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Til Schuermann

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Schuermann, Til, 2014. "Stress testing banks," International Journal of Forecasting, Elsevier, vol. 30(3), pages 717-728.

    Mentioned in:

    1. Ensuring Stress Tests Remain Effective
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2018-01-22 13:00:51
  2. Evan Gatev & Til Schuermann & Philip E. Strahan, 2006. "Managing Bank Liquidity Risk: How Deposit-Loan Synergies Vary with Market Conditions," NBER Working Papers 12234, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Making Finance Safe
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2014-10-06 17:30:15

Working papers

  1. Schuermann, Til, 2016. "Stress Testing in Wartime and in Peacetime," Working Papers 16-01, University of Pennsylvania, Wharton School, Weiss Center.

    Cited by:

    1. Thomas Ian Schneider & Philip E. Strahan & Jun Yang, 2020. "Bank Stress Testing: Public Interest or Regulatory Capture?," NBER Working Papers 26887, National Bureau of Economic Research, Inc.
    2. B. Camara & P. Pessarossi & T. Philippon, 2017. "Back-testing European stress tests," Débats économiques et financiers 26, Banque de France.
    3. Parlatore Siritto, Cecilia & Philippon, Thomas, 2022. "Designing Stress Scenarios," CEPR Discussion Papers 17145, C.E.P.R. Discussion Papers.
    4. Metrick, Andrew, 2021. "Stress Tests and Policy," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 3(1), pages 1-19, April.
    5. Kristle Romero Cortes & Yuliya Demyanyk & Lei Li & Elena Loutskina & Philip E. Strahan, 2018. "Stress Tests and Small Business Lending," Working Papers (Old Series) 1802, Federal Reserve Bank of Cleveland.
    6. Chang Liu & Raja Nassar, 2019. "Stress Testing for Retail Mortgages Based on Probability Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 433-455, January.
    7. Hernández, Javier & Población García, Francisco Javier & Suárez, Nuria & Tarancón, Javier, 2022. "A study on the EBA stress test results: influence of bank, portfolio, and country-level characteristics," Working Paper Series 2648, European Central Bank.

  2. Gallardo, German Gutierrez & Schuermann, Til & Duane, Michael, 2015. "Stress Testing Convergence," Working Papers 15-11, University of Pennsylvania, Wharton School, Weiss Center.

    Cited by:

    1. Thomas Schneider & Philip E Strahan & Jun Yang, 2023. "Bank Stress Testing: Public Interest or Regulatory Capture?," Review of Finance, European Finance Association, vol. 27(2), pages 423-467.
    2. Cornett, Marcia Millon & Minnick, Kristina & Schorno, Patrick J. & Tehranian, Hassan, 2020. "An examination of bank behavior around Federal Reserve stress tests," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    3. Niepmann, Friederike & Stebunovs, Viktors, 2024. "Modeling your stress away," Journal of Banking & Finance, Elsevier, vol. 158(C).

  3. Brown, Jeffrey A. & McGourty, Brad & Schuermann, Til, 2015. "Model Risk and the Great Financial Crisis: The Rise of Modern Model Risk Management," Working Papers 15-01, University of Pennsylvania, Wharton School, Weiss Center.

    Cited by:

    1. Paul H. Kupiec, 2018. "On the accuracy of alternative approaches for calibrating bank stress test models," AEI Economics Working Papers 980152, American Enterprise Institute.

  4. Ames, Mark & Schuermann, Til & Scott, Hal S., 2014. "Bank Capital for Operational Risk: A Tale of Fragility and Instability," Working Papers 14-02, University of Pennsylvania, Wharton School, Weiss Center.

    Cited by:

    1. Zhou, Xiaoping & Durfee, Antonina V. & Fabozzi, Frank J., 2016. "On stability of operational risk estimates by LDA: From causes to approaches," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 266-278.
    2. J. D. Opdyke, 2014. "Estimating Operational Risk Capital with Greater Accuracy, Precision, and Robustness," Papers 1406.0389, arXiv.org, revised Nov 2014.
    3. Georges Dionne & Amir Saissi Hassani, 2015. "Endogenous Hidden Markov Regimes in Operational Loss Data: Application to the Recent Financial Crisis," Cahiers de recherche 1516, CIRPEE.

  5. Duane, Michael & Schuermann, Til & Reynolds, Peter, 2013. "Stress Testing Bank Profitability," Working Papers 13-30, University of Pennsylvania, Wharton School, Weiss Center.

    Cited by:

    1. Kuo-Wei Hsiao & Zhengyi Jiang, 2015. "The Pre- and Post-Crisis Stress Testing in the Banking Sector — A Literature Review," Global Credit Review (GCR), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 77-97.

  6. Schuermann, Til, 2013. "Stress Testing Banks," Working Papers 12-08, University of Pennsylvania, Wharton School, Weiss Center.

    Cited by:

    1. Pierluigi Bologna & Anatoli Segura, 2016. "Integrating stress tests within the Basel III capital framework: a macroprudentially coherent approach," Questioni di Economia e Finanza (Occasional Papers) 360, Bank of Italy, Economic Research and International Relations Area.
    2. Acharya, Viral V. & Berger, Allen N. & Roman, Raluca A., 2018. "Lending implications of U.S. bank stress tests: Costs or benefits?," Journal of Financial Intermediation, Elsevier, vol. 34(C), pages 58-90.
    3. Jens H. E. Christensen & Jose A. Lopez & Glenn D. Rudebusch, 2013. "A Probability-Based Stress Test of Federal Reserve Assets and Income," Working Paper Series 2013-38, Federal Reserve Bank of San Francisco.
    4. Goncharenko, Roman & Hledik, Juraj & Pinto, Roberto, 2018. "The dark side of stress tests: Negative effects of information disclosure," Journal of Financial Stability, Elsevier, vol. 37(C), pages 49-59.
    5. Bank for International Settlements, 2020. "Stress testing in Latin America: A comparison of approaches and methodologies," BIS Papers, Bank for International Settlements, number 108.
    6. Koziol, Philipp & Schell, Carmen & Eckhardt, Meik, 2015. "Credit risk stress testing and copulas: Is the Gaussian copula better than its reputation?," Discussion Papers 46/2015, Deutsche Bundesbank.
    7. Billio, Monica & Casarin, Roberto & Costola, Michele & Pasqualini, Andrea, 2016. "An entropy-based early warning indicator for systemic risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 42-59.
    8. Cont, Rama & Kotlicki, Artur & Valderrama, Laura, 2020. "Liquidity at risk: Joint stress testing of solvency and liquidity," Journal of Banking & Finance, Elsevier, vol. 118(C).
    9. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    10. Li Lian Ong & Ceyla Pazarbasioglu, 2014. "Credibility and Crisis Stress Testing," IJFS, MDPI, vol. 2(1), pages 1-67, February.
    11. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).
    12. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    13. Kund, Arndt-Gerrit & Rugilo, Daniel, 2023. "Does IFRS 9 increase banks’ resilience?," Working Paper Series 2792, European Central Bank.
    14. Xavier Timbeau, 2015. "A diverging Europe on the edge. The independent Annual Growth Survey 2015," Post-Print hal-03620048, HAL.
    15. Cristina Zeldea, 2020. "Modeling the Connection between Bank Systemic Risk and Balance-Sheet Liquidity Proxies through Random Forest Regressions," Administrative Sciences, MDPI, vol. 10(3), pages 1-14, August.
    16. Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2020. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 202040, University of Pretoria, Department of Economics.
    17. Siemsen, Thomas & Vilsmeier, Johannes, 2018. "On a quest for robustness: About model risk, randomness and discretion in credit risk stress tests," Discussion Papers 31/2018, Deutsche Bundesbank.
    18. Lazzari, Valter & Vena, Luigi & Venegoni, Andrea, 2017. "Stress tests and asset quality reviews of banks: A policy announcement tool," Journal of Financial Stability, Elsevier, vol. 32(C), pages 86-98.
    19. Richard B. Berner & Stephen G. Cecchetti & Kermit L. Schoenholtz, 2019. "Stress Testing Networks: The Case of Central Counterparties," NBER Working Papers 25686, National Bureau of Economic Research, Inc.
    20. Pacicco, Fausto & Vena, Luigi & Venegoni, Andrea, 2020. "Communication and financial supervision: How does disclosure affect market stability?," Journal of Empirical Finance, Elsevier, vol. 57(C), pages 1-15.
    21. Rhys M. Bidder & Andrew McKenna, 2015. "Robust stress testing," Working Paper Series 2015-13, Federal Reserve Bank of San Francisco.
    22. Michael Jacobs, 2016. "Stress Testing and a Comparison of Alternative Methodologies for Scenario Generation," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(6), pages 1-7.
    23. Joel Shapiro & Jing Zeng, 2024. "Stress Testing and Bank Lending," The Review of Financial Studies, Society for Financial Studies, vol. 37(4), pages 1265-1314.
    24. Fausto Pacicco & Luigi Vena & Andrea Venegoni, 2017. "Full disclosure and financial stability: how does the market digest the transparency shock?," LIUC Papers in Economics 305, Cattaneo University (LIUC).
    25. Sahin, Cenkhan & de Haan, Jakob & Neretina, Ekaterina, 2020. "Banking stress test effects on returns and risks," Journal of Banking & Finance, Elsevier, vol. 117(C).
    26. Mora, Nada, 2015. "Creditor recovery: The macroeconomic dependence of industry equilibrium," Journal of Financial Stability, Elsevier, vol. 18(C), pages 172-186.
    27. Wu, Deming & Fang, Ming & Wang, Qing, 2018. "An empirical study of bank stress testing for auto loans," Journal of Financial Stability, Elsevier, vol. 39(C), pages 79-89.
    28. Abildgren, Kim, 2014. "Far out in the tails – The historical distributions of macro-financial risk factors in Denmark," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2014(1), pages 1-31.
    29. Nguyen, Thach Vu Hong & Ahmed, Shamim & Chevapatrakul, Thanaset & Onali, Enrico, 2020. "Do stress tests affect bank liquidity creation?," Journal of Corporate Finance, Elsevier, vol. 64(C).
    30. Mitchell Berlin, 2015. "Disclosure of stress test results," Working Papers 15-31, Federal Reserve Bank of Philadelphia.
    31. Céline Antonin & Christophe Blot & Jérôme Creel & Fabien Labondance & Vincent Touzé & Paul Hubert, 2014. "Comment lutter contre la fragmentation du système bancaire de la zone euro," SciencePo Working papers Main hal-01093021, HAL.
    32. Salvador Climent-Serrano, 2017. "Econometric Model to Estimate Defaults on Payment in the Spanish Financial Sector in Oliver Wyman¡¯s Stress Tests," Applied Finance and Accounting, Redfame publishing, vol. 3(1), pages 24-35, February.
    33. Jungherr, Joachim, 2016. "Bank opacity and financial crises," Economics Working Papers ADE2016/02, European University Institute.
    34. Harun, Cicilia A. & Taruna, Aditya Anta & Ramdani,, 2021. "Capturing the nonlinear impact in distress state: Enhancing scenario design of stress test," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 265-288.
    35. Jungherr, Joachim, 2018. "Bank opacity and financial crises," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 157-176.
    36. Pereira, Ana Elisa, 2021. "Rollover risk and stress test credibility," Games and Economic Behavior, Elsevier, vol. 129(C), pages 370-399.
    37. Kanno, Masayasu, 2020. "Credit rating migration risk and interconnectedness in a corporate lending network," Research in International Business and Finance, Elsevier, vol. 54(C).
    38. Ventsislav Hristev, 2014. "Bank Stress-Testing Lessons from Central, Eastern and Southeastern European Countries," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 92-109, December.
    39. Brummelhuis, Raymond & Luo, Zhongmin, 2019. "Bank Net Interest Margin Forecasting and Capital Adequacy Stress Testing by Machine Learning Techniques," MPRA Paper 94779, University Library of Munich, Germany.
    40. Yaron Leitner, 2014. "Should regulators reveal information about banks?," Business Review, Federal Reserve Bank of Philadelphia, issue Q3, pages 1-8.
    41. Aditya Anta Taruna & Cicilia Anggadewi Harun & Raquela Renanda Nattan, 2020. "Macroprudential Liquidity Stress Test: An Application to Indonesian Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 165-187.
    42. Niluthpaul Sarker & Shamsun Nahar, 2018. "The Vulnerability Trends of the Banking Sector of Bangladesh: A Stress Testing Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 75-85.
    43. García, Raffi E. & Steele, Suzanne, 2022. "Stress testing and bank business patterns: A regression discontinuity study," Journal of Banking & Finance, Elsevier, vol. 135(C).
    44. Zoran Wittine & Ivana Vuk, 2016. "Analysis of Stability and Exposure of Croatian Bank System to Non-Credit Risks," Business and Economic Research, Macrothink Institute, vol. 6(2), pages 331-342, December.
    45. Sascha Steffen & Lea Steinruecke, 2015. "Funktionsweise und Einschätzung des Comprehensive Assessment," Schmalenbach Journal of Business Research, Springer, vol. 67(4), pages 418-443, December.
    46. Moustapha Daouda Dala & Isabelle Distinguin & Alain Sauviat, 2020. "What is the information value of bank's stress tests? An investigation using banks' bond split ratings," Working Papers hal-02475512, HAL.
    47. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2018. "Many a little makes a mickle: Stress testing small and medium-sized German banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 237-253.
    48. Pavel Kapinos & Oscar A. Mitnik, 2016. "A Top-down Approach to Stress-testing Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 229-264, June.
    49. Nikolas Stege & Christoph Wegener & Tobias Basse & Frederik Kunze, 2021. "Mapping swap rate projections on bond yields considering cointegration: an example for the use of neural networks in stress testing exercises," Annals of Operations Research, Springer, vol. 297(1), pages 309-321, February.
    50. William D. Larson, 2021. "The Riskiness of Outstanding Mortgages in the United States, 1999 - 2019," FHFA Staff Working Papers 21-03, Federal Housing Finance Agency.
    51. Huang, Qiubin & de Haan, Jakob & Scholtens, Bert, 2020. "Does bank capitalization matter for bank stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    52. Moustapha Daouda Dala & Isabelle Distinguin & Alain Sauviat, 2020. "What is the information value of bank's stress tests? An investigation using banks' bond split ratings," Economics Bulletin, AccessEcon, vol. 40(1), pages 485-499.
    53. Matthew Pritsker, 2017. "Choosing Stress Scenarios for Systemic Risk Through Dimension Reduction," Supervisory Research and Analysis Working Papers RPA 17-4, Federal Reserve Bank of Boston.
    54. Hernández, Javier & Población García, Francisco Javier & Suárez, Nuria & Tarancón, Javier, 2022. "A study on the EBA stress test results: influence of bank, portfolio, and country-level characteristics," Working Paper Series 2648, European Central Bank.

  7. Thakor, Anjan & Acharya, Viral & Mehran, Hamid & Schuermann, Til, 2012. "Robust Capital Regulation," CEPR Discussion Papers 8792, C.E.P.R. Discussion Papers.

    Cited by:

    1. Gornall, Will & Strebulaev, Ilya A., 2018. "Financing as a supply chain: The capital structure of banks and borrowers," Journal of Financial Economics, Elsevier, vol. 129(3), pages 510-530.
    2. Bunkanwanicha, Pramuan & Gupta, Jyoti & Wiwattanakantang, Yupana, 2016. "Pyramidal group structure and bank risk in Thailand," Journal of Comparative Economics, Elsevier, vol. 44(2), pages 272-288.
    3. Markus Behn & Rainer Haselmann & Paul Wachtel, 2013. "Pro-Cyclical Capital Regulation and Lending," Working Papers 13-11, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Jyh-Horng Lin & Pei-Chi Lii & Fu-Wei Huang & Shi Chen, 2019. "Cross-Border Lending, Government Capital Injection, and Bank Performance," IJFS, MDPI, vol. 7(2), pages 1-20, April.
    5. M. Lé, 2013. "Deposit Insurance Adoption and Bank Risk-Taking: the Role of Leverage," Débats économiques et financiers 9, Banque de France.
    6. Chen, Shi & Lin, Ku-Jun, 2016. "Effects of government capital injection on bank and bank-dependent borrower," Economic Modelling, Elsevier, vol. 52(PB), pages 618-629.
    7. Viral V. Acharya & Hamid Mehran & Anjan V. Thakor, 2010. "Caught between Scylla and Charybdis? Regulating bank leverage when there is rent seeking and risk shifting," Working Papers (Old Series) 1024, Federal Reserve Bank of Cleveland.
    8. Hasan, Iftekhar & Kim, Suk-Joong & Wu, Eliza, 2014. "The effects of ratings-contingent regulation on international bank lending behavior: Evidence from the Basel 2 accord," Bank of Finland Research Discussion Papers 25/2014, Bank of Finland.
    9. Bucher, Monika & Dietrich, Diemo & Hauck, Achim, 2018. "Implications of bank regulation for loan supply and bank stability: A dynamic perspective," Discussion Papers 43/2018, Deutsche Bundesbank.
    10. Sumera Anis & Abdul Rashid, 2017. "Optimal Bank Capital And Impact Of The Mm Theorem: A Study Of The Pakistani Financial Sector," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-21, June.
    11. Thi Mai Luong, 2020. "Selection Effects of Lender and Borrower Choices on Risk Measurement, Management and Prudential Regulation," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2020, January-A.
    12. Hasan, Iftekhar & Hassan, Gazi & Kim, Suk-Joong & Wu, Eliza, 2021. "The real impact of ratings-based capital rules on the finance-growth nexus," International Review of Financial Analysis, Elsevier, vol. 73(C).
    13. Jyh-Horng Lin & Shi Chen & Fu-Wei Huang, 2018. "Bank Interest Margin, Multiple Shadow Banking Activities, and Capital Regulation," IJFS, MDPI, vol. 6(3), pages 1-20, July.
    14. Hogan, Thomas L., 2015. "Capital and risk in commercial banking: A comparison of capital and risk-based capital ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 32-45.
    15. Jou, Rosemary & Chen, Shi & Tsai, Jeng-Yan, 2017. "Politically connected lending, government capital injection, and bank performance," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 220-232.
    16. Changjun Zheng & Syed Moudud-Ul-Huq, 2017. "Banks’ capital regulation and risk: Does bank vary in size? Empirical evidence from Bangladesh," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(02n03), pages 1-27, June.
    17. Li, Xuelian & Lin, Jyh-Horng, 2016. "Shadow-banking entrusted loan management, deposit insurance premium, and capital regulation," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 98-109.
    18. Chen, Shi & Lin, Ku-Jun, 2015. "Technology choice and bank performance with government capital injection under deposit insurance fund protection," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 162-174.
    19. Nguyen, Quang Thi Thieu & Gan, Christopher & Li, Zhaohua, 2019. "Bank capital regulation: How do Asian banks respond?," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).

  8. Beverly Hirtle & Til Schuermann & Kevin J. Stiroh, 2009. "Macroprudential supervision of financial institutions: lessons from the SCAP," Staff Reports 409, Federal Reserve Bank of New York.

