Various Developments RMI staff; INTRODUCTION; I.A CONSTRUCTIVE RESPONSE TO THE CRA CRITIQUES; 1.1. Litigation; II. LANDMARK CASE; III. CRA REGULATIONS; 3.1. United States; 3.2. Europe; IV. INTERNATIONAL RECOMMENDATIONS; V. IMPROVING CURRENT CRA REGULATIONS.
- 5.1. The US State Insurance RegulatorsVI. CONCLUDING REMARKS; NOTES; Reserve Requirements as Window Guidance in China Violaine Cousin; INTRODUCTION; I. RESERVE REQUIREMENTS
- AN OVERVIEW; 1.1. Reserve Requirements as Monetary Policy Tool; 1.2. Reserve Requirements in China; 1.3. Excess Reserves in China; 1.4. Impact of RRR Changes on Banks; II. RESEARCH DESIGN AND METHODOLOGY; 2.1. Data Set Development; 2.2. Descriptive Statistics; 2.3. Outliers Analysis; 2.4. Rationale for Using MM-Estimates Robust Regression; III. ROBUST REGRESSION RESULTS; 3.1. Overall Impact on Loan Quality.
- 3.2. Results Based on Different State Links3.3. Impact Under Different Conditions; 3.4. Impact of Excess Reserves; IV. CONCLUSION; NOTES; REFERENCES; APPENDIX A; APPENDIX B; APPENDIX C; APPENDIX D; APPENDIX E; The Implementation of the Basel II Default Definition by Credit Risk Assessment Systems: An Analysis of Possible Aggregation Procedures Markus Bingmer and Laura Auria; INTRODUCTION; I. THE TASK OF AGGREGATING DIFFERENT DEFAULT REPORTS; II. A THEORETICAL ANALYSIS OF THE AGGREGATION TASK; 2.1. Using the Default Information of a Single Bank; 2.2. Considering All Defaults.
- 2.3. Building a Default Indicator Based on the Binomial Distribution with the Goal of Consistency2.4. Considering Materiality of Defaults; III. AN EMPIRICAL ANALYSIS OF AGGREGATION WITH THE MATERIALITY THRESHOLD; IV. CONCLUSION; NOTES; REFERENCES; Can Credit-Scoring Models Effectively Predict Microloans Default? Statistical Evidence from the Tunisian Microfinance Bank Ibtissem Baklouti and Abdelfettah Bouri; INTRODUCTION; I. CREDIT SCORING IN MICROFINANCE INSTITUTIONS: THE LITERATURE; II. DATA AND MODEL; 2.1. Sample Selection and Variables Identifi cation; 2.2. Model Description.
- III. EMPIRICAL RESULTS3.1. Univariate Analysis; 3.2. Model Estimation; 3.3. Calibration; 3.3.1. Quality of the logistic regression model; 3.3.2. Validation of the credit-scoring model; IV. CONCLUSION; NOTES; REFERENCES; Stepping Up to the Liquidity Challenge: The Changing Role of Credit Portfolio Management IACPM and KPMG; INTRODUCTION; I. STEPPING UP TO THE LIQUIDITY CHALLENGE: THE CHANGING ROLE OF CPM; II. REGULATORY CHALLENGES; III. SIGNIFICANT CHALLENGES; IV. MANAGING LIQUIDITY RISK; V. MODELING LIQUIDITY RISK; VI. A CONTINUING JOURNEY.