Intuition des décideurs : stress test inversé sur le risque du crédit de la bfpmepar Ghadhab Wassim Institut de financement du développement du Maghreb arabe - 2023 |
BIBLIOGRAPHIEAdamowicz, T. (2018). Types of Risk in Banking Operations : Categorization and Definitions. Economic and Regional Studies, 11(4), 37--56. Ahmad, F., & Bashir, T. (2013). Explanatory Power of Macroeconomic Variable as Determinants of NPL: Evidence from Pakistan. World Applied Sciences Journal, 22, 243-255. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723. Alexandri, M., & Santoso, T. (2015). Non Performing Loan : Impact of Internal and External Factor. International Journal of Humanities and Social Science Invention, 4(1), 87-91. Anand, K., Guillaume, B., & Virginie, T. (2014). Stress testing the Canadian banking System : a systemwide approach. financial System Review, 61-68. Andrea, M., Danilo, R., Nicola, P., & Tommaso, F. (2023). Advancements in Bank Stress Tests : from Bayesian Averaging to Causal AI. Essential services for financial institutions, 3(53), 369-388. Consulté le Mars 2023 Audu, I. (2014). Risk management in the financial service industry. Central Bank of Nigeria Understanding Monetary Policy Series, 4(2), 1-34. Ballester , L., Ferrer, R., & Gonzàlez, C. (2009). interest rate risk and bank-specific characteristics. New Frontiers in Insurance and Bank Risk Management. Basel Committee on Banking Supervision. (2009). Principles for sound stress testing practices. 1-26. Basel Committee on Banking Supervision. (2018). Stress testing principles. Ben youcef, A. (2018). Credit Risk Stress Testing of Commercial Banks in Tunisia », , vol.1, n°1. International Journal of Accounting and Finance Studies, 1(1). BESSIS, J. (1995). Gestion Des Risques et Gestion Actif-Passif des banques. Paris: Dalloz. Blaschke, W., Jones, M., Majnoni, G., & Peria, M. (2001). Stress Testing of Financial Systems: An Overview of Issues, Methodologies, and Fsap Experiences. IMF Working Paper, 1(88), 1-40. Bolt, W., & Tieman, F. (2004). Banking Competition, Risk and Regulation. The Scandinavian Journal of Economics, 106(4), 783-804. Récupéré sur http://www.jstor.org/stable/3441060 Bourbonnais, R. (2002). Econométrie (éd. 4). Paris: Dunod. Castro, V. (2013). Macroeconomic determinants of the credit risk in the banking system : The case of the GIPSI. Economic Modelling(31), 672-683. Chaibi, H., & Ftiti, Z. (2015). Credit risk determinants: Evidence from a cross-country study. Research in International Business and Finance(33), 1-16. 79 Comité de Bâle sur le contrôle bancaire. (2010). Bâle III : dispositif réglementaire mondial visant à renforcer la résilience des établissements et systèmes bancaires. 1-82. Committee on the Global Financial System. (2005). Stress testing at major financial institutions : survey results and practice. Bank for International Settlements. Diebold, F., & Mariano, R. (1995). Comparing predictive accuracy. Journal of Business and Economic Statistics, 13(3), 253-263. Dimitri, D. (2015). Designing Effective Macroprudential Stress Tests: Progress so Far and the Way Forward. MF Working Paper, 15-146. doi: https://dx.doi.org/10.2139/ssrn.2627203 Dimitrios, P., Angelos, T., & Vouldis, L. (2012). Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking & Finance, 36(4), 1012-1027. Récupéré sur https://doi.org/10.1016/j.jbankfin.2011.10.012. Engle, R., & Granger, C. (1987). Co-integrated variables and Eroor-correcting models : Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. Fofack, H. (2005). Nonperforming Loans in Sub-Saharan Africa: Causal Analysis and Macroeconomic Implications. World Bank Policy Research Working Paper(3769), 1-36. Gael, M., David, T., Worapree, M., Rubén, L., Florian, H., Gary, K., . . . Anastasios, P. (2023). Bayesian forecasting in economics and finance : A modern review. International Journal of Forecasting. doi:ISSN 0169-2070 Gary, K., Dimitris, K., & Davide, P. (2013). Bayesian compressed vector autoregressions. Journal of Econometrics, 210(1), 135-154. Gary, K., Dimitris, K., & Davide, P. (2019). Bayesian compressed vector autoregressions. Journal of Econometrics, 210(1), 135-154. doi: https://doi.org/10.1016/j.jeconom.2018.11.009 Giudici, P., & Spelta, A. (2016). Graphical Network Models for International Financial Flows. Journal of Business & Economic Statistics(34), 128-138. Godlewski, C. (2003). Modélisation de la prévision de la défaillance bancaire une application aux banques des pays émergents. Université Robert Schuman, 70-98. Granger, C. (1969). investigating causal relations by econometrics models and cross spectral methods. Econometrica, 37(3), 424-438. Granger, C., & Newbold, P. (1986, November). Forecasting Economic Time Series. Academic Press(4), 352. Hamilton, J. (1994). Time Series Analysis. Princeton. Hannan, E., & Quinn, B. (1979). The determination of the order of an autorégression. Journal of the Royal Statistical Society, 41(2), 190-195. Harvey, D., Leybourne, S., & Newbold, P. (1998). Tests for Forecast Encompassing. Journal of Business & Economic Statistics, 16(2), 254-259. 