    Cited by:

    1. Office of Financial Research (ed.), 2012. "Office of Financial Research 2012 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 12-1, May.
    2. Paul Glasserman & Chulmin Kang & Wanmo Kang, 2013. "Stress Scenario Selection by Empirical Likelihood," Working Papers 13-07, Office of Financial Research, US Department of the Treasury.
    3. Tobias Adrian & Patrick de Fontnouvelle & Emily Yang & Andrei Zlate, 2015. "Macroprudential policy: case study from a tabletop exercise," Staff Reports 742, Federal Reserve Bank of New York.
    4. Acharya, Viral V. & Berger, Allen N. & Roman, Raluca A., 2018. "Lending implications of U.S. bank stress tests: Costs or benefits?," Journal of Financial Intermediation, Elsevier, vol. 34(C), pages 58-90.
    5. Xin Huang & Hao Zhou & Haibin Zhu, 2011. "Systemic risk contributions," Finance and Economics Discussion Series 2011-08, Board of Governors of the Federal Reserve System (U.S.).
    6. Markus K. Brunnermeier & Gary Gorton & Arvind Krishnamurthy, 2011. "Risk Topography," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 149-176, National Bureau of Economic Research, Inc.
    7. Shahhosseini, Mehrnoush, 2022. "Capital requirements and banks’ behavior: Evidence from bank stress tests," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 240-262.
    8. Kuo-Wei Hsiao & Zhengyi Jiang, 2015. "The Pre- and Post-Crisis Stress Testing in the Banking Sector — A Literature Review," Global Credit Review (GCR), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 77-97.
    9. Acharya, Viral & Engle, Robert & Pierret, Diane, 2014. "Testing macroprudential stress tests: The risk of regulatory risk weights," Journal of Monetary Economics, Elsevier, vol. 65(C), pages 36-53.
    10. Cosmin L. Ilut & Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2010. "Monetary Policy and Stock Market Booms," Working Papers 10-69, Duke University, Department of Economics.
    11. Li Lian Ong & Ceyla Pazarbasioglu, 2014. "Credibility and Crisis Stress Testing," IJFS, MDPI, vol. 2(1), pages 1-67, February.
    12. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).
    13. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    14. Cetina, Jill & Paddrik, Mark & Rajan, Sriram, 2018. "Stressed to the core: Counterparty concentrations and systemic losses in CDS markets," Journal of Financial Stability, Elsevier, vol. 35(C), pages 38-52.
    15. Jingnan Chen & Mark D. Flood & Richard B. Sowers, 2017. "Measuring the unmeasurable: an application of uncertainty quantification to Treasury bond portfolios," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1491-1507, October.
    16. Cappelletti, Giuseppe & Ponte Marques, Aurea & Varraso, Paolo & Budrys, Žymantas & Peeters, Jonas, 2019. "Impact of higher capital buffers on banks’ lending and risk-taking: evidence from the euro area experiments," Working Paper Series 2292, European Central Bank.
    17. Ms. Li L Ong & Ceyla Pazarbasioglu, 2013. "Credibility and Crisis Stress Testing," IMF Working Papers 2013/178, International Monetary Fund.
    18. Peter Sarlin & Henrik J. Nyman, 2013. "The process of macroprudential oversight in Europe," Papers 1312.7545, arXiv.org, revised Sep 2014.
    19. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    20. Siregar, Reza Yamora & Lim, CS Vincent, 2010. "The Role of Central Banks in Sustaining Economic Recovery and in Achieving Financial Stability," MPRA Paper 20846, University Library of Munich, Germany.
    21. Dissem, Sonia & Lobez, Frederic, 2020. "Correlation between the 2014 EU-wide stress tests and the market-based measures of systemic risk," Research in International Business and Finance, Elsevier, vol. 51(C).
    22. Joel Shapiro & David Skeie, 2015. "Information Management in Banking Crises," The Review of Financial Studies, Society for Financial Studies, vol. 28(8), pages 2322-2363.
    23. Rhys M. Bidder & Andrew McKenna, 2015. "Robust stress testing," Working Paper Series 2015-13, Federal Reserve Bank of San Francisco.
    24. Dudin, Mikhail & Sekerin, Vladimir & Smirnova, Olga & Frolova, Evgenia & Sepiashvili, Ekaterina, 2014. "State Anti-Crisis Management of Banking Sector: Looking for Optimization Ways and Contemporary Development Trends," Working Papers dudnov, Russian Presidential Academy of National Economy and Public Administration.
    25. Wall, Larry, 2014. "Measuring capital adequacy: supervisory stress-tests in a Basel world," Journal of Financial Perspectives, EY Global FS Institute, vol. 2(1), pages 85-94.
    26. Paul Glasserman & Gowtham Tangirala, 2015. "Are the Federal Reserve's Stress Test Results Predictable?," Working Papers 15-02, Office of Financial Research, US Department of the Treasury.
    27. Yoldas, Emre & Senyuz, Zeynep, 2018. "Financial stress and equilibrium dynamics in term interbank funding markets," Journal of Financial Stability, Elsevier, vol. 34(C), pages 136-149.
    28. Rick Bookstaber & Jill Cetina & Greg Feldberg & Mark Flood & Paul Glasserman, 2013. "Stress Tests to Promote Financial Stability: Assessing Progress and Looking to the Future," Working Papers 13-10, Office of Financial Research, US Department of the Treasury.
    29. Fausto Pacicco & Luigi Vena & Andrea Venegoni, 2017. "Full disclosure and financial stability: how does the market digest the transparency shock?," LIUC Papers in Economics 305, Cattaneo University (LIUC).
    30. Metrick, Andrew, 2021. "Stress Tests and Policy," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 3(1), pages 1-19, April.
    31. Nguyen, Thach Vu Hong & Ahmed, Shamim & Chevapatrakul, Thanaset & Onali, Enrico, 2020. "Do stress tests affect bank liquidity creation?," Journal of Corporate Finance, Elsevier, vol. 64(C).
    32. Koliai, Lyes, 2016. "Extreme risk modeling: An EVT–pair-copulas approach for financial stress tests," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 1-22.
    33. Kristle Romero Cortes & Yuliya Demyanyk & Lei Li & Elena Loutskina & Philip E. Strahan, 2018. "Stress Tests and Small Business Lending," Working Papers (Old Series) 1802, Federal Reserve Bank of Cleveland.
    34. Siregar, Reza, 2011. "Macro-Prudential Approaches to Banking Regulation: Perspectives of Selected Asian Central Banks," ADBI Working Papers 325, Asian Development Bank Institute.
    35. Francisco Covas & Ben Rump & Egon Zakrajšek, 2013. "Stress-testing U.S. bank holding companies: a dynamic panel quantile regression approach," Finance and Economics Discussion Series 2013-55, Board of Governors of the Federal Reserve System (U.S.).
    36. Gary Gorton, 2015. "Stress for Success: A Review of Timothy Geithner's Financial Crisis Memoir," Journal of Economic Literature, American Economic Association, vol. 53(4), pages 975-995, December.
    37. Viral V. Acharya & Matthew Richardson, 2012. "Implications of the Dodd-Frank Act," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 1-38, October.
    38. Paul Glasserman & Chulmin Kang & Wanmo Kang, 2015. "Stress scenario selection by empirical likelihood," Quantitative Finance, Taylor & Francis Journals, vol. 15(1), pages 25-41, January.
    39. J'ozsef Mezei & Peter Sarlin, 2016. "RiskRank: Measuring interconnected risk," Papers 1601.06204, arXiv.org.
    40. Til Schuermann, 2020. "Capital Adequacy Pre‐ and Postcrisis and the Role of Stress Testing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 87-105, October.
    41. Jozsef Mezei & Peter Sarlin, 2014. "Aggregation operators for the measurement of systemic risk," Papers 1412.5452, arXiv.org, revised Dec 2014.
    42. Nan Chen & Paul Glasserman & Behzad Nouri & Markus Pelger, 2013. "CoCos, Bail-In, and Tail Risk," Working Papers 13-04, Office of Financial Research, US Department of the Treasury.
    43. Samuel G. Hanson & Anil K. Kashyap & Jeremy C. Stein, 2011. "A Macroprudential Approach to Financial Regulation," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 3-28, Winter.
    44. Tatiana Didier & Sergio L. Schmukler, 2014. "Emerging Issues in Financial Development : Lessons from Latin America," World Bank Publications - Books, The World Bank Group, number 16387.
    45. Luu, Hiep Ngoc & Vo, Xuan Vinh, 2021. "The Impact of Supervisory Stress Tests on Bank Ex-Ante Risk-Taking Behaviour: Empirical Evidence from a Quasi-Natural Experiment," International Review of Financial Analysis, Elsevier, vol. 75(C).
    46. Petrella, Giovanni & Resti, Andrea, 2013. "Supervisors as information producers: Do stress tests reduce bank opaqueness?," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5406-5420.
    47. VanHoose, David, 2011. "Systemic Risk and Macroprudential Bank Regulation: A Critical Appraisal," Journal of Financial Transformation, Capco Institute, vol. 33, pages 45-60.
    48. Reza Siregar & Lim, C.S. Vincent, 2011. "Living with Macro-financial Linkages: Policy Perspectives and Challenges for SEACEN Countries," Staff Papers, South East Asian Central Banks (SEACEN) Research and Training Centre, number sp79, April.
    49. Jingnan Chen & Mark D. Flood & Richard B. Sowers, 2015. "Measuring the Unmeasurable: An Application of Uncertainty Quantification to Financial Portfolios," Working Papers 15-19, Office of Financial Research, US Department of the Treasury.
    50. Mezei, József & Sarlin, Peter, 2018. "RiskRank: Measuring interconnected risk," Economic Modelling, Elsevier, vol. 68(C), pages 41-50.

  9. Pesaran, M.H. & Schuermann, T. & Smit, L.V., 2008. "Forecasting Economic and Financial Variables with Global VARs," Cambridge Working Papers in Economics 0807, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    2. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2023. "Forecasting regional GDPs: a comparison with spatial dynamic panel data models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(4), pages 530-551, October.
    3. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    4. Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
    5. Barakchian , Seyed Mahdi, 2012. "Implications of Cointegration for Forecasting: A Review and an Empirical Analysis," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 7(1), pages 87-118, October.
    6. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    7. Tian, Jing & Anderson, Heather M., 2014. "Forecast combinations under structural break uncertainty," International Journal of Forecasting, Elsevier, vol. 30(1), pages 161-175.
    8. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi & Alessandro Rebucci, 2020. "A Counterfactual Economic Analysis of Covid-19 Using a Threshold Augmented Multi-Country Model," CESifo Working Paper Series 8588, CESifo.
    9. Audrone Jakaitiene & Stephane Dees, 2012. "Forecasting the World Economy in the Short Term," The World Economy, Wiley Blackwell, vol. 35(3), pages 331-350, March.
    10. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    11. P�r Österholm, 2014. "Survey data and short-term forecasts of Swedish GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(2), pages 135-139, January.
    12. Sa, Filipa & Wieladek, Tomasz, 2010. "Monetary policy, capital inflows and the housing boom," Bank of England working papers 405, Bank of England.
    13. Garratt, Anthony & Lee, Kevin & Shields, Kalvinder, 2016. "Forecasting global recessions in a GVAR model of actual and expected output," International Journal of Forecasting, Elsevier, vol. 32(2), pages 374-390.
    14. Helmut Herwartz, 2011. "Forecast accuracy and uncertainty in applied econometrics: a recommendation of specific-to-general predictor selection," Empirical Economics, Springer, vol. 41(2), pages 487-510, October.
    15. Charemza, Wojciech & Makarova, Svetlana & Prytula, Yaroslav & Raskina, Julia & Vymyatnina, Yulia, 2009. "A small forward-looking inter-country model (Belarus, Russia and Ukraine)," Economic Modelling, Elsevier, vol. 26(6), pages 1172-1183, November.
    16. Rudkin, Simon & Wong, Sen Min, 2015. "South East Asian Financial Linkages and the Changing Role of China: Insights from a Global VAR," MPRA Paper 65001, University Library of Munich, Germany.
    17. Martin Feldkircher & Florian Huber & Gary Koop & Michael Pfarrhofer, 2022. "APPROXIMATE BAYESIAN INFERENCE AND FORECASTING IN HUGE‐DIMENSIONAL MULTICOUNTRY VARs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1625-1658, November.
    18. Dimitrios D. Thomakos & Fotis Papailias, 2013. "Covariance Averaging for Improved Estimation and Portfolio Allocation," Working Paper series 66_13, Rimini Centre for Economic Analysis.
    19. Artha Hoxha, 2018. "Explaining the impact of the global financial crisis on European transition countries: a GVAR approach," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q2-18, pages 81-97.
    20. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    21. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
    22. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci & TengTeng Xu, 2012. "China’s Emergence in the World Economy and Business Cycles in Latin America," Staff Working Papers 12-32, Bank of Canada.
    23. Aromí, J. Daniel, 2019. "Medium term growth forecasts: Experts vs. simple models," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1085-1099.
    24. Huayi Yu, 2015. "The spillovers and heterogeneous responses of housing prices: a GVAR analysis of China's 35 major cities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 535-558, October.
    25. Corsi, Fulvio & Lillo, Fabrizio & Pirino, Davide & Trapin, Luca, 2018. "Measuring the propagation of financial distress with Granger-causality tail risk networks," Journal of Financial Stability, Elsevier, vol. 38(C), pages 18-36.
    26. Matthew Greenwood-Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2012. "International Linkages of the Korean Economy: The Global Vector Error-Correcting Macroeconometric Modelling Approach," Melbourne Institute Working Paper Series wp2012n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    27. Neil R. Ericsson & Erica L. Reisman, 2012. "Evaluating a Global Vector Autoregression for Forecasting," Working Papers 2012-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    28. Dées, Stéphane & Pesaran, Hashem & Smith, Vanessa & Smith, Ron P., 2010. "Supply, demand and monetary policy shocks in a multi-country New Keynesian Model," Working Paper Series 1239, European Central Bank.
    29. Bengt Assarsson & Pär Österholm, 2015. "Do Swedish Consumer Confidence Indicators Do What They Are Intended to Do?," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 61(4), pages 391-404.
    30. Sona Benecka & Ludmila Fadejeva & Martin Feldkircher, 2018. "Spillovers from Euro Area Monetary Policy: A Focus on Emerging Europe," Working Papers 2018/2, Czech National Bank.
    31. Dovern, Jonas & Huber, Florian, 2015. "Global Prediction of Recessions," Working Papers 0585, University of Heidelberg, Department of Economics.
    32. Hjalmarsson, Erik & Österholm, Pär, 2017. "Households’ Mortgage-Rate Expectations: More Realistic than at First Glance?," Working Papers 2017:9, Örebro University, School of Business.
    33. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2012. "What drives oil prices? Emerging versus developed economies," Working Paper 2012/11, Norges Bank.
    34. Schnücker, A.M., 2019. "Penalized Estimation of Panel Vector Autoregressive Models," Econometric Institute Research Papers EI-2019-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    35. Massimo Guidolin & Stuart Hyde & David McMillan & Sadayuki Ono, 2010. "Does the macroeconomy predict U.K. asset returns in a nonlinear fashion? comprehensive out-of-sample evidence," Working Papers 2010-039, Federal Reserve Bank of St. Louis.
    36. J. Wesley Burnett & Xueting Zhao, 2014. "Forecasting U.S. State-Level Carbon Dioxide Emissions," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 223-240, Winter.
    37. Dai, Hongyan & Xiao, Qin & Chen, Songlin & Zhou, Weihua, 2023. "Data-driven demand forecast for O2O operations: An adaptive hierarchical incremental approach," International Journal of Production Economics, Elsevier, vol. 259(C).
    38. Periklis Gogas & Theophilos Papadimitriou & Elvira Takli, 2013. "Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach," Economics Bulletin, AccessEcon, vol. 33(2), pages 1101-1115.
    39. Konstantinos Chisiridis & Kostas Mouratidis & Theodore Panagiotidis, 2020. "The North-South Divide, the Euro and the Worlds," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 147, Hellenic Observatory, LSE.
    40. Camehl, Annika & von Schweinitz, Gregor, 2023. "What explains international interest rate co-movement?," IWH Discussion Papers 3/2023, Halle Institute for Economic Research (IWH), revised 2023.
    41. Billstam, Maria & Frändén, Kristina & Samuelsson, Johan & Österholm, Pär, 2016. "Quasi-Real-Time Data of the Economic Tendency Survey," Working Papers 143, National Institute of Economic Research.
    42. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    43. Siti Muliana Samsi & Zarinah Yusof & Kee-Cheok Cheong, 2012. "Linkages Between the Real Sector and the Financial Sector: The Case of Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 8(Supp. 1), pages 93-113.
    44. M. Ege Yazgan & Serda Selin Ozturk, 2019. "Real Exchange Rates and the Balance of Trade: Does the J-curve Effect Really Hold?," Open Economies Review, Springer, vol. 30(2), pages 343-373, April.
    45. Florian Huber & Jesus Crespo-Cuaresma & Martin Feldkircher, 2014. "Forecasting with Bayesian Global Vector Autoregressions," ERSA conference papers ersa14p25, European Regional Science Association.
    46. George N. Apostolakis & Nikolaos Giannellis & Athanasios P. Papadopoulos, 2023. "Macro‐financial effects of monetary policy easing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 715-738, April.
    47. L. Vanessa Smith & Nori Tarui & Takashi Yamagata, 2020. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," ISER Discussion Paper 1093, Institute of Social and Economic Research, Osaka University.
    48. Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers 16994, C.E.P.R. Discussion Papers.
    49. Davide De Gaetano, 2018. "Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets," Mathematics, MDPI, vol. 6(3), pages 1-19, March.
    50. Duo Qin & Xinhua He, 2011. "Is the Chinese Currency Substantially Misaligned to Warrant Further Appreciation?," The World Economy, Wiley Blackwell, vol. 34(8), pages 1288-1307, August.
    51. Deockhyun Ryu & Cheolbeom Park, 2011. "Issues With A Chained-Type Price Index: An Analysis With The Producer Price Index," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 36(3), pages 47-78, September.
    52. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    53. M. Hashem Pesaran & Andreas Pick, 2008. "Forecasting Random Walks Under Drift Instability," CESifo Working Paper Series 2293, CESifo.
    54. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    55. Matkovskyy, Roman, 2012. "Прогнозування Реакції Економіки України На Економічні Шоки В Сусідніх Державах: Глобальна Векторна Авторегресійна Модель «Україна-Сусіди» [Forecasting the Responses of Ukraine to Economic Shocks in," MPRA Paper 44717, University Library of Munich, Germany, revised Nov 2012.
    56. Tore Dubbert, 2022. "Stochastic debt sustainability analysis using time-varying fiscal reaction functions. An agnostic approach to fiscal forecasting," CQE Working Papers 10422, Center for Quantitative Economics (CQE), University of Muenster.
    57. Aristidou, Chrystalleni & Lee, Kevin & Shields, Kalvinder, 2022. "Fundamentals, regimes and exchange rate forecasts: Insights from a meta exchange rate model," Journal of International Money and Finance, Elsevier, vol. 123(C).
    58. Pesaran, M. Hashem & Pick, Andreas & Pranovich, Mikhail, 2013. "Optimal forecasts in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 134-152.
    59. Anthony Garratt & Kevin Lee & Kalvinder Shields, 2014. "Forecasting Global Recessions in a GVAR Model of Actual and Expected Output in the G7," Discussion Papers 2014/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    60. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    61. Fadejeva, Ludmila & Feldkircher, Martin & Reininger, Thomas, 2017. "International spillovers from Euro area and US credit and demand shocks: A focus on emerging Europe," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 1-25.
    62. Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2013. "Forecasting by factors, by variables, by both or neither?," Journal of Econometrics, Elsevier, vol. 177(2), pages 305-319.
    63. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    64. Davide De Gaetano, 2017. "Forecasting With Garch Models Under Structural Breaks: An Approach Based On Combinations Across Estimation Windows," Departmental Working Papers of Economics - University 'Roma Tre' 0219, Department of Economics - University Roma Tre.
    65. Kerstin Bernoth & Andreas Pick, 2009. "Forecasting the Fragility of the Banking and Insurance Sector," Discussion Papers of DIW Berlin 882, DIW Berlin, German Institute for Economic Research.
    66. Lukman Oyeyinka Oyelami & P.A. Olomola, 2016. "External shocks and macroeconomic responses in Nigeria: A global VAR approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1239317-123, December.
    67. Auer, Simone, 2019. "Monetary policy shocks and foreign investment income: Evidence from a large Bayesian VAR," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 142-166.
    68. Prasad S Bhattacharya & Dimitrios D Thomakos, 2011. "Improving forecasting performance by window and model averaging," CAMA Working Papers 2011-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    69. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
    70. Tomáš Slacík & Katharina Steiner & Julia Wörz, 2014. "Can Trade Partners Help Better FORCEE the Future? Impact of Trade Linkages on Economic Growth Forecasts in Selected CESEE Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 36-56.
    71. Moosa, Imad A. & Vaz, John J., 2016. "Cointegration, error correction and exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 21-34.
    72. Annari de Waal & Renee van Eyden, 2012. "Monetary policy and inflation in South Africa: A VECM augmented with foreign variables," Working Papers 201231, University of Pretoria, Department of Economics.
    73. Alizadeh Janvisloo , Mohammad Reza & Sherafatian-Jahromi , Reza, 2019. "Macroeconomic, International Linkage and Effects of External Shocks in Southeast Asian Emerging Economies," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(2), pages 205-230, April.
    74. Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
    75. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
    76. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Optimal Forecast under Structural Breaks," Working Papers 202208, University of California at Riverside, Department of Economics.
    77. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    78. Beechey, Meredith & Österholm, Pär, 2018. "Point versus Band Targets for Inflation," Working Papers 2018:8, Örebro University, School of Business.
    79. Angela Capolongo & Claudia Pacella, 2019. "Forecasting inflation in the euro area: countries matter!," Temi di discussione (Economic working papers) 1224, Bank of Italy, Economic Research and International Relations Area.
    80. Huang, Tao & Fildes, Robert & Soopramanien, Didier, 2019. "Forecasting retailer product sales in the presence of structural change," European Journal of Operational Research, Elsevier, vol. 279(2), pages 459-470.
    81. Mahdi Barakchian, S., 2015. "Transmission of US monetary policy into the Canadian economy: A structural cointegration analysis," Economic Modelling, Elsevier, vol. 46(C), pages 11-26.
    82. Stephane Dees & Arthur Saint-Guilhem, 2011. "The role of the United States in the global economy and its evolution over time," Empirical Economics, Springer, vol. 41(3), pages 573-591, December.
    83. Adriana Camacho & Alejandro Gaviria & Catherine Rodríguez, 2016. "Drug Consumption in Colombia," Documentos CEDE 15238, Universidad de los Andes, Facultad de Economía, CEDE.
    84. Mr. Dale F Gray, 2013. "Modeling Banking, Sovereign, and Macro Risk in a CCA Global VAR," IMF Working Papers 2013/218, International Monetary Fund.
    85. Graziano Moramarco, 2022. "Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers," Econometrics, MDPI, vol. 11(1), pages 1-29, December.
    86. Mr. Jorge I Canales Kriljenko & Mehdi Hosseinkouchack & Alexis Meyer-Cirkel, 2014. "Global Financial Transmission into Sub-Saharan Africa – A Global Vector Autoregression Analysis," IMF Working Papers 2014/241, International Monetary Fund.
    87. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.
    88. Annari de Waal & Renee van Eyden & Rangan Gupta, 2013. "Do we need a global VAR model to forecast inflation and output in South Africa?," Working Papers 201346, University of Pretoria, Department of Economics.
    89. Bo Jiang & Bruce Philp & Zhongmin Wu, 2018. "Macro stress testing in the banking system of China," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(4), pages 287-298, November.
    90. Ludmila Fadejeva & Martin Feldkircher & Thomas Reininger, 2014. "International Transmission of Credit Shocks: Evidence from Global Vector Autoregression Model," Working Papers 2014/05, Latvijas Banka.
    91. Razieh Zahedi & Asghar Shahmoradi & Ali Taiebnia, 2022. "The ever-evolving trade pattern: a global VAR approach," Empirical Economics, Springer, vol. 63(3), pages 1193-1218, September.
    92. Mr. Mauricio Vargas & Daniela Hess, 2019. "The Caribbean and its Linkages with the World: A GVAR Model Approach," IMF Working Papers 2019/256, International Monetary Fund.
    93. Shakirudeen Taiwo & Josine Uwilingiye, 2023. "New evidence on sources of macroeconomic fluctuations in sub‐Saharan African countries," African Development Review, African Development Bank, vol. 35(2), pages 181-197, June.
    94. Philippe Goulet Coulombe & Maximilian Gobel, 2021. "Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis," Working Papers 21-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    95. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.
    96. Bertrand Gruss, 2014. "After the Boom–Commodity Prices and Economic Growth in Latin America and the Caribbean," IMF Working Papers 2014/154, International Monetary Fund.
    97. Filipa Sá & Tomasz Wieladek, 2015. "Capital Inflows and the U.S. Housing Boom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 221-256, March.
    98. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    99. Logan Rangasamy, 2014. "Capital Flows: The South African Experience," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 551-566, December.
    100. Lance Kent, 2014. "Bilateral Linkages and the International Transmission of Business Cycles," Working Papers 149, Department of Economics, College of William and Mary.
    101. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2014. "Forecasting with Bayesian Global Vector Autoregressive Models: A Comparison of Priors," Working Papers 189, Oesterreichische Nationalbank (Austrian Central Bank).
    102. Mohsen Khezri & Muhamed Zulkhibri & Reza Ghazal, 2019. "Regional Integration, Monetary Cooperation: Evidence from Global VAR Models for the Member States of the Shanghai Cooperation Organization," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 11(1-2), pages 65-79, January.
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  10. Adam B. Ashcraft & Til Schuermann, 2008. "Understanding the securitization of subprime mortgage credit," Staff Reports 318, Federal Reserve Bank of New York.

