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The Volatility Costs of Procyclical Lending Standards : an Assessment Using a DSGE Model /
The ongoing financial turmoil has triggered a lively debate on ways of containing systemic risk and lessening the likelihood of boom-and-bust episodes in credit markets. Particularly, it has been argued that banking regulation might attenuate procyclicality in lending standards by affecting the beha...
| Call Number: | Libro Electrónico |
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| Format: | Electronic eBook |
| Language: | Inglés |
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Washington, D.C. :
International Monetary Fund,
2009.
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| Series: | IMF Working Papers ;
Working Paper no. 09/35. |
| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- I. Introduction; II. Empirical Evidence; III. The Model; A. Home economy; B. Foreign economy; C. Shocks; D. Equilibrium and solution method; IV. Calibration; V. Policy experiment: altering the cyclical pattern of lending standards; A. Benchmark leverage level; B. Alternative leverage levels; VI. Sensitivity analysis; VII. Conclusions; Appendix; References; Tables; 1. Results from Estimating an AR(1) Processes to Demeaned LTVs; 2. Benchmark Calibration; Figures; 1. Time Variation in Loan-To-Value Ratios; 2. Share of Output Variation Explained by Credit and Asset Price Shocks.
- 3. Degree of Cyclicality in Credit Innovations4. Procyclicality in Credit Innovations and Sensitivity of Credit to Asset Price Shocks; 5. Procyclicality in Credit Innovations and Macroeconomic Volatility; 6. Increasing Reliance of Emerging Europe on Foreign Funding; 7. Concentration of Emerging Europe Exposure to Western Europe; 3. Business Cycle Moments from Simulated Series under Benchmark Calibration; 4. Policy Exercise Results (Average LTV = 0.4); 5. Policy Exercise Results (Average LTV = 0.7); 8. IRFs to a Negative Productivity Shock under Alternative Leverage Levels.
- 9. IRFs to a Negative Shock to Lending Standards under Alternative Leverage Levels10. Sensitivity of Volatility to Different Degrees of Cyclicality in Lending Standards Under Alternative Leverage Levels; 6. Sensitivity Analysis.