80 Hasan, I., & Wall, L. (2004). Determinants of the loan loss allowance: some cross-country comparison. The Financial Review, 39(1), 129-152. Hegde, S. H., Hegde, S., Hegde, R., Marthanda, K., & Logu, K. (2023). Performance Analysis of Machine Learning Algorithm for the Credit Risk Analysis in the Banking Sector. International Conference on Computing Methodologies and Communication, 57-63. Jacobs, M., Ahmet, K., & Frank, J. (2015). SensenbrennerStress testing and model validation : application of the Bayesian approach to a credit risk portfolio. The journal of risk model validation, 9(3), 41-70. Jiménez, G., Lopez, J., & Saurina, J. (2013). How does competition affect bank risk-taking? Journal of Financial Stability, 9(2), 185-195. Johansen, S. (1988). Statistical Analysis of Cointegrating Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. Johansen, S. (1991, Nov). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models », , , vol.59, n°6, pp.. Econometrica, 6(59), 1551-1580. Kaufman, G., & Kenneth, E. (2003). What Is Systemic Risk, and Do Bank Regulators Retard or Contribute to It ? The Independent Review, 3(7), 371-391. Kjosevski, J., Petkovski, M., & Naumovska, E. (2019). Bank-specific and macroeconomic determinants of non-performing loans in the Republic of Macedonia: Comparative analysis of enterprise and household NPLs. Economic Research, 1(32), 1185-1203. Kwiatkowski, D., Phillips, P., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root ? Journal of Econometrics, 3(54). Lièák, M. (2016). Stress testing as a risk management method. biatec, 3(14), 3-5. Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer-Verlag, 764. Makri, V., Tsagkanos, A., & Bellas, A. (2014). Determinants of Non-Performing Loans: The Case of Eurozone. Panoeconomicus, 2(61), 193-206. Manove, M., Padilla, J., & Pagano, M. (2001). Collateral versus Project Screening: A Model of Lazy Banks. The RAND Journal of Economics, 32(4), 726-744. doi: https://doi.org/10.2307/2696390 Mathieu, T. (2014). Implémentation du stress-test macro-prudentiel du risque de crédit bancaire dans l'Union Economique et Monétaire Ouest Africaine. UEMOA. Messai, A., & Jouini, F. (2013). Les déterminants de prêts non performants. La Revue Gestion et Organisation(5), 9-13. Messai, A., & Jouini, F. (2013). Micro and Macro Determinants of Non-performing Loans. International Journal of Economics and Financial, 3(4), 852-860. Récupéré sur https://www.econjournals.com/index.php/ijefi/article/view/517 Moussaoui, F. (2015). Le stress test. Kolea : diplôme master statistique et économie appliqué. Finance et actuariat. 81 Nguyên, L. (2018). La formule du savoir : Une philosophie unifiée du savoir fondée sur le théorème de Bayes. France: Eco science. Nkusu, M. (2011). Non performing Loans and Macrofinancial Vulnerabilities in Advanced. International Monetary Fund, 11(161), 1-27. Nouy, D. (2003). L'économie du nouveau dispositif et les conséquences de la nouvelle réglementation. Revue d'économie financière(73). Onha, V., Yen, V., Trang, T., & Trung, H. (2018). A Framework for Macro Stress-Testing the Credit Risk of Commercial Banks : The Case of Vietnam. Asian Social Science, 2(14), 1-17. Paul, H., Matthew, J., & Graham, S. (2004). Stress Testing Financial Systems: What to Do When the Governor Calls. IMF Working Papers, 38. Pflug, G., & Pohl, M. (2018). A Review on Ambiguity in Stochastic Portfolio Optimization. Set-Valued Var(26), 733-757. Schuermann, T. (2014). Stress testing banks. 3(30), 717-728. Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 2(6), 461-464. Sims, C. (1980). Macroeconomics and Reality. Econometrica, 1(48), 2-48. Sims, C., & Zha, T. (1998). Bayesian Methods for Dynamic Multivariate Models. International Economic Review, 4(39), 68-949. Spuch¾áková, E., Valaková, K., & Adamko, P. (2015). The credit risk and its measurement, hedging and monitoring. Procedia Economics and Finance(24), 675-681. Sylvie, C. (2005). Gestion de la banque du diagnostic à la stratégie (éd. 4). Paris: Dunod. Taskinsoy, J. (2013). Basel III : Road to Resilient Banking. Impact on Turkey's Financial Sector. doi:978-3-659-30696-9. Waggoner, D., & Zha, T. (2003). a gibbs sampler for structural vector autoregressions. Journal of Economic Dynamics and Control, 2(28), 349-366. Zeman, J., & Jurca, P. (2008). Macro stress testing of the Slovak banking sector. National bank of Slovakia working paper. Zouali, N. (2015). Stress testing bancaire du risque de défaut des clients Corporate de la BMCI. Institut national de statistique et d'économie appliquée Maroc. 82 |
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