    Cited by:

    1. Botzem, Sebastian & Dobusch, Leonhard, 2017. "Financialization as strategy: Accounting for inter-organizational value creation in the European real estate industry," Accounting, Organizations and Society, Elsevier, vol. 59(C), pages 31-43.
    2. Rajdeep Sengupta & Geetesh Bhardwaj, 2015. "Credit Scoring and Loan Default," International Review of Finance, International Review of Finance Ltd., vol. 15(2), pages 139-167, June.
    3. Bernd Rudolph, 2010. "Die internationale Finanzkrise als Anstoß für Weiterentwicklungen im Risikocontrolling der Banken und für Reformen in der Bankregulierung," Schmalenbach Journal of Business Research, Springer, vol. 62(61), pages 122-149, January.
    4. Luci Ellis, 2008. "How many in negative equity? The role of mortgage contract characteristics," BIS Quarterly Review, Bank for International Settlements, December.
    5. Gwinner, William B. & Sanders, Anthony, 2008. "The sub prime crisis : implications for emerging markets," Policy Research Working Paper Series 4726, The World Bank.
    6. Blackburn, McKinley L. & Vermilyea, Todd, 2012. "The prevalence and impact of misstated incomes on mortgage loan applications," Journal of Housing Economics, Elsevier, vol. 21(2), pages 151-168.
    7. Scholz, Julia, 2009. "Collateralized Debt Obligations: Anreizprobleme im Rahmen des Managements von CDOs," Discussion Papers in Business Administration 11002, University of Munich, Munich School of Management.
    8. Jenny Gu & Rodrigo J. Hernandez & Pu Liu & Yingying Shao, 2017. "Mortgage loan securitization and personal consumption smoothening," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(1), pages 100-115, January.
    9. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2013. "The Effects of the Saving and Banking Glut on the U.S. Economy," NBER Chapters, in: NBER International Seminar on Macroeconomics 2013, pages 52-67, National Bureau of Economic Research, Inc.
    10. Nadauld, Taylor D. & Sherlund, Shane M., 2009. "The Role of the Securitization Process in the Expansion of Subprime Credit," Working Paper Series 2009-9, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    11. René M. Stulz, 2009. "Credit Default Swaps and the Credit Crisis," NBER Working Papers 15384, National Bureau of Economic Research, Inc.
    12. Patrick Bolton & Xavier Freixas & Joel Shapiro, 2009. "The credit ratings game," Economics Working Papers 1149, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Alex Citanna & Paolo Siconolfi, 2022. "An incentive efficient market for mechanisms in large Akerlof economies," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(1), pages 1-54, February.
    14. Benmelech, Efraim & Dlugosz, Jennifer, 2009. "The alchemy of CDO credit ratings," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 617-634, July.
    15. Pagès, Henri, 2013. "Bank monitoring incentives and optimal ABS," Journal of Financial Intermediation, Elsevier, vol. 22(1), pages 30-54.
    16. Mitchell, Janet & Fender, Ingo, 2009. "Incentives and Tranche Retention in Securitisation: A Screening Model," CEPR Discussion Papers 7483, C.E.P.R. Discussion Papers.
    17. Geetesh Bhardwaj & Rajdeep Sengupta, 2011. "Credit scoring and loan default," Working Papers 2011-040, Federal Reserve Bank of St. Louis.
    18. Patir, Assaf, 2017. "Securitization, bank vigilance, leverage and sudden stops," MPRA Paper 81463, University Library of Munich, Germany.
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    168. Masazumi Hattori & Kazuhiko Ohashi, 2009. "Incentives to Issue Low-Quality Securitized Products in the OTD Business Model," IMES Discussion Paper Series 09-E-26, Institute for Monetary and Economic Studies, Bank of Japan.
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    171. Philip Bond & Yaron Leitner, 2012. "Market run-ups, market freezes, inventories, and leverage," Working Papers 12-8, Federal Reserve Bank of Philadelphia.
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    1. Huang, Wenli & Zhu, Yuanhao & Li, Shi & Xu, Yueling, 2024. "Institutional investor heterogeneity and systemic financial risk: Evidence from China," Research in International Business and Finance, Elsevier, vol. 68(C).
    2. Patrick M McGuire & Kostas Tsatsaronis, 2008. "Estimating hedge fund leverage," BIS Working Papers 260, Bank for International Settlements.
    3. Franck Martin & Mai lan Nguyen, 2015. "Asymmetric dynamics in the correlations of hedge fund strategy indices: what lessons about financial contagion ?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2110-2125.
    4. Ang, Andrew & Gorovyy, Sergiy & van Inwegen, Gregory B., 2011. "Hedge fund leverage," Journal of Financial Economics, Elsevier, vol. 102(1), pages 102-126, October.
    5. Michel Aglietta & Sandra Rigot, 2008. "The regulation of hedge funds under the prism of the financial crisis," EconomiX Working Papers 2008-20, University of Paris Nanterre, EconomiX.
    6. Michel Aglietta & Sandra Rigot, 2008. "The regulation of hedge funds under the prism of the financial crisis," Working Papers hal-04140739, HAL.
    7. Hwang, Inchang & Xu, Simon & In, Francis & Kim, Tong Suk, 2017. "Systemic risk and cross-sectional hedge fund returns," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 109-130.
    8. Bengtsson, E., 2013. "Fund Management and Systemic Risk - Lessons from the Global Financial Crisis," CITYPERC Working Paper Series 2013-06, Department of International Politics, City University London.
    9. Kurt Dew, 2008. "The Definition of Bank and the Subprime Mortgage Crisis: Tying Bank Regulation to Banks’ Risk-Return Trade-offs in the 21st Century," NFI Working Papers 2007-WP-17B, Indiana State University, Scott College of Business, Networks Financial Institute.
    10. Mark D. Flood & Phillip Monin, 2016. "Form PF and Hedge Funds: Risk-measurement Precision for Option Portfolios," Working Papers 16-02, Office of Financial Research, US Department of the Treasury.
    11. Mutiara Aini & Deddy Priatmodjo Koesrindartoto, 2020. "The Determinants Of Systemic Risk: Evidence From Indonesian Commercial Banks," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(1), pages 101-120, April.
    12. Crimmel, Jeremy & Elyasiani, Elyas, 2021. "The association between financial market volatility and banking market structure," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 335-349.
    13. Lengwiler, Yvan & Maringer, Dietmar, 2011. "Autonomously Interacting Banks," Working papers 2011/07, Faculty of Business and Economics - University of Basel.
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    15. Faff, Robert W. & Parwada, Jerry T. & Tan, Eric K.M., 2019. "Did connected hedge funds benefit from bank bailouts during the financial crisis?," Journal of Banking & Finance, Elsevier, vol. 107(C), pages 1-1.
    16. Bernal, Oscar & Gnabo, Jean-Yves & Guilmin, Grégory, 2014. "Assessing the contribution of banks, insurance and other financial services to systemic risk," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 270-287.

  12. Evan Gatev & Til Schuermann & Philip E. Strahan, 2006. "Managing Bank Liquidity Risk: How Deposit-Loan Synergies Vary with Market Conditions," NBER Working Papers 12234, National Bureau of Economic Research, Inc.

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    1. He, Liang, 2019. "The seed of a crisis: Investor sentiment and bank liquidity," Finance Research Letters, Elsevier, vol. 29(C), pages 152-155.
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    4. Adam Copeland, 2019. "The Federal Funds Market over the 2007-09 Crisis," Staff Reports 901, Federal Reserve Bank of New York.
    5. Joseph Olorunfemi Akande & Farai Kwenda, 2017. "Does Competition Cause Stability in Banks? SFA and GMM Application to Sub-Saharan Africa Commercial Banks," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 173-186.
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    9. Viral V. Acharya & Heitor Almeida & Murillo Campello, 2013. "Aggregate Risk and the Choice between Cash and Lines of Credit," Journal of Finance, American Finance Association, vol. 68(5), pages 2059-2116, October.
    10. Chavaz, Matthieu & Elliott, David, 2020. "Separating retail and investment banking: evidence from the UK," Bank of England working papers 892, Bank of England, revised 18 Feb 2021.
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    95. Nikolaou, Kleopatra, 2009. "Liquidity (risk) concepts: definitions and interactions," Working Paper Series 1008, European Central Bank.
    96. Andres Almazan & Alfredo Martín-Oliver & Jesús Saurina, 2015. "Securization and banks´ capital structure," Working Papers 1506, Banco de España.
    97. Bryan Stanhouse & Duane Stock, 2016. "Credit line takedown and endogenous bank capital," Review of Quantitative Finance and Accounting, Springer, vol. 46(4), pages 691-723, May.
    98. Imbierowicz, Björn & Rauch, Christian, 2014. "The relationship between liquidity risk and credit risk in banks," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 242-256.
    99. Chen, Hsiao-Jung & Lin, Kuan-Ting, 2016. "How do banks make the trade-offs among risks? The role of corporate governance," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 39-69.
    100. Vallascas, Francesco & Keasey, Kevin, 2012. "Bank resilience to systemic shocks and the stability of banking systems: Small is beautiful," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1745-1776.
    101. Barbara Casu & Filippo Pietro & Antonio Trujillo-Ponce, 2019. "Liquidity Creation and Bank Capital," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(3), pages 307-340, December.
    102. Mohammad I. Jizi & Robert Dixon, 2017. "Are Risk Management Disclosures Informative or Tautological? Evidence from the U.S. Banking Sector," Accounting Perspectives, John Wiley & Sons, vol. 16(1), pages 7-30, March.
    103. Tripathy, Niranjan & Wu, Da & Zheng, Yi, 2021. "Dividends and financial health: Evidence from U.S. bank holding companies," Journal of Corporate Finance, Elsevier, vol. 66(C).

  13. Til Schuermann & Kevin J. Stiroh, 2006. "Visible and hidden risk factors for banks," Staff Reports 252, Federal Reserve Bank of New York.

    Cited by:

    1. Urbański, Stanisław & Zarzecki, Dariusz, 2022. "The Fama-French model for estimating the cost of equity capital: The impact of real options of investment projects," Economic Systems, Elsevier, vol. 46(1).
    2. Baek, Seungho & Bilson, John F.O., 2015. "Size and value risk in financial firms," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 295-326.
    3. Zedginidze Zviad, 2012. "Linking Macroeconomic Dynamics to Georgian Credit Portfolio Risk," EERC Working Paper Series 12/07e, EERC Research Network, Russia and CIS.
    4. Tobias Adrian & Evan Friedman & Tyler Muir, 2015. "The cost of capital of the financial sector," Staff Reports 755, Federal Reserve Bank of New York.
    5. Jiménez, Gabriel & Mencía, Javier, 2009. "Modelling the distribution of credit losses with observable and latent factors," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 235-253, March.
    6. Baele, L.T.M. & De Bruyckere, Valerie & De Jonghe, O.G. & Vander Vennet, Rudi, 2015. "Model uncertainty and systematic risk in US banking," Other publications TiSEM 64ca79ee-d480-4d66-a8b6-a, Tilburg University, School of Economics and Management.
    7. Venmans, Frank, 2021. "The leverage anomaly in U.S. bank stock returns," LSE Research Online Documents on Economics 111907, London School of Economics and Political Science, LSE Library.
    8. Mun, Kyung-Chun, 2016. "Hedging bank market risk with futures and forwards," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 112-125.
    9. Jean-Loup, Soula, 2017. "Measuring heterogeneity in bank liquidity risk: Who are the winners and losers?," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 302-313.
    10. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2018. "The cross-section of expected stock returns in the property/liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 292-321.
    11. Akhtaruzzaman, Md & Chiah, Mardy & Docherty, Paul & Zhong, Angel, 2021. "Betting against bank profitability," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 304-323.
    12. Joel F. Houston & Kevin J. Stiroh, 2006. "Three decades of financial sector risk," Staff Reports 248, Federal Reserve Bank of New York.
    13. Kevin Stiroh, 2006. "New Evidence on the Determinants of Bank Risk," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(3), pages 237-263, December.
    14. Friesen, Geoffrey C. & Swift, Christopher, 2009. "Overreaction in the thrift IPO aftermarket," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1285-1298, July.
    15. Altavilla, Carlo & Bochmann, Paul & De Ryck, Jeroen & Dumitru, Ana-Maria & Grodzicki, Maciej & Kick, Heinrich & Fernandes, Cecilia Melo & Mosthaf, Jonas & O’Donnell, Charles & Palligkinis, Spyros, 2021. "Measuring the cost of equity of euro area banks," Occasional Paper Series 254, European Central Bank.
    16. Foos, Daniel & Lütkebohmert, Eva & Markovych, Mariia & Pliszka, Kamil, 2017. "Euro area banks' interest rate risk exposure to level, slope and curvature swings in the yield curve," Discussion Papers 24/2017, Deutsche Bundesbank.
    17. Tim M. Zhou, 2023. "Auctions of failed banks: an analysis of losing bidders," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 155-176, July.
    18. Riccardo Lisa & Stefano Zedda & Francesco Vallascas & Francesca Campolongo & Massimo Marchesi, 2011. "Modelling Deposit Insurance Scheme Losses in a Basel 2 Framework," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(3), pages 123-141, December.
    19. Thorsten Beck & Olivier De Jonghe & Klaas Mulier, 2022. "Bank Sectoral Concentration and Risk: Evidence from a Worldwide Sample of Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1705-1739, September.
    20. Vander Vennet Rudi & De Jonghe Olivier & De Bruyckere Valerie & Baele Lieven, 2011. "Enhancing Bank Transparency: Risk Ineffciency as a Market Disciplining Mechanism," 2011 Meeting Papers 559, Society for Economic Dynamics.
    21. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam, 2019. "An empirical examination of the jump and diffusion aspects of asset pricing: Japanese evidence," Working Papers 2019-02, University of Tasmania, Tasmanian School of Business and Economics.

  14. M. Hashem Pesaran & Til Schuermann & Björn-Jakob Treutler, 2005. "Global Business Cycles and Credit Risk," CESifo Working Paper Series 1548, CESifo.

    Cited by:

    1. Breuer, Thomas & Jandacka, Martin & Rheinberger, Klaus & Summer, Martin, 2010. "Does adding up of economic capital for market- and credit risk amount to conservative risk assessment?," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 703-712, April.
    2. Jakšić Saša, 2022. "Modelling Determinants of Inflation in CESEE Countries: Global Vector Autoregressive Approach," Review of Economic Perspectives, Sciendo, vol. 22(2), pages 137-169, June.
    3. Matthieu Bussiere & Alexander Chudik & Giulia Sestieri, 2012. "Modelling global trade flows: results from a GVAR model," Globalization Institute Working Papers 119, Federal Reserve Bank of Dallas.
    4. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and practice of GVAR modeling," Globalization Institute Working Papers 180, Federal Reserve Bank of Dallas.
    5. Zinna, Gabriele, 2014. "Identifying risks in emerging market sovereign and corporate bond spreads," Emerging Markets Review, Elsevier, vol. 20(C), pages 1-22.
    6. Chudik , A. & Pesaran, M.H., 2007. "Infinite Dimensional VARs and Factor Models," Cambridge Working Papers in Economics 0757, Faculty of Economics, University of Cambridge.
    7. Thomas Breuer & Martin Jandacka & Klaus Rheinberger & Martin Summer, 2009. "How to find plausible, severe, and useful stress scenarios," Working Papers 150, Oesterreichische Nationalbank (Austrian Central Bank).
    8. Konrad, Kai A. & Skaperdas, Stergios, 1999. "The Market for Protection and the Origin of the State," CEPR Discussion Papers 2173, C.E.P.R. Discussion Papers.
    9. Fratzscher, Marcel & Chudik, Alexander, 2012. "Liquidity, Risk and the Global Transmission of the 2007-08 Financial Crisis and the 2010-11 Sovereign Debt Crisis," CEPR Discussion Papers 8787, C.E.P.R. Discussion Papers.
    10. Olkhov, Victor, 2018. "The Business Cycle Model Beyond General Equilibrium," MPRA Paper 87204, University Library of Munich, Germany.
    11. Olkhov, Victor, 2018. "Economic and Financial Transactions Govern Business Cycles," MPRA Paper 93269, University Library of Munich, Germany.
    12. Victor Olkhov, 2018. "Econophysics Beyond General Equilibrium: the Business Cycle Model," Papers 1804.04721, arXiv.org.
    13. Fratzscher, Marcel & Chudik, Alexander, 2012. "Liquidity, risk and the global transmission of the 2007-08 financial crisis and the 2010-2011 sovereign debt crisis," Working Paper Series 1416, European Central Bank.
    14. Carling, Kenneth & Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2007. "Corporate credit risk modeling and the macroeconomy," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 845-868, March.
    15. Olkhov, Victor, 2020. "Business Cycles as Collective Risk Fluctuations," MPRA Paper 104598, University Library of Munich, Germany.
    16. Olkhov, Victor, 2018. "Economic Transactions Govern Business Cycles," MPRA Paper 88531, University Library of Munich, Germany, revised 19 Aug 2018.
    17. Annari de Waal & Renee van Eyden, 2013. "The impact of economic shocks in the rest of the world on South Africa: Evidence from a global VAR," Working Papers 201328, University of Pretoria, Department of Economics.
    18. Chudik, Alexander & Fratzscher, Marcel, 2011. "Identifying the global transmission of the 2007-2009 financial crisis in a GVAR model," European Economic Review, Elsevier, vol. 55(3), pages 325-339, April.
    19. M. Hashem Pesaran & Ron P. Smith, 2006. "Macroeconometric Modelling with a Global Perspective," CESifo Working Paper Series 1659, CESifo.
    20. Fratzscher, Marcel & Chudik, Alexander, 2011. "Identifying the global transmission of the 2007-09 financial crisis in a GVAR Model," Working Paper Series 1285, European Central Bank.
    21. Alexander Chudik & Marcel Fratzscher, 2012. "Liquidity, risk and the global transmission of the 2007–08 financial crisis and the 2010–11 sovereign debt crisis title," Globalization Institute Working Papers 107, Federal Reserve Bank of Dallas.
    22. Breuer, Thomas & Jandacka, Martin & Rheinberger, Klaus & Summer, Martin, 2008. "Regulatory capital for market and credit risk interaction: is current regulation always conservative?," Discussion Paper Series 2: Banking and Financial Studies 2008,14, Deutsche Bundesbank.
    23. Mr. Renzo G Avesani & Ms. Jing Li & Antonio I Garcia Pascual, 2006. "A New Risk Indicator and Stress Testing Tool: A Multifactor Nth-to-Default CDS Basket," IMF Working Papers 2006/105, International Monetary Fund.
    24. Bussière, Matthieu & Ca' Zorzi, Michele & Chudik, Alexander & Dieppe, Alistair, 2010. "Methodological advances in the assessment of equilibrium exchange rates," Working Paper Series 1151, European Central Bank.

  15. Pesaran, M.H. & Schuermann, T. & Treutler, B-J., 2005. "The Role of Industry, Geography and Firm Heterogeneity in Credit Risk Diversification," Cambridge Working Papers in Economics 0529, Faculty of Economics, University of Cambridge.

    Cited by:

    1. George Kapetanios & M. Hashem Pesaran, 2005. "Alternative Approaches to Estimation and Inference in Large Multifactor Panels: Small Sample Results with an Application to Modelling of Asset Returns," Working Papers 536, Queen Mary University of London, School of Economics and Finance.
    2. Klomp, Jeroen, 2013. "Government interventions and default risk: Does one size fit all?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 641-653.
    3. Laura Serra & Claudio Detotto & Pablo Juan & Marco Vannini, 2022. "Intersectoral and spatial spill-overs of firms’ bankruptcy in Spain," Letters in Spatial and Resource Sciences, Springer, vol. 15(2), pages 197-211, August.
    4. Masschelein, Nancy & Düllmann, Klaus, 2006. "Sector concentration in loan portfolios and economic capital," Discussion Paper Series 2: Banking and Financial Studies 2006,09, Deutsche Bundesbank.
    5. Klaus Düllmann & Nancy Masschelein, 2006. "Sector Concentration in Loan Portfolios and Economic Capital," Working Paper Research 105, National Bank of Belgium.

  16. Samuel Hanson & M. Hashem Pesaran & Til Schuermann, 2005. "Firm Heterogeneity and Credit Risk Diversification," CESifo Working Paper Series 1531, CESifo.

    Cited by:

    1. Saldías, Martín, 2013. "A market-based approach to sector risk determinants and transmission in the euro area," Working Paper Series 1574, European Central Bank.
    2. Dariusz Gatarek & Juliusz Jabłecki, 2014. "Estimating the risk of joint defaults: an application to central bank collateralized lending operations," NBP Working Papers 181, Narodowy Bank Polski.
    3. Juliusz Jabłecki, 2017. "Rise And Fall Of Synthetic Cdo Market: Lessons Learned," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-28, December.
    4. Klaus Düllmann & Thomas Kick, 2014. "Stress testing German banks against a global credit crunch," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(4), pages 337-361, November.
    5. Sharma, Susan Sunila & Narayan, Paresh Kumar, 2014. "New evidence on turn-of-the-month effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 92-108.
    6. Hartmann, Philipp & Fecht, Falko & Grüner, Hans Peter, 2012. "Financial Integration, Specialization, and Systemic Risk," CEPR Discussion Papers 8854, C.E.P.R. Discussion Papers.
    7. George Kapetanios & M. Hashem Pesaran, 2005. "Alternative Approaches to Estimation and Inference in Large Multifactor Panels: Small Sample Results with an Application to Modelling of Asset Returns," Working Papers 536, Queen Mary University of London, School of Economics and Finance.
    8. Rösch, Daniel & Scheule, Harald, 2012. "Capital incentives and adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 733-748.
    9. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters, in: The Risks of Financial Institutions, pages 419-469, National Bureau of Economic Research, Inc.
    10. Konrad, Kai A. & Skaperdas, Stergios, 1999. "The Market for Protection and the Origin of the State," CEPR Discussion Papers 2173, C.E.P.R. Discussion Papers.
    11. Andrea Cipollini & Giuseppe Missaglia, 2007. "Dynamic Factor analysis of industry sector default rates and implication for Portfolio Credit Risk Modelling," Center for Economic Research (RECent) 007, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    12. David K. Musto & Nicholas S. Souleles, 2005. "A portfolio view of consumer credit," Working Papers 05-25, Federal Reserve Bank of Philadelphia.
    13. Klomp, Jeroen, 2013. "Government interventions and default risk: Does one size fit all?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 641-653.
    14. Jiang, Hai & Zhang, Jinyi & Sun, Chen, 2020. "How does capital buffer affect bank risk-taking? New evidence from China using quantile regression," China Economic Review, Elsevier, vol. 60(C).
    15. Narayan, Paresh Kumar & Narayan, Seema & Popp, Stephan & D'Rosario, Michael, 2011. "Share price clustering in Mexico," International Review of Financial Analysis, Elsevier, vol. 20(2), pages 113-119, April.
    16. Andrea Cipollini & Giuseppe Missaglia, 2008. "Measuring bank capital requirements through Dynamic Factor analysis," Center for Economic Research (RECent) 010, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    17. Laura Serra & Claudio Detotto & Pablo Juan & Marco Vannini, 2022. "Intersectoral and spatial spill-overs of firms’ bankruptcy in Spain," Letters in Spatial and Resource Sciences, Springer, vol. 15(2), pages 197-211, August.
    18. Masschelein, Nancy & Düllmann, Klaus, 2006. "Sector concentration in loan portfolios and economic capital," Discussion Paper Series 2: Banking and Financial Studies 2006,09, Deutsche Bundesbank.
    19. Klaus Düllmann & Nancy Masschelein, 2007. "A Tractable Model to Measure Sector Concentration Risk in Credit Portfolios," Journal of Financial Services Research, Springer;Western Finance Association, vol. 32(1), pages 55-79, October.
    20. Lore Dirick & Gerda Claeskens & Andrey Vasnev & Bart Baesens, 2020. "A hierarchical mixture cure model with unobserved heterogeneity for credit risk," Working Papers of Department of Decision Sciences and Information Management, Leuven 665250, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    21. Tang, Dragon Yongjun & Yan, Hong, 2008. "Market conditions, default risk and credit spreads," Discussion Paper Series 2: Banking and Financial Studies 2008,08, Deutsche Bundesbank.
    22. Til Schuermann, 2020. "Capital Adequacy Pre‐ and Postcrisis and the Role of Stress Testing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 87-105, October.
    23. Riccardo Lisa & Stefano Zedda & Francesco Vallascas & Francesca Campolongo & Massimo Marchesi, 2011. "Modelling Deposit Insurance Scheme Losses in a Basel 2 Framework," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(3), pages 123-141, December.
    24. Duellmann, Klaus & Kick, Thomas, 2012. "Stress testing German banks against a global cost-of-capital shock," Discussion Papers 04/2012, Deutsche Bundesbank.
    25. Stanislav Anatolyev, 2012. "Instrumental variables estimation and inference in the presence of many exogenous regressors," Working Papers w0162, Center for Economic and Financial Research (CEFIR).
    26. Klomp, Jeroen & Haan, Jakob de, 2012. "Banking risk and regulation: Does one size fit all?," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3197-3212.
    27. Nikola Tarashev & Haibin Zhu, 2008. "Specification and Calibration Errors in Measures of Portfolio Credit Risk: The Case of the ASRF Model," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 129-173, June.
    28. Nikola A. Tarashev & Haibin Zhu, 2007. "Modelling and calibration errors in measures of portfolio credit risk," BIS Working Papers 230, Bank for International Settlements.
    29. Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2010. "Stress-testing euro area corporate default probabilities using a global macroeconomic model," Journal of Financial Stability, Elsevier, vol. 6(2), pages 64-78, June.
    30. Muhammad Saqib Bashir Butt & Hasniza Mohd Taib, 2019. "Economic Forces and Firm Stock Returns Volatility: Role of Firm Features," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 7(3), pages :281-302, September.
    31. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.

  17. Hanson, S. & Pesaran, M.H. & Schuermann, T., 2005. "Scope for Credit Risk Diversification," Cambridge Working Papers in Economics 0519, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Klaus Duellmann & Martin Erdelmeier, 2009. "Crash Testing German Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 139-175, September.

  18. Samuel Hanson & Til Schuermann, 2004. "Estimating probabilities of default," Staff Reports 190, Federal Reserve Bank of New York.

    Cited by:

    1. Katja Pluto & Dirk Tasche, 2006. "Estimating Probabilities of Default for Low Default Portfolios," Springer Books, in: Bernd Engelmann & Robert Rauhmeier (ed.), The Basel II Risk Parameters, chapter 0, pages 79-103, Springer.
    2. Mr. Jorge A Chan-Lau, 2006. "Fundamentals-Based Estimation of Default Probabilities - A Survey," IMF Working Papers 2006/149, International Monetary Fund.
    3. Anand, Kartik & Gai, Prasanna & Kapadia, Sujit & Brennan, Simon & Willison, Matthew, 2011. "A network model of financial system resilience," SFB 649 Discussion Papers 2011-051, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Rungporn Roengpitya & Pratabjai Nilla-or, 2012. "Challenges on the Validation of PD Models for Low Default Portfolios (LDPs) and Regulatory Policy Implications," Working Papers 2012-02, Monetary Policy Group, Bank of Thailand.
    5. Rungporn Roengpitya, 2012. "Proposal of New Hybrid PD Estimation Models for the Low Default Portfolios (LDPs), Empirical Comparisons and Policy Implications," Working Papers 2012-03, Monetary Policy Group, Bank of Thailand.
    6. Jankowitsch, Rainer & Nagler, Florian & Subrahmanyam, Marti G., 2014. "The determinants of recovery rates in the US corporate bond market," Journal of Financial Economics, Elsevier, vol. 114(1), pages 155-177.
    7. Salnikov, V. & Mogilat, A. & Maslov, I., 2012. "Stress Testing for Russian Real Sector: First Approach," Journal of the New Economic Association, New Economic Association, vol. 16(4), pages 46-70.

  19. Joshua V. Rosenberg & Til Schuermann, 2004. "A general approach to integrated risk management with skewed, fat-tailed risks," Staff Reports 185, Federal Reserve Bank of New York.

    Cited by:

    1. Fernandez, Viviana, 2008. "Copula-based measures of dependence structure in assets returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3615-3628.
    2. Hemei Li & Zhenya Liu & Shixuan Wang, 2022. "Vines climbing higher: Risk management for commodity futures markets using a regular vine copula approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2438-2457, April.
    3. Chernobai, Anna & Yildirim, Yildiray, 2008. "The dynamics of operational loss clustering," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2655-2666, December.
    4. Scheicher, Martin & Raunig, Burkhard, 2008. "A value at risk analysis of credit default swaps," Discussion Paper Series 2: Banking and Financial Studies 2008,12, Deutsche Bundesbank.
    5. Božović, Miloš & Ivanović, Jelena, 2017. "Adverse risk interaction: An integrated approach," Economic Modelling, Elsevier, vol. 65(C), pages 67-74.
    6. Breuer, Thomas & Jandacka, Martin & Rheinberger, Klaus & Summer, Martin, 2010. "Does adding up of economic capital for market- and credit risk amount to conservative risk assessment?," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 703-712, April.
    7. Jianping Li & Lu Wei & Cheng-Few Lee & Xiaoqian Zhu & Dengsheng Wu, 2018. "Financial statements based bank risk aggregation," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 673-694, April.
    8. L. Ingber, 2009. "Statistical mechanics of neocortical interactions: Portfolio of physiological indicators," Lester Ingber Papers 09pp, Lester Ingber.
    9. Adhikari, Ramesh & Putnam, Kyle J., 2020. "Comovement in the commodity futures markets: An analysis of the energy, grains, and livestock sectors," Journal of Commodity Markets, Elsevier, vol. 18(C).
    10. Jianping Li & Xiaoqian Zhu & Cheng-Few Lee & Dengsheng Wu & Jichuang Feng & Yong Shi, 2015. "On the aggregation of credit, market and operational risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 161-189, January.
    11. Desislava Chetalova & Marcel Wollschlager & Rudi Schafer, 2015. "Dependence structure of market states," Papers 1503.09004, arXiv.org, revised Jul 2015.
    12. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    13. Koziol, Philipp & Schell, Carmen & Eckhardt, Meik, 2015. "Credit risk stress testing and copulas: Is the Gaussian copula better than its reputation?," Discussion Papers 46/2015, Deutsche Bundesbank.
    14. Haarstad, Aleksander H. & Lavrutich, Maria & Strypet, Kristian & Strøm, Eivind, 2022. "Multi-commodity price risk hedging in the Atlantic salmon farming industry," Journal of Commodity Markets, Elsevier, vol. 25(C).
    15. Shim Jeungbo & Lee Seung-Hwan, 2017. "Dependency between Risks and the Insurer’s Economic Capital: A Copula-based GARCH Model," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 11(1), pages 1-29, January.
    16. Paola Palmitesta & Corrado Provasi, 2005. "Aggregation of Dependent Risks Using the Koehler–Symanowski Copula Function," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 189-205, February.
    17. Hasan, Iftekhar & Siddique, Akhtar & Sun, Xian, 2015. "Monitoring the “invisible” hand of market discipline: Capital adequacy revisited," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 475-492.
    18. Carey, Mark & Stulz, Rene M., 2005. "The Risks of Financial Institutions," Working Paper Series 2005-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    19. Xingnan Jiang, 2018. "Operational risk and its impact on North American and British banks," Applied Economics, Taylor & Francis Journals, vol. 50(8), pages 920-933, February.
    20. Kretzschmar, Gavin & McNeil, Alexander J. & Kirchner, Axel, 2010. "Integrated models of capital adequacy - Why banks are undercapitalised," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2838-2850, December.
    21. Bertram, Philip & Sibbertsen, Philipp & Stahl, Gerhard, 2011. "About the Impact of Model Risk on Capital Reserves: A Quantitative Analysis," Hannover Economic Papers (HEP) dp-469, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    22. Yu, Lining & Voit, Eberhard O., 2006. "Construction of bivariate S-distributions with copulas," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1822-1839, December.
    23. Jiménez, Gabriel & Mencía, Javier, 2009. "Modelling the distribution of credit losses with observable and latent factors," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 235-253, March.
    24. Marcel Wollschlager & Rudi Schafer, 2015. "Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returns," Papers 1506.08054, arXiv.org.
    25. Jing Ai & Patrick L. Brockett & Tianyang Wang, 2017. "Optimal Enterprise Risk Management and Decision Making With Shared and Dependent Risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1127-1169, December.
    26. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    27. Hayette Gatfaoui, 2010. "Investigating the dependence structure between credit default swap spreads and the U.S. financial market," Annals of Finance, Springer, vol. 6(4), pages 511-535, October.
    28. Francesco Paolo Natale, 2008. "Optimisation in the presence of tail-dependence and tail risk: A heuristic approach for strategic asset allocation," Journal of Asset Management, Palgrave Macmillan, vol. 8(6), pages 374-400, February.
    29. Barakat, Ahmed & Chernobai, Anna & Wahrenburg, Mark, 2014. "Information asymmetry around operational risk announcements," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 152-179.
    30. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    31. Mensi, Walid & Rehman, Mobeen Ur & Hammoudeh, Shawkat & Vo, Xuan Vinh, 2021. "Spillovers between natural gas, gasoline, oil, and stock markets: Evidence from MENA countries," Resources Policy, Elsevier, vol. 71(C).
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  20. Philip E. Strahan & Evan Gatev & Til Schuermann, 2004. "How do Banks Manage Liquidity Risk? Evidence from Equity and Deposit Markets in the Fall of 1998," NBER Working Papers 10982, National Bureau of Economic Research, Inc.

    Cited by:

    1. Adam Ashcraft & Morten L. Bech & W. Scott Frame, 2010. "The Federal Home Loan Bank System: The Lender of Next‐to‐Last Resort?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 551-583, June.
    2. Gombola, Michael J. & Ho, Amy Yueh-Fang & Huang, Chin-Chuan, 2016. "The effect of leverage and liquidity on earnings and capital management: Evidence from U.S. commercial banks," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 35-58.
    3. Ramon Moreno, 2006. "The changing nature of risks facing banks," BIS Papers chapters, in: Bank for International Settlements (ed.), The banking system in emerging economies: how much progress has been made?, volume 28, pages 67-98, Bank for International Settlements.
    4. Chen, Wei-Da & Chen, Yehning & Huang, Shu-Chun, 2021. "Liquidity risk and bank performance during financial crises," Journal of Financial Stability, Elsevier, vol. 56(C).
    5. Imad Kutum & Khaled Hussainey, 2014. "Are Canadian Banks Ready for Basel III?," Accounting and Finance Research, Sciedu Press, vol. 3(3), pages 159-159, August.
    6. Ratnovski, Lev, 2013. "Liquidity and transparency in bank risk management," Journal of Financial Intermediation, Elsevier, vol. 22(3), pages 422-439.
    7. Heitor Almeida & Murillo Campello & Igor Cunha & Michael S. Weisbach, 2014. "Corporate Liquidity Management: A Conceptual Framework and Survey," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 135-162, December.
    8. Antoniades, Adonis, 2016. "Liquidity Risk and the Credit Crunch of 2007–2008: Evidence from Micro-Level Data on Mortgage Loan Applications," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(6), pages 1795-1822, December.
    9. Krüger, Ulrich & Roling, Christoph & Silbermann, Leonid & Wong, Lui Hsian, 2022. "Banks' strategic interaction, adverse price dynamics and systemic liquidity risk," Discussion Papers 06/2022, Deutsche Bundesbank.
    10. Sumera Anis & Abdul Rashid, 2017. "Optimal Bank Capital And Impact Of The Mm Theorem: A Study Of The Pakistani Financial Sector," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-21, June.
    11. Stefan Nagel, 2016. "The Liquidity Premium of Near-Money Assets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1927-1971.
    12. Antoniades, Adonis, 2013. "Liquidity Risk and the Credit Crunch of 2007-2009: Evidence from Micro-Level Data on Mortgage Loan Applications," MPRA Paper 49270, University Library of Munich, Germany.

  21. Yusuf Jafry & Til Schuermann, 2003. "Metrics for Comparing Credit Migration Matrices," Center for Financial Institutions Working Papers 03-09, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Phillips, Jill & Katchova, Ani L., 2004. "Credit Score Migration Analysis Of Farm Businesses: Conditioning On Business Cycles And Migration Trends," 2004 Annual meeting, August 1-4, Denver, CO 20136, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Zhang, Tianwei & Katchova, Ani L., 2005. "Credit Risk Migration Analysis of Illinois Farm Business: Possible Impacts of Farm Business Cycle," 2005 Annual meeting, July 24-27, Providence, RI 19292, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Sumon Bhaumik & John S. Landon-Lane, 2007. "Directional Mobility of Ratings," William Davidson Institute Working Papers Series wp900, William Davidson Institute at the University of Michigan.
    4. Jongeneel, Roelof A. & Tonini, Axel, 2008. "Dairy Quota and Farm Structural Change: A Case Study on the Netherlands," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6692, European Association of Agricultural Economists.
    5. Til Schuermann & Yusuf Jafry, 2003. "Measurement and Estimation of Credit Migration Matrices," Center for Financial Institutions Working Papers 03-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    6. Narcisa Kadlcakova & Joerg Keplinger, 2004. "Credit Risk and Bank Lending in the Czech Republic," Working Papers 2004/06, Czech National Bank.

  22. Pesaran, M.H. & Schuermann, T. & Treutler, B-J. & Weiner, S.M., 2003. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Cambridge Working Papers in Economics 0330, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Tomas Konecny & Oxana Babecka Kucharcukova, 2013. "Evaluating the Links Between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Working Papers 2013/10, Czech National Bank.
    2. Antonella Foglia, 2008. "Stress testing credit risk: a survey of authorities' approaches," Questioni di Economia e Finanza (Occasional Papers) 37, Bank of Italy, Economic Research and International Relations Area.
    3. Siem Jan Koopman & André Lucas, 2003. "Business and Default Cycles for Credit Risk," Tinbergen Institute Discussion Papers 03-062/2, Tinbergen Institute, revised 09 Jan 2003.
    4. Tajik, Mohammad & Aliakbari, Saeideh & Ghalia, Thaana & Kaffash, Sepideh, 2015. "House prices and credit risk: Evidence from the United States," Economic Modelling, Elsevier, vol. 51(C), pages 123-135.
    5. Albert, Jose Ramon G. & Ng, Thiam Hee, 2012. "Assessing the Resilience of ASEAN Banking Systems: the Case of the Philippines," Discussion Papers DP 2012-23, Philippine Institute for Development Studies.
    6. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    7. Beirne, John & Gieck, Jana, 2012. "Interdependence and contagion in global asset markets," Working Paper Series 1480, European Central Bank.
    8. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    9. Mr. Jorge A Chan-Lau, 2006. "Fundamentals-Based Estimation of Default Probabilities - A Survey," IMF Working Papers 2006/149, International Monetary Fund.
    10. Michael Beenstock & Mahmood Khatib, 2018. "Contagion And Correlation In Empirical Models Of Bank Credit Risk In Israel," Israel Economic Review, Bank of Israel, vol. 15(1), pages 1-34.
    11. Darrell Duffie & Ke Wang, 2004. "Multi-Period Corporate Failure Prediction with Stochastic Covariates," NBER Working Papers 10743, National Bureau of Economic Research, Inc.
    12. Bernd Schwaab & Siem Jan Koopman & André Lucas, 2017. "Global Credit Risk: World, Country and Industry Factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 296-317, March.
    13. Pesaran, M. Hashem & Xu, TengTeng, 2011. "Business Cycle Effects of Credit and Technology Shocks in a DSGE Model with Firm Defaults," IZA Discussion Papers 6027, Institute of Labor Economics (IZA).
    14. Matthieu Bussiere & Alexander Chudik & Giulia Sestieri, 2012. "Modelling global trade flows: results from a GVAR model," Globalization Institute Working Papers 119, Federal Reserve Bank of Dallas.
    15. Issouf Samaké & Yongzheng Yang, 2011. "Low-Income Countries' BRIC Linkage: Are there Growth Spillovers?," IMF Working Papers 2011/267, International Monetary Fund.
    16. Ferreira Filipe, Sara & Grammatikos, Theoharry & Michala, Dimitra, 2014. "Forecasting Distress in European SME Portfolios," MPRA Paper 53572, University Library of Munich, Germany.
    17. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "Commodity prices and BRIC and G3 liquidity: A SFAVEC approach," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 18-33.
    18. Jan Annaert & Marc De Ceuster & Patrick Van Roy & Cristina Vespro, 2010. "What determines euro area bank CDS spreads ?," Working Paper Research 190, National Bank of Belgium.
    19. Zedginidze Zviad, 2012. "Linking Macroeconomic Dynamics to Georgian Credit Portfolio Risk," EERC Working Paper Series 12/07e, EERC Research Network, Russia and CIS.
    20. Carlos Madeira, 2019. "Measuring the Covariance Risk of Consumer Debt Portfolios," 2019 Meeting Papers 240, Society for Economic Dynamics.
    21. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and practice of GVAR modeling," Globalization Institute Working Papers 180, Federal Reserve Bank of Dallas.
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  23. Til Schuermann & Yusuf Jafry, 2003. "Measurement and Estimation of Credit Migration Matrices," Center for Financial Institutions Working Papers 03-08, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    2. Phillips, Jill & Katchova, Ani L., 2004. "Credit Score Migration Analysis Of Farm Businesses: Conditioning On Business Cycles And Migration Trends," 2004 Annual meeting, August 1-4, Denver, CO 20136, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Yusuf Jafry & Til Schuermann, 2003. "Metrics for Comparing Credit Migration Matrices," Center for Financial Institutions Working Papers 03-09, Wharton School Center for Financial Institutions, University of Pennsylvania.
    4. Arnaud_de_Servigny & Norbert_Jobst, 2005. "An Empirical Analysis of Equity Default Swaps (I): Univariate Insights," International Finance 0503007, University Library of Munich, Germany.
    5. Li, Xiaofei & Escalante, Cesar L. & Dodson, Charles B., 2015. "A Credit Migration Analysis of the Financial Vitality of Female and Racial Minority Borrowers of the Farm Service Agency under Recessionary Conditions," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205038, Agricultural and Applied Economics Association.
    6. Featherstone, Allen M. & Langemeier, Michael R. & Haverkamp, Kent, 2006. "Credit Quality of Kansas Farms," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35309, Southern Agricultural Economics Association.
    7. Hofner D. Rusiana & Cesar L. Escalante & Brady E. Brewer, 2024. "Financial Resilience of Young and Beginning Farmers under Recession: A Transition Probability Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(3), pages 1-5.
    8. Bocchio, Cecilia & Crook, Jonathan & Andreeva, Galina, 2023. "The impact of macroeconomic scenarios on recurrent delinquency: A stress testing framework of multi-state models for mortgages," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1655-1677.
    9. Narcisa Kadlcakova & Joerg Keplinger, 2004. "Credit Risk and Bank Lending in the Czech Republic," Working Papers 2004/06, Czech National Bank.

  24. Andrew Kuritzkes & Til Schuermann & Scott M. Weiner, 2002. "Risk Measurement, Risk Management and Capital Adequacy in Financial Conglomerates," Center for Financial Institutions Working Papers 03-02, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Carey, Mark & Stulz, Rene M., 2005. "The Risks of Financial Institutions," Working Paper Series 2005-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    2. Drehmann, Mathias & Alessandri, Piergiorgio, 2009. "An economic capital model integrating credit and interest rate risk in the banking book," Working Paper Series 1041, European Central Bank.
    3. Jacob A. Bikker, 2002. "Cross-sector diversification in financial conglomerates: simulations with a fair-value assets and liabilities model," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 55(223), pages 363-389.
    4. Benito Arruñada, 2008. "Mandatory accounting disclosure by small private companies," Economics Working Papers 1090, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Andrew Kuritzkes & Til Schuermann & Scott Weiner, 2005. "Deposit Insurance and Risk Management of the U.S. Banking System: What is the Loss Distribution Faced by the FDIC?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 27(3), pages 217-242, September.
    6. Donato Masciandaro, 2006. "E Pluribus Unum? Authorities' Design in Financial Supervision: Trends and Determinants," Open Economies Review, Springer, vol. 17(1), pages 73-102, January.
    7. Grundke, Peter, 2010. "Top-down approaches for integrated risk management: How accurate are they?," European Journal of Operational Research, Elsevier, vol. 203(3), pages 662-672, June.
    8. Brack, Estelle, 2009. "États-Unis,“soupe primitive” de la crise financière [The United-States : "primitive soup" of the financial turmoil]," MPRA Paper 23480, University Library of Munich, Germany.
    9. Bellini, Tiziano, 2013. "Integrated bank risk modeling: A bottom-up statistical framework," European Journal of Operational Research, Elsevier, vol. 230(2), pages 385-398.
    10. Jianping Li & Jichuang Feng & Xiaolei Sun & Minglu Li, 2012. "Risk Integration Mechanisms And Approaches In Banking Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1183-1213.
    11. Sanjiv Das, 2007. "Basel II: Correlation Related Issues," Journal of Financial Services Research, Springer;Western Finance Association, vol. 32(1), pages 17-38, October.
    12. Stephanou, Constantinos, 2005. "Supervision of financial conglomerates : the case of Chile," Policy Research Working Paper Series 3553, The World Bank.
    13. Mark Carey & Rene M. Stulz, 2007. "Introduction to "The Risks of Financial Institutions"," NBER Chapters, in: The Risks of Financial Institutions, pages 1-25, National Bureau of Economic Research, Inc.

  25. Andrew Kuritzkes & Til Schuermann & Scott Weiner, 2002. "Deposit Insurance and Risk Management of the U.S. Banking System: How Much? How Safe? Who Pays?," Center for Financial Institutions Working Papers 02-02, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. M. Hashem Pesaran & Til Schuermann & Scott M. Weiner, 2002. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Center for Financial Institutions Working Papers 01-38, Wharton School Center for Financial Institutions, University of Pennsylvania.
    2. García-Céspedes, Rubén & Moreno, Manuel, 2014. "Estimating the distribution of total default losses on the Spanish financial system," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 242-261.
    3. Episcopos, Athanasios, 2004. "The implied reserves of the Bank Insurance Fund," Journal of Banking & Finance, Elsevier, vol. 28(7), pages 1617-1635, July.
    4. Benczur, Peter & Cannas, Giuseppina & Cariboni, Jessica & Di Girolamo, Francesca & Maccaferri, Sara & Petracco Giudici, Marco, 2017. "Evaluating the effectiveness of the new EU bank regulatory framework: A farewell to bail-out?," Journal of Financial Stability, Elsevier, vol. 33(C), pages 207-223.
    5. De Giuli, Maria Elena & Maggi, Mario Alessandro & Paris, Francesco Maria, 2009. "Deposit guarantee evaluation and incentives analysis in a mutual guarantee system," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1058-1068, June.

  26. Pesaran, M.H. & Weiner, S.M., 2001. "Modelling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Cambridge Working Papers in Economics 0119, Faculty of Economics, University of Cambridge.

    Cited by:

    1. INOUE Tomoo & OKIMOTO Tatsuyoshi, 2019. "How Does Unconventional Monetary Policy Affect the Global Financial Markets?: Evaluating Policy Effects by Global VAR Models," Discussion papers 19031, Research Institute of Economy, Trade and Industry (RIETI).
    2. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci, 2014. "Uncertainty and Economic Activity: A Global Perspective," CESifo Working Paper Series 4736, CESifo.
    3. Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2017. "Spreading the word or reducing the term spread? Assessing spillovers from euro area monetary policy," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168111, Verein für Socialpolitik / German Economic Association.
    4. Andrea Cipollini & Fabio Parla, 2018. "Housing Market Shocks in Italy: a GVAR approach," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0069, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    5. Olga Korotkikh, 2020. "A Multi-Country BVAR Model for the External Sector," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 98-112, December.
    6. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    7. T H Moon & S Y Sohn, 2010. "Technology credit scoring model considering both SME characteristics and economic conditions: The Korean case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 666-675, April.
    8. Georgiadis, Georgios, 2015. "Determinants of global spillovers from US monetary policy," Working Paper Series 1854, European Central Bank.
    9. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2023. "Systemwide directional connectedness from Crude Oil to sovereign credit risk," Journal of Commodity Markets, Elsevier, vol. 30(C).
    10. Chen, Anping & Groenewold, Nicolaas, 2018. "The regional effects of macroeconomic shocks in China," China Economic Review, Elsevier, vol. 48(C), pages 139-154.
    11. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    12. Nils Holinski & Robert Vermeulen, 2012. "The international wealth channel: a global error-correcting analysis," Empirical Economics, Springer, vol. 43(3), pages 985-1010, December.
    13. Minoas Koukouritakis & Athanasios Papadopoulos & Andreas Yiannopoulos, 2013. "Linkages between the Eurozone and the South-Eastern European Countries: A VECMX Analysis," Working Papers 1302, University of Crete, Department of Economics.
    14. Sandra Eickmeier & Tim Ng, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/04, Reserve Bank of New Zealand.
    15. Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2021. "Global impacts of US monetary policy uncertainty shocks," Working Paper Series 2513, European Central Bank.
    16. Fabio C. Bagliano & Claudio Morana, 2006. "International Macroeconomic Dynamics: a Factor Vector Autoregressive Approach," ICER Working Papers 41-2006, ICER - International Centre for Economic Research.
    17. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    18. Mariam Camarero & Josep Lluís Carrión-i-Silvestre & Cecilio Tamarit, 2020. "External imbalances from a GVAR perspective," Working Papers 2005, Department of Applied Economics II, Universidad de Valencia.
    19. Sungurtekin Hallam, Bahar, 2022. "Emerging market responses to external shocks: A cross-country analysis," Economic Modelling, Elsevier, vol. 115(C).
    20. Michael Pfarrhofer, 2019. "Measuring international uncertainty using global vector autoregressions with drifting parameters," Papers 1908.06325, arXiv.org, revised Dec 2019.
    21. Chang, Roberto, 2012. "Comment," LSE Research Online Documents on Economics 123286, London School of Economics and Political Science, LSE Library.
    22. Yang, Qiang & Huo, Jiale & Saqib, Najia & Mahmood, Haider, 2022. "Modelling the effect of renewable energy and public-private partnership in testing EKC hypothesis: Evidence from methods moment of quantile regression," Renewable Energy, Elsevier, vol. 192(C), pages 485-494.
    23. Minoas Koukouritakis & Athanasios P. Papadopoulos & Andreas Yannopoulos, 2013. "Linkages between the euro zone and the south-eastern European countries: a global VAR analysis," Working Papers 163, Bank of Greece.
    24. Simon Lloyd & Ed Manuel & Konstantin Panchev, 2024. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 335-392, March.
    25. Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
    26. Michael D. Bordo & Pierre L. Siklos, 2015. "Central Bank Credibility: An Historical and Quantitative Exploration," NBER Working Papers 20824, National Bureau of Economic Research, Inc.
    27. Saldías, Martín, 2013. "A market-based approach to sector risk determinants and transmission in the euro area," Working Paper Series 1574, European Central Bank.
    28. Dees, Stéphane, 2016. "Credit, asset prices and business cycles at the global level," Economic Modelling, Elsevier, vol. 54(C), pages 139-152.
    29. Candelon, Bertrand & Luisi , Angelo & Roccazzella, Francesco, 2021. "Fragmentation in the European Monetary Union: Is it really over?," LIDAM Discussion Papers LFIN 2021015, Université catholique de Louvain, Louvain Finance (LFIN).
    30. Pierre, Guillaume & Kaminski, Jonathan, 2017. "Cross country maize market linkages in Africa: integration and price transmission across local and global markets," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261280, European Association of Agricultural Economists.
    31. Inoue,Tomoo & Kaya,Demet & Ohshige,Hitoshi, 2015. "The impact of China?s slowdown on the Asia Pacific region : an application of the GVAR model," Policy Research Working Paper Series 7442, The World Bank.
    32. Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael, 2018. "The transmission of uncertainty shocks on income inequality: State-level evidence from the United States," Working Papers in Regional Science 2018/06, WU Vienna University of Economics and Business.
    33. George Kapetanios & M. Hashem Pesaran & Takashi Yamagata, 2006. "Panels with Nonstationary Multifactor Error Structures," Working Papers 569, Queen Mary University of London, School of Economics and Finance.
    34. Melisso Boschi & Alessandro Girardi, 2008. "The contribution of domestic, regional, and international factors to Latin America’s business cycle," ISAE Working Papers 105, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    35. Gerdie Everaert, 2017. "On the estimation of panel fiscal reaction functions : Heterogeneity or fiscal fatigue?," Working Paper Research 320, National Bank of Belgium.
    36. Kamiar Mohaddes & Mehdi Raissi, 2016. "The U.S. Oil Supply Revolution and the Global Economy," Working Papers EPRG 1604, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    37. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    38. Kamiar Mohaddes & M. Hashem Pesaran, 2016. "Oil Prices and the Global Economy: Is It Different This Time Around?," Working Papers 1052, Economic Research Forum, revised 10 2016.
    39. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," CESifo Working Paper Series 3722, CESifo.
    40. Julius Stakenas & Rasa Stasiukynaite, 2016. "Monetary policy transmission: the case of Lithuania," Bank of Lithuania Working Paper Series 24, Bank of Lithuania.
    41. Jackson, Laura E. & Owyang, Michael T. & Zubairy, Sarah, 2018. "Debt and stabilization policy: Evidence from a Euro Area FAVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 67-91.
    42. Bettendorf, Timo, 2013. "Feeding the Global VAR with theory: Is German wage moderation to blame for European imbalances?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79710, Verein für Socialpolitik / German Economic Association.
    43. Jacobs, Jan P.A.M. & Wallis, Kenneth F., 2010. "Cointegration, long-run structural modelling and weak exogeneity: Two models of the UK economy," Journal of Econometrics, Elsevier, vol. 158(1), pages 108-116, September.
    44. Lombardi, Marco J. & Galesi, Alessandro, 2009. "External shocks and international inflation linkages: a global VAR analysis," Working Paper Series 1062, European Central Bank.
    45. Kok, Christoffer & Gross, Marco & Żochowski, Dawid, 2016. "The impact of bank capital on economic activity - evidence from a mixed-cross-section GVAR model," Working Paper Series 1888, European Central Bank.
    46. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    47. Ansgar H. Belke & Thomas U. Osowski, 2019. "Measuring fiscal spillovers in EMU and beyond: A Global VAR approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 54-93, February.
    48. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    49. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    50. Alexander Chudik & M. Hashem Pesaran, 2018. "Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators," Globalization Institute Working Papers 349, Federal Reserve Bank of Dallas.
    51. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    52. Fan, Ying & Leung, Charles Ka Yui & Yang, Zan, 2021. "Financial Conditions, Local Competition, and Local Market Leaders: The Case of Real Estate Developers," GRU Working Paper Series GRU_2021_007, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    53. Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Fiscal Spillovers in the Euro Area," Discussion Papers of DIW Berlin 1164, DIW Berlin, German Institute for Economic Research.
    54. Victor Echevarria-Icaza & Simón Sosvilla-Rivero, 2017. "Yields on sovereign debt, fragmentation and monetary policy transmission in the euro area: A GVAR approach," Working Papers del Instituto Complutense de Estudios Internacionales 1703, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
    55. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    56. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2016. "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1371-1391, November.
    57. Jakšić Saša, 2022. "Modelling Determinants of Inflation in CESEE Countries: Global Vector Autoregressive Approach," Review of Economic Perspectives, Sciendo, vol. 22(2), pages 137-169, June.
    58. Olatunji A. Shobande & Simplice A. Asongu, 2022. "The Critical Role of Education and ICT in Promoting Environmental Sustainability in Eastern and Southern Africa: A Panel VAR Approach," Working Papers of the African Governance and Development Institute. 22/006, African Governance and Development Institute..
    59. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi & Alessandro Rebucci, 2020. "A Counterfactual Economic Analysis of Covid-19 Using a Threshold Augmented Multi-Country Model," CESifo Working Paper Series 8588, CESifo.
    60. Steven Trypsteen, 2014. "Cross-Country Interactions, the Great Moderation and the Role of Output Volatility in Growth," Discussion Papers 2014/10, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    61. Mardi Dungey & Renée Fry, 2003. "International Shocks on Australia – The Japanese Effect," Australian Economic Papers, Wiley Blackwell, vol. 42(2), pages 158-182, June.
    62. Piotr Kębłowski, 2021. "GVAR: A Case of Spurious Cross-Sectional Cointegration," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(2), pages 175-187, June.
    63. Hajek, Jan & Horvath, Roman, 2018. "International spillovers of (un)conventional monetary policy: The effect of the ECB and the US Fed on non-euro EU countries," Economic Systems, Elsevier, vol. 42(1), pages 91-105.
    64. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2021. "Time-varying inter-urban housing price spillovers in China: Causes and consequences," Journal of Asian Economics, Elsevier, vol. 77(C).
    65. Kempa, Bernd & Khan, Nazmus Sadat, 2017. "Spillover effects of debt and growth in the euro area: Evidence from a GVAR model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 102-111.
    66. Christian Dreger & J¨¹rgen Wolters, 2011. "Liquidity and Asset Prices: How Strong are the Linkages?," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 43-52, February.
    67. Ronald A. Ratti & Joaquin L. Vespignani, 2015. "What drives the global interest rate," Globalization Institute Working Papers 241, Federal Reserve Bank of Dallas.
    68. Guillaume Chevillon & Alain Hecq & Sébastien Laurent, 2018. "Generating Univariate Fractional Integration within a Large VAR(1)," AMSE Working Papers 1844, Aix-Marseille School of Economics, France.
    69. Tonmoy Chatterjee & Nilendu Chatterjee, 2022. "Does Innovation Make Nations More Healthy? Evidence from Developing and Developed Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3296-3325, December.
    70. Matthieu Bussiere & Alexander Chudik & Giulia Sestieri, 2012. "Modelling global trade flows: results from a GVAR model," Globalization Institute Working Papers 119, Federal Reserve Bank of Dallas.
    71. Huayi Yu & Yanfen Huang, 2016. "Regional heterogeneity and the trans-regional interaction of housing prices and inflation: Evidence from China’s 35 major cities," Urban Studies, Urban Studies Journal Limited, vol. 53(16), pages 3472-3492, December.
    72. Gossé, Jean-Baptiste & Guillaumin, Cyriac, 2013. "L’apport de la représentation VAR de Christopher A. Sims à la science économique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 309-319, Décembre.
    73. Akbari Dehbaghi, Simin & Arman, Seyed Aziz & Ahangari, Majid, 2020. "The Impact of Domestic and Foreign Monetary Policy on Iran\'s economy: Global Modeling," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(2), pages 151-180, April.
    74. M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2005. "What if the UK had Joined the Euro in 1999? An Empirical Evaluation using a Global VAR," IEPR Working Papers 05.24, Institute of Economic Policy Research (IEPR).
    75. Hebous, Shafik, 2009. "The Effects of Discretionary Fiscal Policy on Macroeconomic Aggregates: A Reappraisal," MPRA Paper 23300, University Library of Munich, Germany, revised Jun 2010.
    76. Georgiadis, Georgios, 2017. "To bi, or not to bi? Differences between spillover estimates from bilateral and multilateral multi-country models," Journal of International Economics, Elsevier, vol. 107(C), pages 1-18.
    77. Issouf Samaké & Yongzheng Yang, 2011. "Low-Income Countries' BRIC Linkage: Are there Growth Spillovers?," IMF Working Papers 2011/267, International Monetary Fund.
    78. M. Hashem Pesaran & Til Schuermann & L. Vanessa Smith, 2008. "Forecasting economic and financial variables with global VARs," Staff Reports 317, Federal Reserve Bank of New York.
    79. Andrea Colabella, 2019. "Do the ECB’s monetary policies benefit emerging market economies? A GVAR analysis on the crisis and post-crisis period," Temi di discussione (Economic working papers) 1207, Bank of Italy, Economic Research and International Relations Area.
    80. Hiebert, Paul & Vansteenkiste, Isabel, 2009. "Do house price developments spill over across euro area countries? Evidence from a Global VAR," Working Paper Series 1026, European Central Bank.
    81. He, Kang & Gan, Yue & Wu, Hong, 2024. "Natural resources, decentralized system, financial inclusion and sustainable development: Evidence from top emerging economies with resources abundance," Resources Policy, Elsevier, vol. 89(C).
    82. International Monetary Fund, 2016. "Cross-Country Report on Spillovers: Selected Issues," IMF Staff Country Reports 2016/212, International Monetary Fund.
    83. Hampel, Katharina & Kunz, Marcus & Schanne, Norbert & Wapler, Rüdiger & Weyh, Antje, 2007. "Regional employment forecasts with spatial interdependencies," IAB-Discussion Paper 200702, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    84. Ludovic Gauvin & Cyril C. Rebillard, 2018. "Towards recoupling? Assessing the global impact of a Chinese hard landing through trade and commodity price channels," The World Economy, Wiley Blackwell, vol. 41(12), pages 3379-3415, December.
    85. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    86. Hahandou Mano, 2024. "Foreign Direct Investment and Domestic Private Investment in WAEMU Countries: Crowding-in or Crowding-out?," International Journal of Economics and Financial Issues, Econjournals, vol. 14(3), pages 57-65, May.
    87. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. Van Dijk, 2016. "Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1352-1370, November.
    88. Emanuele Bacchiocchi & Catalin Dragomirescu-Gaina, 2022. "Uncertainty spill-overs: when policy and financial realms overlap," Working Papers wp1174, Dipartimento Scienze Economiche, Universita' di Bologna.
    89. Zhang, Ren Jie & Razzaq, Asif, 2022. "Influence of economic policy uncertainty and financial development on renewable energy consumption in the BRICST region," Renewable Energy, Elsevier, vol. 201(P1), pages 526-533.
    90. Skrypnik, D., 2014. "The Spillover Effects of Quantitative Easing in the United States for Russian Economy. Macroeconometric Analysis," Journal of the New Economic Association, New Economic Association, vol. 22(2), pages 74-101.
    91. Katrin Assenmacher-Wesche & Stefan Gerlach, 2008. "Monetary policy, asset prices and macroeconomic conditions : a panel-VAR study," Working Paper Research 149, National Bank of Belgium.
    92. Konstantakis, Konstantinos N. & Soklis, George & Michaelides, Panayotis G., 2017. "Tourism expenditures and crisis transmission: a general equilibrium GVAR analysis with network theory," LSE Research Online Documents on Economics 83531, London School of Economics and Political Science, LSE Library.
    93. Garratt, Anthony & Lee, Kevin & Shields, Kalvinder, 2016. "Forecasting global recessions in a GVAR model of actual and expected output," International Journal of Forecasting, Elsevier, vol. 32(2), pages 374-390.
    94. Elisabetta Croci Angelini & Francesco Farina & Enzo Valentini, 2016. "Contagion across Eurozone’s sovereign spreads and the Core-Periphery divide," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(1), pages 197-213, February.
    95. Maximilian Böck & Martin Feldkircher & Florian Huber, 2020. "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R," Globalization Institute Working Papers 395, Federal Reserve Bank of Dallas.
    96. Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
    97. Deng, Wei & Akram, Rabia & Mirza, Nawazish, 2022. "Economic performance and natural resources: Evaluating the role of economic risk," Resources Policy, Elsevier, vol. 78(C).
    98. Chudik, A. & Pesaran, H. & Mohaddes, K., 2018. "Identifying Global and National Output and Fiscal Policy Shocks Using a GVAR," Cambridge Working Papers in Economics 1874, Faculty of Economics, University of Cambridge.
    99. Jan Hájek & Roman Horváth, 2016. "The Spillover Effect of Euro Area on Central and Southeastern European Economies: A Global VAR Approach," Open Economies Review, Springer, vol. 27(2), pages 359-385, April.
    100. Jean-Pierre Allegret & Valérie Mignon & Audrey Allegret, 2014. "Oil price shocks and global imbalances: Lessons from a model with trade and financial interdependencies," Working Papers hal-04141352, HAL.
    101. Nils Jannsen, 2010. "National and International Business Cycle Effects of Housing Crises," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(2), pages 175-206.
    102. Martin Feldkircher & Florian Huber & Gary Koop & Michael Pfarrhofer, 2022. "APPROXIMATE BAYESIAN INFERENCE AND FORECASTING IN HUGE‐DIMENSIONAL MULTICOUNTRY VARs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1625-1658, November.
    103. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and practice of GVAR modeling," Globalization Institute Working Papers 180, Federal Reserve Bank of Dallas.
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    548. Joshua Dzankar Zoaka & Daberechi Chikezie Ekwueme & Hasan Güngör & Andrew Adewale Alola, 2022. "Will financial development and clean energy utilization rejuvenate the environment in BRICS economies?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2156-2170, July.
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  27. Anil Bangia & Francis X. Diebold & Til Schuermann, 2000. "Ratings Migration and the Business Cycle, With Application to Credit Portfolio Stress Testing," Center for Financial Institutions Working Papers 00-26, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Samu Peura & Esa Jokivuolle, 2004. "Simulation-based stress testing of banks’ regulatory capital adequacy," Finance 0405003, University Library of Munich, Germany.
    2. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    3. Siem Jan Koopman & André Lucas, 2003. "Business and Default Cycles for Credit Risk," Tinbergen Institute Discussion Papers 03-062/2, Tinbergen Institute, revised 09 Jan 2003.
    4. Guillermo Ordonez, 2008. "Fragility of Reputation and Clustering in Risk Taking," 2008 Meeting Papers 441, Society for Economic Dynamics.
    5. Liuren Wu & Frank X. Zhang, 2005. "A no-arbitrage analysis of economic determinants of the credit spread term structure," Finance and Economics Discussion Series 2005-59, Board of Governors of the Federal Reserve System (U.S.).
    6. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Migration Analysis; Conditioning Transition Matrices on the Stage of the Business Cycle," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(2), pages 151-166, May.
    7. Siem Jan Koopman & André Lucas & André Monteiro, 2005. "The Multi-State Latent Factor Intensity Model for Credit Rating Transitions," Tinbergen Institute Discussion Papers 05-071/4, Tinbergen Institute, revised 04 Jul 2005.
    8. Koopman, Siem Jan & Lucas, André, 2008. "A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 510-525.
    9. Nicolas Jannone Bellot, MaLuisa Marti Selva, Leandro Garcia Menendez, 2017. "Herding Behaviour among Credit Rating Agencies," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(1), pages 56-83, March.
    10. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, August.
    11. Alain Monfort & Jean-Paul Renne, 2010. "Default, Liquidity and Crises : An Econometric Framework," Working Papers 2010-46, Center for Research in Economics and Statistics.
    12. Bonfim, Diana, 2009. "Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
    13. Wiem Ben Jabra & Zouheir Mighri & Faysal Mansouri, 2017. "Determinants of European bank risk during financial crisis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1298420-129, January.
    14. Tatiana Cesaroni, 2015. "Procyclicality of credit rating systems: how to manage it," Temi di discussione (Economic working papers) 1034, Bank of Italy, Economic Research and International Relations Area.
    15. Dmitri Boreiko & Serguei Kaniovski & Yuri Kaniovski & Georg Pflug, 2017. "Traces of business cycles in credit-rating migrations," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-29, April.
    16. Phillips, Jill & Katchova, Ani L., 2004. "Credit Score Migration Analysis Of Farm Businesses: Conditioning On Business Cycles And Migration Trends," 2004 Annual meeting, August 1-4, Denver, CO 20136, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Lee, Yongwoong & Poon, Ser-Huang, 2014. "Forecasting and decomposition of portfolio credit risk using macroeconomic and frailty factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 69-92.
    18. Schuermann, Til, 2013. "Stress Testing Banks," Working Papers 12-08, University of Pennsylvania, Wharton School, Weiss Center.
    19. Pastor Monsálvez José Manuel & Fernández de Guevara Radoselovics Juan & Salvador Muñoz Carlos, 2012. "Impact of the Subprime Crisis on Bank Ratings: The Effect of the Hardening of Rating Policies and Worsening of Solvency," Working Papers 2012120, Fundacion BBVA / BBVA Foundation.
    20. Jafry, Yusuf & Schuermann, Til, 2004. "Measurement, estimation and comparison of credit migration matrices," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2603-2639, November.
    21. Pederzoli, Chiara & Torricelli, Costanza, 2005. "Capital requirements and business cycle regimes: Forward-looking modelling of default probabilities," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3121-3140, December.
    22. Yi Jiang & Stewart Jones, 2018. "Corporate distress prediction in China: a machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(4), pages 1063-1109, December.
    23. Philip Lowe, 2002. "Credit risk measurement and procyclicality," BIS Working Papers 116, Bank for International Settlements.
    24. Kiefer, Nicholas M. & Larson, C. Erik, 2007. "A simulation estimator for testing the time homogeneity of credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 818-835, December.
    25. Wu, Yang-Che & Chung, San-Lin, 2010. "Catastrophe risk management with counterparty risk using alternative instruments," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 234-245, October.
    26. Claudio Borio, 2011. "Rediscovering the Macroeconomic Roots of Financial Stability Policy: Journey, Challenges, and a Way Forward," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 87-117, December.
    27. Biase di Giuseppe & Guglielmo D'Amico & Jacques Janssen & Raimondo Manca, 2014. "A Duration Dependent Rating Migration Model: Real Data Application and Cost of Capital Estimation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 233-245, June.
    28. T H Moon & Y Kim & S Y Sohn, 2011. "Technology credit rating system for funding SMEs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 608-615, April.
    29. Agostino, Mariarosaria & Errico, Lucia & Rondinella, Sandro & Trivieri, Francesco, 2023. "Enduring lending relationships and european firms default," Research in Economics, Elsevier, vol. 77(4), pages 459-477.
    30. Rasha Alsakka & Owain ap Gwilym, 2010. "Sovereign Ratings and Migrations: Emerging Markets," Working Papers 10009, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    31. T. Gärtner & S. Kaniovski & Y. Kaniovski, 2021. "Numerical estimates of risk factors contingent on credit ratings," Computational Management Science, Springer, vol. 18(4), pages 563-589, October.
    32. Weißbach, Rafael & Walter, Ronja, 2010. "A likelihood ratio test for stationarity of rating transitions," Journal of Econometrics, Elsevier, vol. 155(2), pages 188-194, April.
    33. Zhang, Tianwei & Katchova, Ani L., 2005. "Credit Risk Migration Analysis of Illinois Farm Business: Possible Impacts of Farm Business Cycle," 2005 Annual meeting, July 24-27, Providence, RI 19292, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    34. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5, pages 49-72.
    35. Hakimi, Abdelaziz & Hamdi, Helmi, 2013. "Credit Information, Guarantees and Non-Performing Loans," MPRA Paper 55750, University Library of Munich, Germany, revised 2014.
    36. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    37. Valerio Vacca, 2017. "An Unexpected Crisis? Looking at Pricing Effectiveness of Heterogeneous Banks," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 46(2), pages 171-206, July.
    38. Ferrer, Alex & Casals, José & Sotoca, Sonia, 2015. "Sample dependency during unconditional credit capital estimation," Finance Research Letters, Elsevier, vol. 15(C), pages 175-186.
    39. Koopman, Siem Jan & Lucas, Andre & Klaassen, Pieter, 2005. "Empirical credit cycles and capital buffer formation," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3159-3179, December.
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    182. Tomáš Vaněk & David Hampel, 2017. "The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 759-776.
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    189. Chew Lian Chua & G. C. Lim & Penelope Smith, 2008. "A Bayesian Simulation Approach to Inference on a Multi-State Latent Factor Intensity Model," Melbourne Institute Working Paper Series wp2008n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
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    193. Simona Castellani & Chiara Pederzoli & Costanza Torricelli, 2008. "Indebtedness, macroeconomic conditions and banks’ loan losses: evidence from Italy," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0009, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    194. Weißbach, Rafael & Walter, Ronja, 2008. "A likelihood ratio test for stationarity of rating transitions," Technical Reports 2008,27, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    195. Lando, David & Mortensen, Allan, 2004. "On the Pricing of Step-Up Bonds in the European Telecom Sector," Working Papers 2004-9, Copenhagen Business School, Department of Finance.
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  28. Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998. "Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-081, New York University, Leonard N. Stern School of Business-.

    Cited by:

    1. Cotter, John, 2004. "Varying the VaR for Unconditional and Conditional Environments," MPRA Paper 3483, University Library of Munich, Germany.
    2. Turan G. Bali, 2007. "An Extreme Value Approach to Estimating Interest-Rate Volatility: Pricing Implications for Interest-Rate Options," Management Science, INFORMS, vol. 53(2), pages 323-339, February.
    3. Odening, Martin & Hinrichs, Jan, 2003. "Die Quantifizierung von Marktrisiken in der Tierproduktion mittels Value-at-Risk und Extreme-Value-Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(02), pages 1-11.
    4. Turan G. Bali, 2007. "A Generalized Extreme Value Approach to Financial Risk Measurement," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1613-1649, October.
    5. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    6. Loriano Mancini & Fabio Trojani, 2011. "Robust Value at Risk Prediction," Journal of Financial Econometrics, Oxford University Press, vol. 9(2), pages 281-313, Spring.
    7. Luca Erzegovesi, 2002. "VaR and Liquidity Risk.Impact on Market Behaviour and Measurement Issues," Alea Tech Reports 014, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    8. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    9. Dimitrakopoulos, Dimitris N. & Kavussanos, Manolis G. & Spyrou, Spyros I., 2010. "Value at risk models for volatile emerging markets equity portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 515-526, November.
    10. Jobst, Andreas A., 2002. "The Pricing puzzle: The default term structure of collateralised loan obligations," CFS Working Paper Series 2002/14, Center for Financial Studies (CFS).
    11. Ozaki, Vitor Augusto & Olinda, Ricardo & Faria, Priscila Neves & Campos, Rogerio Costa, 2014. "Estimation of the Agricultural Probability of Loss: evidence for soybean in Paraná Stats," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(1), pages 1-16, March.
    12. Suarez, R, 2001. "Improving Modeling of Extreme Events using Generalized Extreme Value Distribution or Generalized Pareto Distribution with Mixing Unconditional Disturbances," MPRA Paper 17443, University Library of Munich, Germany.
    13. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    14. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," NBER Working Papers 11069, National Bureau of Economic Research, Inc.
    15. Sarafrazi, Soodabeh & Hammoudeh, Shawkat & AraújoSantos, Paulo, 2014. "Downside risk, portfolio diversification and the financial crisis in the euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 368-396.
    16. Wagner, Niklas & Marsh, Terry A., 2005. "Measuring tail thickness under GARCH and an application to extreme exchange rate changes," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 165-185, January.
    17. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. Marc Saidenberg & Til Schuermann & May, "undated". "The New Basel Capital Accord and Questions for Research," Center for Financial Institutions Working Papers 03-14, Wharton School Center for Financial Institutions, University of Pennsylvania.
    19. Ozaki, Vitor Augusto & Olinda, Ricardo & Faria, Priscila Neves & Campos, Rogério Costa, 2014. "Estimation of the Agricultural Probability of Loss: evidence for soybean in Paraná State," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(1), January.
    20. Bystrom, Hans N. E., 2004. "Managing extreme risks in tranquil and volatile markets using conditional extreme value theory," International Review of Financial Analysis, Elsevier, vol. 13(2), pages 133-152.
    21. Suarez, Ronny, 2009. "Improving Modeling of Extreme Events using Generalized Extreme Value Distribution or Generalized Pareto Distribution with Mixing Unconditional Disturbances," MPRA Paper 17482, University Library of Munich, Germany.
    22. Daniele Massacci, 2017. "Tail Risk Dynamics in Stock Returns: Links to the Macroeconomy and Global Markets Connectedness," Management Science, INFORMS, vol. 63(9), pages 3072-3089, September.
    23. Jobst, Andreas A., 2002. "Loan securitisation: default term structure and asset pricing based on loss prioritisation," LSE Research Online Documents on Economics 24941, London School of Economics and Political Science, LSE Library.
    24. Haque, Mahfuzul & Varela, Oscar & Hassan, M. Kabir, 2007. "Safety-first and extreme value bilateral U.S.-Mexican portfolio optimization around the peso crisis and NAFTA in 1994," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 449-469, July.
    25. Marco Moscadelli, 2004. "The modelling of operational risk: experience with the analysis of the data collected by the Basel Committee," Temi di discussione (Economic working papers) 517, Bank of Italy, Economic Research and International Relations Area.
    26. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
    27. Sasa Zikovic & Randall Filer, 2009. "Hybrid Historical Simulation VaR and ES: Performance in Developed and Emerging Markets," CESifo Working Paper Series 2820, CESifo.
    28. Peter F. Christoffersen & Francis X. Diebold, 1998. "How Relevant is Volatility Forecasting for Financial Risk Management?," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-080, New York University, Leonard N. Stern School of Business-.
    29. Singh, Abhay K. & Allen, David E. & Robert, Powell J., 2013. "Extreme market risk and extreme value theory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 310-328.
    30. Odening, Martin & Hinrichs, Jan, 2002. "Assessment Of Market Risk In Hog Production Using Value-At-Risk And Extreme Value Theory," 2002 Annual meeting, July 28-31, Long Beach, CA 19907, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    31. POON, Ser-Huang & ROCKINGER, Michael & TAWN, Jonathan, 2001. "New Extreme-Value Dependance Measures and Finance Applications," HEC Research Papers Series 719, HEC Paris.
    32. Ghosh, Bikramaditya & Bouri, Elie & Wee, Jung Bum & Zulfiqar, Noshaba, 2023. "Return and volatility properties: Stylized facts from the universe of cryptocurrencies and NFTs," Research in International Business and Finance, Elsevier, vol. 65(C).
    33. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February.
    34. Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013. "Currency hedging strategies using dynamic multivariate GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
    35. Bali, Turan G. & Weinbaum, David, 2007. "A conditional extreme value volatility estimator based on high-frequency returns," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 361-397, February.
    36. Araújo Santos, Paulo & Fraga Alves, Isabel & Hammoudeh, Shawkat, 2013. "High quantiles estimation with Quasi-PORT and DPOT: An application to value-at-risk for financial variables," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 487-496.
    37. Manfred Gilli & Evis këllezi, 2006. "An Application of Extreme Value Theory for Measuring Financial Risk," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 207-228, May.
    38. Cotter, John, 2004. "Downside Risk for European Equity Markets," MPRA Paper 3537, University Library of Munich, Germany.
    39. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
    40. John Cotter, 2006. "Extreme Value Estimation of Boom and Crash Statistics," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 553-566.
    41. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2017. "Risk quantification in turmoil markets," Risk Management, Palgrave Macmillan, vol. 19(3), pages 202-224, August.
    42. Ghorbel, Ahmed & Trabelsi, Abdelwahed, 2007. "Predictive Performance of Conditional Extreme Value Theory and Conventional Methods in Value at Risk Estimation," MPRA Paper 3963, University Library of Munich, Germany.
    43. Evis Këllezi & Manfred Gilli, 2000. "Extreme Value Theory for Tail-Related Risk Measures," FAME Research Paper Series rp18, International Center for Financial Asset Management and Engineering.
    44. Peter F. Christoffersen & Francis X. Diebold & Til Schuermann, 1998. "Horizon problems and extreme events in financial risk management," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Oct), pages 109-118.
    45. Carlo Marinelli & Stefano D'Addona & Svetlozar T. Rachev, 2007. "A Comparison Of Some Univariate Models For Value-At-Risk And Expected Shortfall," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(06), pages 1043-1075.
    46. Fernandes, José L. B., 2006. "Risk premium: insights over the threshold," DEE - Working Papers. Business Economics. WB wb062808, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    47. Martins-Filho Carlos & Yao Feng, 2006. "Estimation of Value-at-Risk and Expected Shortfall based on Nonlinear Models of Return Dynamics and Extreme Value Theory," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-43, May.
    48. Zhang, Zhengjun & Huang, James, 2006. "Extremal financial risk models and portfolio evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2313-2338, December.
    49. Chavez-Demoulin, V. & Embrechts, P. & Sardy, S., 2014. "Extreme-quantile tracking for financial time series," Journal of Econometrics, Elsevier, vol. 181(1), pages 44-52.
    50. Alfonso Novales & Laura Garcia-Jorcano, 2019. "Backtesting Extreme Value Theory models of expected shortfall," Documentos de Trabajo del ICAE 2019-24, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    51. Aboura, Sofiane & Wagner, Niklas, 2016. "Extreme asymmetric volatility: Stress and aggregate asset prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 47-59.
    52. Ardakani, Omid M., 2023. "Capturing information in extreme events," Economics Letters, Elsevier, vol. 231(C).
    53. Zhao, Zifeng & Zhang, Zhengjun & Chen, Rong, 2018. "Modeling maxima with autoregressive conditional Fréchet model," Journal of Econometrics, Elsevier, vol. 207(2), pages 325-351.
    54. Riedel, Christoph & Wagner, Niklas, 2015. "Is risk higher during non-trading periods? The risk trade-off for intraday versus overnight market returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 53-64.
    55. Alfredo Calderon Vela & Gabriel Rodríguez, 2014. "Extreme Value Theory: An Application to the Peruvian Stock Market Returns," Documentos de Trabajo / Working Papers 2014-394, Departamento de Economía - Pontificia Universidad Católica del Perú.

  29. Peter F. Christoffersen & Francis X. Diebold & Til Schuermann, 1998. "Horizon Problems and Extreme Events in Financial Risk Management," Center for Financial Institutions Working Papers 98-16, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Antonio Rubia & Trino-Manuel Ñíguez, 2006. "Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
    2. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, August.
    3. Wolff, Christian & Bams, Dennis & Lehnert, Thorsten, 2002. "An Evaluation Framework for Alternative VaR Models," CEPR Discussion Papers 3403, C.E.P.R. Discussion Papers.
    4. Luca Erzegovesi, 2002. "VaR and Liquidity Risk.Impact on Market Behaviour and Measurement Issues," Alea Tech Reports 014, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    5. Durán Santomil, Pablo & Otero González, Luís & Martorell Cunill, Onofre & Merigó Lindahl, José M., 2018. "Backtesting an equity risk model under Solvency II," Journal of Business Research, Elsevier, vol. 89(C), pages 216-222.
    6. Andreas Lehnert & Wayne Passmore, 1999. "Pricing systemic crises: monetary and fiscal policy when savers are uncertain," Finance and Economics Discussion Series 1999-33, Board of Governors of the Federal Reserve System (U.S.).
    7. Gregory, Allan W. & Reeves, Jonathan J., 2008. "Interpreting Value at Risk (VaR) forecasts," Economic Systems, Elsevier, vol. 32(2), pages 167-176, June.
    8. Douglas D. Evanoff & Larry D. Wall, 2000. "Subordinated debt and bank capital reform," Working Paper Series WP-00-7, Federal Reserve Bank of Chicago.
    9. D. Schneller & S. Heiden & M. Heiden & A. Hamid, 2018. "Home is Where You Know Your Volatility – Local Investor Sentiment and Stock Market Volatility," German Economic Review, Verein für Socialpolitik, vol. 19(2), pages 209-236, May.
    10. Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Mishra, Santosh, 2004. "Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood," International Journal of Forecasting, Elsevier, vol. 20(4), pages 629-645.
    11. Cyril Caillault & Dominique Guegan, 2009. "Forecasting VaR and Expected Shortfall using Dynamical Systems: A Risk Management Strategy," PSE-Ecole d'économie de Paris (Postprint) halshs-00375765, HAL.
    12. Li, Xingyi & Zakamulin, Valeriy, 2020. "The term structure of volatility predictability," International Journal of Forecasting, Elsevier, vol. 36(2), pages 723-737.
    13. Zoia, Maria Grazia & Biffi, Paola & Nicolussi, Federica, 2018. "Value at risk and expected shortfall based on Gram-Charlier-like expansions," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 92-104.
    14. Christoffersen, Peter & Errunza, Vihang, 2000. "Towards a global financial architecture: capital mobility and risk management issues," Emerging Markets Review, Elsevier, vol. 1(1), pages 3-20, May.
    15. Guidolin, Massimo & Timmermann, Allan, 2006. "Term structure of risk under alternative econometric specifications," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 285-308.
    16. Wang, Jying-Nan & Du, Jiangze & Hsu, Yuan-Teng, 2018. "Measuring long-term tail risk: Evaluating the performance of the square-root-of-time rule," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 120-138.
    17. Flavio Bazzana, 2001. "I modelli interni per la valutazione del rischio di mercato secondo l'approccio del Value at Risk," Alea Tech Reports 011, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    18. Kevin Dowd & David Blake & Andrew Cairns, 2004. "Long‐Term Value at Risk," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 5(2), pages 52-57, February.
    19. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    20. Aboura, Sofiane & Chevallier, Julien, 2018. "Tail risk and the return-volatility relation," Research in International Business and Finance, Elsevier, vol. 46(C), pages 16-29.
    21. Luca Spadafora & Marco Dubrovich & Marcello Terraneo, 2014. "Value-at-Risk time scaling for long-term risk estimation," Papers 1408.2462, arXiv.org.
    22. Beverly Hirtle, 2003. "What market risk capital reporting tells us about bank risk," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 37-54.
    23. Kavussanos, Manolis G. & Dimitrakopoulos, Dimitris N., 2011. "Market risk model selection and medium-term risk with limited data: Application to ocean tanker freight markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 258-268.
    24. da Costa, B. Freitas Paulo & Pesenti, Silvana M. & Targino, Rodrigo S., 2023. "Risk budgeting portfolios from simulations," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1040-1056.
    25. Ho, Lan-Chih & Burridge, Peter & Cadle, John & Theobald, Michael, 2000. "Value-at-risk: Applying the extreme value approach to Asian markets in the recent financial turmoil," Pacific-Basin Finance Journal, Elsevier, vol. 8(2), pages 249-275, May.
    26. McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.

  30. Anil Bangia & Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998. "Modeling Liquidity Risk With Implications for Traditional Market Risk Measurement and Management," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-062, New York University, Leonard N. Stern School of Business-.

    Cited by:

    1. Timotheos Angelidis & Alexandros Benos, 2009. "The Components of the Bid‐Ask Spread: the Case of the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 15(1), pages 112-144, January.
    2. Carey, Mark & Stulz, Rene M., 2005. "The Risks of Financial Institutions," Working Paper Series 2005-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    3. Luca Erzegovesi, 2002. "VaR and Liquidity Risk.Impact on Market Behaviour and Measurement Issues," Alea Tech Reports 014, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    4. Hisata, Yoshifumi & Yamai, Yasuhiro, 2000. "Research toward the Practical Application of Liquidity Risk Evaluation Methods," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 18(2), pages 83-127, December.
    5. Robert Engle & Robert Ferstenberg, 2006. "Execution Risk," NBER Working Papers 12165, National Bureau of Economic Research, Inc.
    6. Ernst, Cornelia & Stange, Sebastian & Kaserer, Christoph, 2012. "Measuring market liquidity risk - which model works best?," Journal of Financial Transformation, Capco Institute, vol. 35, pages 133-146.
    7. Stange, Sebastian & Kaserer, Christoph, 2008. "Why and how to integrate liquidity risk into a VaR-framework," CEFS Working Paper Series 2008-10, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    8. Panetta, I. C. & Porretta, P., 2009. "Il rischio di liquidità: regolamentazione e best practice [Liquidity Risk: Supervisory Models and Best Practices]," MPRA Paper 36358, University Library of Munich, Germany.
    9. Alexander, Carol & Sheedy, Elizabeth, 2008. "Developing a stress testing framework based on market risk models," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2220-2236, October.
    10. Didier Cossin & Zhijiang Huang & Daniel Aunon-Nerin & Fer nando González, 2002. "A Framework for Collateral Risk Control Determination," FAME Research Paper Series rp61, International Center for Financial Asset Management and Engineering.
    11. Christian A. Johnson, 2002. "Value at Risk: Teoría y Aplicaciones," Working Papers Central Bank of Chile 136, Central Bank of Chile.
    12. Damiano Brigo & Mirela Predescu & Agostino Capponi, 2010. "Credit Default Swaps Liquidity modeling: A survey," Papers 1003.0889, arXiv.org, revised Mar 2010.
    13. GIOT, Pierre & GRAMMIG, Joachim, 2006. "How large is liquidity risk in an automated auction market?," LIDAM Reprints CORE 1846, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Mr. Michael G. Papaioannou, 2006. "A Primer for Risk Measurement of Bonded Debt from the Perspective of a Sovereign Debt Manager," IMF Working Papers 2006/195, International Monetary Fund.
    15. Roger Walder, 2002. "Dynamic Allocation of Treasury and Corporate Bond Portfolios," FAME Research Paper Series rp64, International Center for Financial Asset Management and Engineering.
    16. Strašek Sebastjan & Bricelj Bor, 2016. "Spread and Liquidity Issues: A markets comparison," Naše gospodarstvo/Our economy, Sciendo, vol. 62(1), pages 3-11, March.
    17. Mark Carey & Rene M. Stulz, 2007. "Introduction to "The Risks of Financial Institutions"," NBER Chapters, in: The Risks of Financial Institutions, pages 1-25, National Bureau of Economic Research, Inc.
    18. Al Janabi, Mazin A. M., 2009. "Asset Market Liquidity Risk Management: A Generalized Theoretical Modeling Approach for Trading and Fund Management Portfolios," MPRA Paper 19498, University Library of Munich, Germany.

  31. Nerlove, Marc & Schuermann, Til, 1997. "Businessmen's Expectations Are Neither Rational nor Adaptive," ZEW Discussion Papers 97-01, ZEW - Leibniz Centre for European Economic Research.

    Cited by:

    1. Yu, Ge, 2003. "Comparing Expectations and Outcomes: Application to UK Data," MPRA Paper 502, University Library of Munich, Germany, revised 2005.
    2. Das, J.W.M. & van Soest, A.H.O., 2000. "Expected Versus Realized Income Changes : A Test of the Rational Expectation Hypothesis," Other publications TiSEM 5824ad03-4ec3-4825-829c-9, Tilburg University, School of Economics and Management.

  32. Francis X. Diebold & Andrew Hickman & Atsushi Inoue & Til Schuermann, 1997. "Converting 1-Day Volatility to h-Day Volatitlity: Scaling by Root-h is Worse Than You Think," Center for Financial Institutions Working Papers 97-34, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Odening, Martin & Hinrichs, Jan, 2003. "Die Quantifizierung von Marktrisiken in der Tierproduktion mittels Value-at-Risk und Extreme-Value-Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(02), pages 1-11.
    2. J. Q. Smith & António Santos, 2003. "Second Order Filter Distribution Approximations for Financial Time Series with Extreme Outlier," GEMF Working Papers 2003-03, GEMF, Faculty of Economics, University of Coimbra.
    3. Wolff, Christian & Lehnert, Thorsten, 2001. "Modelling Scale-Consistent VaR with the Truncated Lévy Flight," CEPR Discussion Papers 2711, C.E.P.R. Discussion Papers.
    4. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "VaR performance during the subprime and sovereign debt crises: An application to emerging markets," Emerging Markets Review, Elsevier, vol. 20(C), pages 23-41.
    5. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," NBER Working Papers 11069, National Bureau of Economic Research, Inc.
    6. Danielsson, Jon & Zigrand, Jean-Pierre, 2006. "On time-scaling of risk and the square-root-of-time rule," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2701-2713, October.
    7. Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2017. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Journal of Financial Econometrics, Oxford University Press, vol. 15(4), pages 649-677.
    8. Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Mishra, Santosh, 2004. "Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood," International Journal of Forecasting, Elsevier, vol. 20(4), pages 629-645.
    9. Fritzsch, Simon & Timphus, Maike & Weiß, Gregor, 2024. "Marginals versus copulas: Which account for more model risk in multivariate risk forecasting?," Journal of Banking & Finance, Elsevier, vol. 158(C).
    10. Saadi, Samir & Rahman, Abdul, 2008. "Evidence of non-stationary bias in scaling by square root of time: Implications for Value-at-Risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 272-289, July.
    11. Peter F. Christoffersen & Francis X. Diebold, 1998. "How Relevant is Volatility Forecasting for Financial Risk Management?," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-080, New York University, Leonard N. Stern School of Business-.
    12. Amy S. K. Wong, 2006. "Basel II and the Risk Management of Basket Options with Time-Varying Correlations," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    13. Odening, Martin & Hinrichs, Jan, 2002. "Assessment Of Market Risk In Hog Production Using Value-At-Risk And Extreme Value Theory," 2002 Annual meeting, July 28-31, Long Beach, CA 19907, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Mark R. Manfredo & Raymond M. Leuthold, 1998. "Agricultural Applications of Value-at-Risk Analysis: A Perspective," Finance 9805002, University Library of Munich, Germany.
    15. Th'eophile Griveau-Billion & Ben Calderhead, 2019. "A Dynamic Bayesian Model for Interpretable Decompositions of Market Behaviour," Papers 1904.08153, arXiv.org, revised Jan 2020.
    16. Kam Fong Chan & Christopher Gan & Patricia A. McGraw, 2003. "A Hedging Strategy for New Zealand’s Exporters in Transaction Exposure to Currency Risk," Multinational Finance Journal, Multinational Finance Journal, vol. 7(1-2), pages 25-54, March-Jun.
    17. Wang, Jying-Nan & Du, Jiangze & Hsu, Yuan-Teng, 2018. "Measuring long-term tail risk: Evaluating the performance of the square-root-of-time rule," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 120-138.
    18. Peter F. Christoffersen & Francis X. Diebold & Til Schuermann, 1998. "Horizon problems and extreme events in financial risk management," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Oct), pages 109-118.
    19. Wang, Jying-Nan & Yeh, Jin-Huei & Cheng, Nick Ying-Pin, 2011. "How accurate is the square-root-of-time rule in scaling tail risk: A global study," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1158-1169, May.
    20. Kavussanos, Manolis G. & Dimitrakopoulos, Dimitris N., 2011. "Market risk model selection and medium-term risk with limited data: Application to ocean tanker freight markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 258-268.
    21. Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman, 2019. "Bayesian Risk Forecasting for Long Horizons," Tinbergen Institute Discussion Papers 19-018/III, Tinbergen Institute.
    22. Simon Fritzsch & Maike Timphus & Gregor Weiss, 2021. "Marginals Versus Copulas: Which Account For More Model Risk In Multivariate Risk Forecasting?," Papers 2109.10946, arXiv.org.

  33. Francis X. Diebold & Til Schuermann, 1996. "Exact Maximum Likelihood Estimation of Observation-Driven Econometric Models," NBER Technical Working Papers 0194, National Bureau of Economic Research, Inc.

    Cited by:

    1. Martin Browning & Mette Ejrnaes & Javier Alvarez, 2006. "Modelling income processes with lots of heterogeneity," Economics Series Working Papers 285, University of Oxford, Department of Economics.
    2. Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2002. "Likelihood-based estimation of latent generalised ARCH structures," Economics Papers 2002-W19, Economics Group, Nuffield College, University of Oxford.
    3. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    4. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
    5. Bollerslev, Tim & Ole Mikkelsen, Hans, 1996. "Modeling and pricing long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 73(1), pages 151-184, July.

  34. Francis X. Diebold & Til Schuermann, 1993. "Exact maximum likelihood estimation of ARCH models," Working Papers 93-4, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Stefan Mittnik & Marc Paolella & Svetlozar Rachev, 1998. "Unconditional and Conditional Distributional Models for the Nikkei Index," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 5(2), pages 99-128, May.
    2. Francis X. Diebold & Jose A. Lopez, 1995. "Measuring Volatility Dynamics," NBER Technical Working Papers 0173, National Bureau of Economic Research, Inc.
    3. Eduardo Rossi, 2010. "Univariate GARCH models: a survey (in Russian)," Quantile, Quantile, issue 8, pages 1-67, July.

  35. Marc Saidenberg & Til Schuermann & May, "undated". "The New Basel Capital Accord and Questions for Research," Center for Financial Institutions Working Papers 03-14, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Ojo, Marianne, 2008. "Risk Management by the Basel Committee: Evaluating Progress made from the 1988 Basel Accord to Recent Developments," MPRA Paper 10051, University Library of Munich, Germany.
    2. Loriana Pelizzon & Stephen Schaefer, 2007. "Pillar 1 versus Pillar 2 under Risk Management," NBER Chapters, in: The Risks of Financial Institutions, pages 377-409, National Bureau of Economic Research, Inc.
    3. Loriana Pelizzon & Stephen Schaefer, 2005. "Pillar 1 vs. Pillar 2 Under Risk Management," NBER Working Papers 11666, National Bureau of Economic Research, Inc.
    4. Jean-Charles Rochet, 2004. "Rebalancing the three pillars of Basel II," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 7-21.
    5. Katherine Wyatt, 2004. "CP3's Standardized Approach for Credit Risk and Current Capital Requirements," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(2), pages 103-119, October.

  36. Til Schuermann & Melvyn Weeks, "undated". "Why You May Need Not Worry About Finite Sample Bias In Simulated Maximum Likelihood Estimation," Discussion Papers 94/18, Department of Economics, University of York.

    Cited by:

    1. Nerlove, Marc & Schuermann, Til, 1997. "Businessmen's Expectations Are Neither Rational nor Adaptive," ZEW Discussion Papers 97-01, ZEW - Leibniz Centre for European Economic Research.

Articles

  1. Til Schuermann, 2020. "Capital Adequacy Pre‐ and Postcrisis and the Role of Stress Testing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 87-105, October.

    Cited by:

    1. Małgorzata Iwanicz-Drozdowska & Krzysztof Jackowicz & Maciej Karczmarczyk, 2021. "“The Crooked Smile of TCR†: Banks’ Solvency and Restructuring Costs in the European Banking Industry," SAGE Open, , vol. 11(3), pages 21582440211, September.
    2. Paul Glasserman & Mike Li, 2022. "Should Bank Stress Tests Be Fair?," Papers 2207.13319, arXiv.org, revised May 2023.
    3. Iwanicz-Drozdowska, Małgorzata & Witkowski, Bartosz, 2022. "Regulation and supervision of the European banking industry. Does one size fit all?," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 113-129.
    4. Chen, Jiakai, 2022. "Market discipline and regulatory arbitrage: Evidence from ABCP liquidity guarantors," Journal of Banking & Finance, Elsevier, vol. 145(C).

  2. Gallardo, German Gutierrez & Schuermann, Til & Duane, Michael, 2016. "Stress testing convergence," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 9(1), pages 32-45, January.
    See citations under working paper version above.
  3. Ames, Mark & Schuermann, Til & Scott, Hal S., 2015. "Bank capital for operational risk: A tale of fragility and instability," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 8(3), pages 227-243, July.
    See citations under working paper version above.
  4. Schuermann, Til, 2014. "Stress testing banks," International Journal of Forecasting, Elsevier, vol. 30(3), pages 717-728.
    See citations under working paper version above.
  5. Duane, Michael & Schuermann, Til & Reynolds, Peter, 2013. "Stress testing bank profitability," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 7(1), pages 72-84, December.
    See citations under working paper version above.
  6. Viral V. Acharya & Hamid Mehran & Til Schuermann & Anjan V. Thakor, 2012. "Robust capital regulation," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 18(May).
    See citations under working paper version above.
  7. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 642-675, October.
    See citations under working paper version above.
  8. Evan Gatev & Til Schuermann & Philip E. Strahan, 2009. "Managing Bank Liquidity Risk: How Deposit-Loan Synergies Vary with Market Conditions," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 995-1020, March.
    See citations under working paper version above.
  9. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Rejoinder to comments on forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 703-715, October.

    Cited by:

    1. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    2. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2023. "Forecasting regional GDPs: a comparison with spatial dynamic panel data models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(4), pages 530-551, October.
    3. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    4. Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
    5. Barakchian , Seyed Mahdi, 2012. "Implications of Cointegration for Forecasting: A Review and an Empirical Analysis," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 7(1), pages 87-118, October.
    6. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    7. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi & Alessandro Rebucci, 2020. "A Counterfactual Economic Analysis of Covid-19 Using a Threshold Augmented Multi-Country Model," CESifo Working Paper Series 8588, CESifo.
    8. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    9. P�r Österholm, 2014. "Survey data and short-term forecasts of Swedish GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(2), pages 135-139, January.
    10. Garratt, Anthony & Lee, Kevin & Shields, Kalvinder, 2016. "Forecasting global recessions in a GVAR model of actual and expected output," International Journal of Forecasting, Elsevier, vol. 32(2), pages 374-390.
    11. Helmut Herwartz, 2011. "Forecast accuracy and uncertainty in applied econometrics: a recommendation of specific-to-general predictor selection," Empirical Economics, Springer, vol. 41(2), pages 487-510, October.
    12. Rudkin, Simon & Wong, Sen Min, 2015. "South East Asian Financial Linkages and the Changing Role of China: Insights from a Global VAR," MPRA Paper 65001, University Library of Munich, Germany.
    13. Martin Feldkircher & Florian Huber & Gary Koop & Michael Pfarrhofer, 2022. "APPROXIMATE BAYESIAN INFERENCE AND FORECASTING IN HUGE‐DIMENSIONAL MULTICOUNTRY VARs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1625-1658, November.
    14. Artha Hoxha, 2018. "Explaining the impact of the global financial crisis on European transition countries: a GVAR approach," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q2-18, pages 81-97.
    15. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    16. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
    17. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci & TengTeng Xu, 2012. "China’s Emergence in the World Economy and Business Cycles in Latin America," Staff Working Papers 12-32, Bank of Canada.
    18. Aromí, J. Daniel, 2019. "Medium term growth forecasts: Experts vs. simple models," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1085-1099.
    19. Huayi Yu, 2015. "The spillovers and heterogeneous responses of housing prices: a GVAR analysis of China's 35 major cities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 535-558, October.
    20. Corsi, Fulvio & Lillo, Fabrizio & Pirino, Davide & Trapin, Luca, 2018. "Measuring the propagation of financial distress with Granger-causality tail risk networks," Journal of Financial Stability, Elsevier, vol. 38(C), pages 18-36.
    21. Matthew Greenwood-Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2012. "International Linkages of the Korean Economy: The Global Vector Error-Correcting Macroeconometric Modelling Approach," Melbourne Institute Working Paper Series wp2012n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    22. Neil R. Ericsson & Erica L. Reisman, 2012. "Evaluating a Global Vector Autoregression for Forecasting," Working Papers 2012-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    23. Bengt Assarsson & Pär Österholm, 2015. "Do Swedish Consumer Confidence Indicators Do What They Are Intended to Do?," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 61(4), pages 391-404.
    24. Sona Benecka & Ludmila Fadejeva & Martin Feldkircher, 2018. "Spillovers from Euro Area Monetary Policy: A Focus on Emerging Europe," Working Papers 2018/2, Czech National Bank.
    25. Dovern, Jonas & Huber, Florian, 2015. "Global Prediction of Recessions," Working Papers 0585, University of Heidelberg, Department of Economics.
    26. Hjalmarsson, Erik & Österholm, Pär, 2017. "Households’ Mortgage-Rate Expectations: More Realistic than at First Glance?," Working Papers 2017:9, Örebro University, School of Business.
    27. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2012. "What drives oil prices? Emerging versus developed economies," Working Paper 2012/11, Norges Bank.
    28. Schnücker, A.M., 2019. "Penalized Estimation of Panel Vector Autoregressive Models," Econometric Institute Research Papers EI-2019-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. J. Wesley Burnett & Xueting Zhao, 2014. "Forecasting U.S. State-Level Carbon Dioxide Emissions," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 223-240, Winter.
    30. Dai, Hongyan & Xiao, Qin & Chen, Songlin & Zhou, Weihua, 2023. "Data-driven demand forecast for O2O operations: An adaptive hierarchical incremental approach," International Journal of Production Economics, Elsevier, vol. 259(C).
    31. Periklis Gogas & Theophilos Papadimitriou & Elvira Takli, 2013. "Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach," Economics Bulletin, AccessEcon, vol. 33(2), pages 1101-1115.
    32. Konstantinos Chisiridis & Kostas Mouratidis & Theodore Panagiotidis, 2020. "The North-South Divide, the Euro and the Worlds," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 147, Hellenic Observatory, LSE.
    33. Camehl, Annika & von Schweinitz, Gregor, 2023. "What explains international interest rate co-movement?," IWH Discussion Papers 3/2023, Halle Institute for Economic Research (IWH), revised 2023.
    34. Billstam, Maria & Frändén, Kristina & Samuelsson, Johan & Österholm, Pär, 2016. "Quasi-Real-Time Data of the Economic Tendency Survey," Working Papers 143, National Institute of Economic Research.
    35. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    36. M. Ege Yazgan & Serda Selin Ozturk, 2019. "Real Exchange Rates and the Balance of Trade: Does the J-curve Effect Really Hold?," Open Economies Review, Springer, vol. 30(2), pages 343-373, April.
    37. Florian Huber & Jesus Crespo-Cuaresma & Martin Feldkircher, 2014. "Forecasting with Bayesian Global Vector Autoregressions," ERSA conference papers ersa14p25, European Regional Science Association.
    38. George N. Apostolakis & Nikolaos Giannellis & Athanasios P. Papadopoulos, 2023. "Macro‐financial effects of monetary policy easing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 715-738, April.
    39. L. Vanessa Smith & Nori Tarui & Takashi Yamagata, 2020. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," ISER Discussion Paper 1093, Institute of Social and Economic Research, Osaka University.
    40. Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers 16994, C.E.P.R. Discussion Papers.
    41. Davide De Gaetano, 2018. "Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets," Mathematics, MDPI, vol. 6(3), pages 1-19, March.
    42. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    43. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    44. Tore Dubbert, 2022. "Stochastic debt sustainability analysis using time-varying fiscal reaction functions. An agnostic approach to fiscal forecasting," CQE Working Papers 10422, Center for Quantitative Economics (CQE), University of Muenster.
    45. Aristidou, Chrystalleni & Lee, Kevin & Shields, Kalvinder, 2022. "Fundamentals, regimes and exchange rate forecasts: Insights from a meta exchange rate model," Journal of International Money and Finance, Elsevier, vol. 123(C).
    46. Anthony Garratt & Kevin Lee & Kalvinder Shields, 2014. "Forecasting Global Recessions in a GVAR Model of Actual and Expected Output in the G7," Discussion Papers 2014/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    47. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    48. Fadejeva, Ludmila & Feldkircher, Martin & Reininger, Thomas, 2017. "International spillovers from Euro area and US credit and demand shocks: A focus on emerging Europe," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 1-25.
    49. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    50. Davide De Gaetano, 2017. "Forecasting With Garch Models Under Structural Breaks: An Approach Based On Combinations Across Estimation Windows," Departmental Working Papers of Economics - University 'Roma Tre' 0219, Department of Economics - University Roma Tre.
    51. Annari de Waal & Renee van Eyden, 2013. "The impact of economic shocks in the rest of the world on South Africa: Evidence from a global VAR," Working Papers 201328, University of Pretoria, Department of Economics.
    52. Kerstin Bernoth & Andreas Pick, 2009. "Forecasting the Fragility of the Banking and Insurance Sector," Discussion Papers of DIW Berlin 882, DIW Berlin, German Institute for Economic Research.
    53. Lukman Oyeyinka Oyelami & P.A. Olomola, 2016. "External shocks and macroeconomic responses in Nigeria: A global VAR approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1239317-123, December.
    54. Auer, Simone, 2019. "Monetary policy shocks and foreign investment income: Evidence from a large Bayesian VAR," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 142-166.
    55. Prasad S Bhattacharya & Dimitrios D Thomakos, 2011. "Improving forecasting performance by window and model averaging," CAMA Working Papers 2011-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    56. Moosa, Imad A. & Vaz, John J., 2016. "Cointegration, error correction and exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 21-34.
    57. Annari de Waal & Renee van Eyden, 2012. "Monetary policy and inflation in South Africa: A VECM augmented with foreign variables," Working Papers 201231, University of Pretoria, Department of Economics.
    58. Alizadeh Janvisloo , Mohammad Reza & Sherafatian-Jahromi , Reza, 2019. "Macroeconomic, International Linkage and Effects of External Shocks in Southeast Asian Emerging Economies," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(2), pages 205-230, April.
    59. Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
    60. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
    61. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Optimal Forecast under Structural Breaks," Working Papers 202208, University of California at Riverside, Department of Economics.
    62. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    63. Beechey, Meredith & Österholm, Pär, 2018. "Point versus Band Targets for Inflation," Working Papers 2018:8, Örebro University, School of Business.
    64. Angela Capolongo & Claudia Pacella, 2019. "Forecasting inflation in the euro area: countries matter!," Temi di discussione (Economic working papers) 1224, Bank of Italy, Economic Research and International Relations Area.
    65. Huang, Tao & Fildes, Robert & Soopramanien, Didier, 2019. "Forecasting retailer product sales in the presence of structural change," European Journal of Operational Research, Elsevier, vol. 279(2), pages 459-470.
    66. Graziano Moramarco, 2022. "Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers," Econometrics, MDPI, vol. 11(1), pages 1-29, December.
    67. Mr. Jorge I Canales Kriljenko & Mehdi Hosseinkouchack & Alexis Meyer-Cirkel, 2014. "Global Financial Transmission into Sub-Saharan Africa – A Global Vector Autoregression Analysis," IMF Working Papers 2014/241, International Monetary Fund.
    68. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.
    69. Annari de Waal & Renee van Eyden & Rangan Gupta, 2013. "Do we need a global VAR model to forecast inflation and output in South Africa?," Working Papers 201346, University of Pretoria, Department of Economics.
    70. Bo Jiang & Bruce Philp & Zhongmin Wu, 2018. "Macro stress testing in the banking system of China," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(4), pages 287-298, November.
    71. Ludmila Fadejeva & Martin Feldkircher & Thomas Reininger, 2014. "International Transmission of Credit Shocks: Evidence from Global Vector Autoregression Model," Working Papers 2014/05, Latvijas Banka.
    72. Razieh Zahedi & Asghar Shahmoradi & Ali Taiebnia, 2022. "The ever-evolving trade pattern: a global VAR approach," Empirical Economics, Springer, vol. 63(3), pages 1193-1218, September.
    73. Mr. Mauricio Vargas & Daniela Hess, 2019. "The Caribbean and its Linkages with the World: A GVAR Model Approach," IMF Working Papers 2019/256, International Monetary Fund.
    74. Shakirudeen Taiwo & Josine Uwilingiye, 2023. "New evidence on sources of macroeconomic fluctuations in sub‐Saharan African countries," African Development Review, African Development Bank, vol. 35(2), pages 181-197, June.
    75. Philippe Goulet Coulombe & Maximilian Gobel, 2021. "Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis," Working Papers 21-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    76. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.
    77. Bertrand Gruss, 2014. "After the Boom–Commodity Prices and Economic Growth in Latin America and the Caribbean," IMF Working Papers 2014/154, International Monetary Fund.
    78. Filipa Sá & Tomasz Wieladek, 2015. "Capital Inflows and the U.S. Housing Boom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 221-256, March.
    79. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    80. Logan Rangasamy, 2014. "Capital Flows: The South African Experience," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 551-566, December.
    81. Mohsen Khezri & Muhamed Zulkhibri & Reza Ghazal, 2019. "Regional Integration, Monetary Cooperation: Evidence from Global VAR Models for the Member States of the Shanghai Cooperation Organization," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 11(1-2), pages 65-79, January.
    82. Benecká, Soňa & Fadejeva, Ludmila & Feldkircher, Martin, 2020. "The impact of euro Area monetary policy on Central and Eastern Europe," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1310-1333.

  10. Frydman, Halina & Schuermann, Til, 2008. "Credit rating dynamics and Markov mixture models," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1062-1075, June.

    Cited by:

    1. Chateau, Jean-Pierre D., 2011. "Contribution à la réglementation de Bâle-3 : de la consistance interne du continuum du crédit commercial en marquant à la « valeur de modèle » le risque de crédit des engagements de crédit," L'Actualité Economique, Société Canadienne de Science Economique, vol. 87(4), pages 445-479, décembre.
    2. Bolano, Danilo & Berchtold, André, 2016. "General framework and model building in the class of Hidden Mixture Transition Distribution models," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 131-145.
    3. Wozabal, David & Hochreiter, Ronald, 2012. "A coupled Markov chain approach to credit risk modeling," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 403-415.
    4. T. Gärtner & S. Kaniovski & Y. Kaniovski, 2021. "Numerical estimates of risk factors contingent on credit ratings," Computational Management Science, Springer, vol. 18(4), pages 563-589, October.
    5. Surya, Budhi Arta, 2022. "Conditional multivariate distributions of phase-type for a finite mixture of Markov jump processes given observations of sample path," Journal of Multivariate Analysis, Elsevier, vol. 191(C).
    6. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5, pages 49-72.
    7. Chang, Charles & Fuh, Cheng-Der & Kao, Chu-Lan Michael, 2017. "Reading between the ratings: Modeling residual credit risk and yield overlap," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 114-135.
    8. Sumon Bhaumik & John S. Landon-Lane, 2007. "Directional Mobility of Ratings," William Davidson Institute Working Papers Series wp900, William Davidson Institute at the University of Michigan.
    9. Myriam Ben Ayed & Adel Karaa & Jean‐Luc Prigent, 2018. "Duration Models For Credit Rating Migration: Evidence From The Financial Crisis," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1870-1886, July.
    10. Bannier, Christina E. & Hirsch, Christian, 2009. "The economic function of credit rating agencies: what does the watchlist tell us?," Frankfurt School - Working Paper Series 124, Frankfurt School of Finance and Management.
    11. Puneet Pasricha & Dharmaraja Selvamuthu & Guglielmo D’Amico & Raimondo Manca, 2020. "Portfolio optimization of credit risky bonds: a semi-Markov process approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-14, December.
    12. D. V. Boreiko & Y. M. Kaniovski & G. Ch. Pflug, 2016. "Modeling dependent credit rating transitions: a comparison of coupling schemes and empirical evidence," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(4), pages 989-1007, December.
    13. Legrand D.F. Saint-Cyr & Laurent Piet, 2015. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Working Papers SMART 15-06, INRAE UMR SMART.
    14. Voß, Sebastian & Weißbach, Rafael, 2014. "A score-test on measurement errors in rating transition times," Journal of Econometrics, Elsevier, vol. 180(1), pages 16-29.
    15. Oliver Blümke, 2022. "Multiperiod default probability forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 677-696, July.
    16. Hill, Paula & Brooks, Robert & Faff, Robert, 2010. "Variations in sovereign credit quality assessments across rating agencies," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1327-1343, June.
    17. Xing, Haipeng & Sun, Ning & Chen, Ying, 2012. "Credit rating dynamics in the presence of unknown structural breaks," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 78-89.
    18. Wai Choi Lee & Jianfu Shen & Tsun Se Cheong & Michal Wojewodzki, 2021. "Detecting conflicts of interest in credit rating changes: a distribution dynamics approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-23, December.
    19. Frederick DUBE & Brian BARNARD, 2019. "Equity Valuation based on a Random Process Modelling of Earnings and Equity Growth," Expert Journal of Economics, Sprint Investify, vol. 7(1), pages 1-31.
    20. D. V. Boreiko & Y. M. Kaniovski & G. Ch. Pflug, 2017. "Numerical Modeling of Dependent Credit Rating Transitions with Asynchronously Moving Industries," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 499-516, March.
    21. Areski Cousin & J'er^ome Lelong & Tom Picard, 2021. "Rating transitions forecasting: a filtering approach," Papers 2109.10567, arXiv.org, revised Jun 2023.
    22. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    23. Tsaig, Yaakov & Levy, Amnon & Wang, Yashan, 2011. "Analyzing the impact of credit migration in a portfolio setting," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3145-3157.
    24. Dmitri Boreiko & Serguei Kaniovski & Yuri Kaniovski & Georg Ch. Pflug, 2018. "Business Cycles and Conditional Credit-Rating Migration Matrices," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 1-19, December.
    25. Greig Smith & Goncalo dos Reis, 2017. "Robust and Consistent Estimation of Generators in Credit Risk," Papers 1702.08867, arXiv.org, revised Oct 2017.
    26. Saint-Cyr, Legrand D. F. & Piet, Laurent, 2014. "Movers and Stayers in the Farming Sector: Another Look at Heterogeneity in Structural Change," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183068, European Association of Agricultural Economists.
    27. Mariusz Górajski & Dobromił Serwa & Zuzanna Wośko, 2019. "Measuring expected time to default under stress conditions for corporate loans," Empirical Economics, Springer, vol. 57(1), pages 31-52, July.
    28. Marius Pfeuffer & Goncalo dos Reis & Greig smith, 2018. "Capturing Model Risk and Rating Momentum in the Estimation of Probabilities of Default and Credit Rating Migrations," Papers 1809.09889, arXiv.org, revised Feb 2020.
    29. Zhehao Huang & Zhenghui Li & Zhenzhen Wang, 2020. "Utility Indifference Valuation for Defaultable Corporate Bond with Credit Rating Migration," Mathematics, MDPI, vol. 8(11), pages 1-26, November.
    30. Johannes Hörner & Nicolas S Lambert, 2021. "Motivational Ratings [Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 1892-1935.
    31. Chan, Ngai Hang & Wong, Hoi Ying & Zhao, Jing, 2012. "Structural model of credit migration," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3477-3490.
    32. Amira Abid & Fathi Abid, 2024. "Sovereign Credit Risk in Saudi Arabia, Morocco and Egypt," JRFM, MDPI, vol. 17(7), pages 1-20, July.
    33. Mizen, Paul & Tsoukas, Serafeim, 2012. "Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model," International Journal of Forecasting, Elsevier, vol. 28(1), pages 273-287.
    34. Weißbach, Rafael & Mollenhauer, Thomas, 2011. "Modelling Rating Transitions," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48698, Verein für Socialpolitik / German Economic Association.
    35. Budhi Surya, 2021. "A new class of conditional Markov jump processes with regime switching and path dependence: properties and maximum likelihood estimation," Papers 2107.07026, arXiv.org.
    36. Dorfleitner, G. & Priberny, C., 2013. "A quantitative model for structured microfinance," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(1), pages 12-22.
    37. May, Anthony D., 2010. "The impact of bond rating changes on corporate bond prices: New evidence from the over-the-counter market," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2822-2836, November.
    38. Brian BARNARD, 2018. "Rating Migration and Bond Valuation: Ahistorical Interest Rate and Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 6(1), pages 16-30.
    39. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5(1), pages 49-72.
    40. Stepankova, Barbora & Teply, Petr, 2023. "Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 154(C).
    41. Camilla Ferretti & Giampaolo Gabbi & Piero Ganugi & Pietro Vozzella, 2016. "Rating Trajectories and Credit Risk Migration: Evidence for SMEs," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1615, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    42. Figlewski, Stephen & Frydman, Halina & Liang, Weijian, 2012. "Modeling the effect of macroeconomic factors on corporate default and credit rating transitions," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 87-105.
    43. Louis, Philippe & Van Laere, Elisabeth & Baesens, Bart, 2013. "Understanding and predicting bank rating transitions using optimal survival analysis models," Economics Letters, Elsevier, vol. 119(3), pages 280-283.
    44. Jeffrey R. Stokes, 2023. "A nonlinear inversion procedure for modeling the effects of economic factors on credit risk migration," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 855-878, October.
    45. Alexander Karminsky, 2016. "Rating models: emerging market distinctions," Papers 1607.02422, arXiv.org.
    46. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    47. Kemper, Kristopher J. & Mortenson, Kristian, 2020. "Procyclical ratings and market reactions," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    48. Chateau, John-Peter D., 2009. "Marking-to-model credit and operational risks of loan commitments: A Basel-2 advanced internal ratings-based approach," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 260-270, December.
    49. Michael Kalkbrener & Natalie Packham, 2024. "A Markov approach to credit rating migration conditional on economic states," Papers 2403.14868, arXiv.org.
    50. Michael K. Ng & Yuho Chung, 2012. "Double Mover–Stayer model on customer switching in telecommunications industry," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(8), pages 663-674, December.
    51. Dawen Yan & Xiaohui Zhang & Mingzheng Wang, 2021. "A robust bank asset allocation model integrating credit-rating migration risk and capital adequacy ratio regulations," Annals of Operations Research, Springer, vol. 299(1), pages 659-710, April.
    52. Saint-Cyr, Legrand D. F., 2016. "Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235778, Agricultural and Applied Economics Association.
    53. Ruichang Lu & Yao Luo & Ruli Xiao, 2023. "Estimation of misreporting probability in corporate credit rating: A nonparametric approach," International Studies of Economics, John Wiley & Sons, vol. 18(3), pages 260-276, September.
    54. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.
    55. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle," IJFS, MDPI, vol. 2(1), pages 1-22, March.

  11. Ashcraft, Adam B. & Schuermann, Til, 2008. "Understanding the Securitization of Subprime Mortgage Credit," Foundations and Trends(R) in Finance, now publishers, vol. 2(3), pages 191-309, June.
    See citations under working paper version above.
  12. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
    See citations under working paper version above.
  13. John Kambhu & Til Schuermann & Kevin J. Stiroh, 2007. "Hedge funds, financial intermediation, and systemic risk," Economic Policy Review, Federal Reserve Bank of New York, vol. 13(Dec), pages 1-18.
    See citations under working paper version above.
  14. Hanson, Samuel & Schuermann, Til, 2006. "Confidence intervals for probabilities of default," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2281-2301, August.

    Cited by:

    1. Orth, Walter, 2013. "Multi-period credit default prediction with time-varying covariates," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 214-222.
    2. Rodriguez, Adolfo & Trucharte, Carlos, 2007. "Loss coverage and stress testing mortgage portfolios: A non-parametric approach," Journal of Financial Stability, Elsevier, vol. 3(4), pages 342-367, December.
    3. Schechtman, Ricardo, 2013. "Default matrices: A complete measurement of banks’ consumer credit delinquency," Journal of Financial Stability, Elsevier, vol. 9(4), pages 460-474.
    4. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
    5. Mahlmann, Thomas, 2006. "Estimation of rating class transition probabilities with incomplete data," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3235-3256, November.
    6. Orth, Walter, 2011. "Multi-period credit default prediction with time-varying covariates," MPRA Paper 30507, University Library of Munich, Germany.
    7. Andreas Blöchlinger & Markus Leippold, 2011. "A New Goodness-of-Fit Test for Event Forecasting and Its Application to Credit Defaults," Management Science, INFORMS, vol. 57(3), pages 487-505, March.
    8. Oliver Blümke, 2020. "Estimating the probability of default for no‐default and low‐default portfolios," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(1), pages 89-107, January.
    9. García-Céspedes, Rubén & Moreno, Manuel, 2014. "Estimating the distribution of total default losses on the Spanish financial system," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 242-261.
    10. Oliver Blümke, 2022. "Multiperiod default probability forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 677-696, July.
    11. Janet Mitchell & Patrick Van Roy, 2007. "Failure prediction models : performance, disagreements, and internal rating systems," Working Paper Research 123, National Bank of Belgium.
    12. Jobst, Rainer & Kellner, Ralf & Rösch, Daniel, 2020. "Bayesian loss given default estimation for European sovereign bonds," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1073-1091.
    13. Verónica P. Rodríguez Vázquez & Japhet Hernández Vaquero, 2013. "Matriz de probabilidad de transición de microcréditos: el caso de una microfinanciera mexicana," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 28(1), pages 39-77.
    14. Kiefer, Nicholas M., 2009. "Correlated Defaults, Temporal Correlation, Expert Information and Predictability of Default Rates," Working Papers 09-12, Cornell University, Center for Analytic Economics.
    15. Yi-Ping Chang & Chih-Tun Yu, 2014. "Bayesian confidence intervals for probability of default and asset correlation of portfolio credit risk," Computational Statistics, Springer, vol. 29(1), pages 331-361, February.
    16. Walter Orth, 2013. "Default probability estimation in small samples--with an application to sovereign bonds," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1891-1902, December.
    17. Dmitriy Borzykh & Henry Penikas, 2021. "IRB PD model accuracy validation in the presence of default correlation: a twin confidence interval approach," Risk Management, Palgrave Macmillan, vol. 23(4), pages 282-300, December.
    18. Orth, Walter, 2011. "Default probability estimation in small samples - with an application to sovereign bonds," MPRA Paper 33778, University Library of Munich, Germany.
    19. Adam B. Ashcraft & Til Schuermann, 2008. "Understanding the securitization of subprime mortgage credit," Staff Reports 318, Federal Reserve Bank of New York.
    20. Andre Güttler & Peter Raupach, 2010. "The Impact of Downward Rating Momentum," Journal of Financial Services Research, Springer;Western Finance Association, vol. 37(1), pages 1-23, February.
    21. Smith, Brent C, 2011. "Stability in consumer credit scores: Level and direction of FICO score drift as a precursor to mortgage default and prepayment," Journal of Housing Economics, Elsevier, vol. 20(4), pages 285-298.
    22. T H Moon & S Y Sohn, 2011. "Survival analysis for technology credit scoring adjusting total perception," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1159-1168, June.
    23. Georges Dionne & Geneviève Gauthier & Khemais Hammami & Mathieu Maurice & Jean‐Guy Simonato, 2010. "Default Risk in Corporate Yield Spreads," Financial Management, Financial Management Association International, vol. 39(2), pages 707-731, June.
    24. O. de Bandt & N. Dumontaux & V. Martin & D. Médée, 2013. "Stress-testing banks’ corporate credit portfolio," Débats économiques et financiers 2, Banque de France.
    25. Nikola Tarashev, 2009. "Measuring portfolio credit risk correctly: why parameter uncertainty matters," BIS Working Papers 280, Bank for International Settlements.
    26. Lapshin, Viktor & Anton, Markov, 2022. "MCMC-based credit rating aggregation algorithm to tackle data insufficiency," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 50-72.
    27. Livingston, Miles & Naranjo, Andy & Zhou, Lei, 2008. "Split bond ratings and rating migration," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1613-1624, August.
    28. Jeffrey R. Stokes, 2023. "A nonlinear inversion procedure for modeling the effects of economic factors on credit risk migration," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 855-878, October.
    29. Alexander Karminsky, 2016. "Rating models: emerging market distinctions," Papers 1607.02422, arXiv.org.
    30. Güttler, André & Raupach, Peter, 2008. "The impact of downward rating momentum on credit portfolio risk," Discussion Paper Series 2: Banking and Financial Studies 2008,16, Deutsche Bundesbank.
    31. Steffi Höse & Stefan Huschens, 2011. "Confidence Intervals for Asset Correlations in the Asymptotic Single Risk Factor Model," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 111-116, Springer.
    32. Moon, Tae Hee & Sohn, So Young, 2008. "Technology scoring model for reflecting evaluator's perception within confidence limits," European Journal of Operational Research, Elsevier, vol. 184(3), pages 981-989, February.
    33. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.
    34. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle," IJFS, MDPI, vol. 2(1), pages 1-22, March.

  15. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    See citations under working paper version above.
  16. Rosenberg, Joshua V. & Schuermann, Til, 2006. "A general approach to integrated risk management with skewed, fat-tailed risks," Journal of Financial Economics, Elsevier, vol. 79(3), pages 569-614, March.
    See citations under working paper version above.
  17. Andrew Kuritzkes & Til Schuermann & Scott Weiner, 2005. "Deposit Insurance and Risk Management of the U.S. Banking System: What is the Loss Distribution Faced by the FDIC?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 27(3), pages 217-242, September.

    Cited by:

    1. Michael L. McIntyre, 2022. "Capital structure in an option-theoretic setting," SN Business & Economics, Springer, vol. 2(8), pages 1-24, August.
    2. IJtsma, Pieter & Spierdijk, Laura, 2017. "Systemic risk with endogenous loss given default," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 145-157.
    3. Martin CIHAK, 2007. "Systemic Loss: A Measure of Financial Stability (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(1-2), pages 5-26, March.
    4. Viral V. Acharya & Hamid Mehran & Til Schuermann & Anjan V. Thakor, 2012. "Robust capital regulation," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 18(May).
    5. Stone, Anna-Leigh, 2021. "Double the insurance, double the funds?," Journal of Banking & Finance, Elsevier, vol. 133(C).
    6. Jens H. E. Christensen & Jose A. Lopez & Glenn D. Rudebusch, 2014. "Do Central Bank Liquidity Facilities Affect Interbank Lending Rates?," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 136-151, January.
    7. Casavecchia, Lorenzo & Loudon, Geoffrey F. & Wu, Eliza, 2018. "What moves benchmark money market rates? Evidence from the BBSW market," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 137-154.
    8. McAndrews, James & Sarkar, Asani & Wang, Zhenyu, 2017. "The effect of the term auction facility on the London interbank offered rate," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 135-152.
    9. Sara Maccaferri & Jessica Cariboni & Wim Schoutens, 2013. "Levy Processes and the Financial Crisis: Can We Design a More Effective Deposit Protection?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 4(1), pages 5-28, January.
    10. Pilar Gómez-Fernández-Aguado & Antonio Partal-Ureña & Antonio Trujillo-Ponce, 2016. "A note on the adequacy of the EU scheme for bank recovery, resolution and deposit insurance in Spain," Journal of Banking Regulation, Palgrave Macmillan, vol. 17(4), pages 332-337, November.
    11. Fernández-Aguado, Pilar Gómez & Martínez, Eduardo Trigo & Ruíz, Rafael Moreno & Ureña, Antonio Partal, 2022. "Evaluation of European Deposit Insurance Scheme funding based on risk analysis," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 234-247.
    12. Nikola Tarashev & Claudio Borio & Kostas Tsatsaronis, 2009. "The systemic importance of financial institutions," BIS Quarterly Review, Bank for International Settlements, September.
    13. Dubecq, Simon & Monfort, Alain & Renne, Jean-Paul & Roussellet, Guillaume, 2016. "Credit and liquidity in interbank rates: A quadratic approach," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 29-46.
    14. Jones, Kenneth D. & Oshinsky, Robert C., 2009. "The effect of industry consolidation and deposit insurance reform on the resiliency of the U.S. bank insurance fund," Journal of Financial Stability, Elsevier, vol. 5(1), pages 57-88, January.
    15. Riccardo Lisa & Stefano Zedda & Francesco Vallascas & Francesca Campolongo & Massimo Marchesi, 2011. "Modelling Deposit Insurance Scheme Losses in a Basel 2 Framework," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(3), pages 123-141, December.
    16. Kusaya, Charles & O’Keefe, John P. & Ufier, Alexander B., 2023. "Bridging the gap from the current deposit insurance fund to a fund target," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 148-157.
    17. International Association of Deposit Insurers, 2018. "Deposit Insurance Fund Target Ratio," IADI Research Papers 18-07, International Association of Deposit Insurers.
    18. International Association of Deposit Insurers, 2020. "Evaluation of Differential Premium Systems for Deposit Insurance," IADI Research Papers 20-06, International Association of Deposit Insurers.
    19. Lee, Shih-Cheng & Lin, Chien-Ting & Tsai, Ming-Shann, 2015. "The pricing of deposit insurance in the presence of systematic risk," Journal of Banking & Finance, Elsevier, vol. 51(C), pages 1-11.
    20. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.

  18. Til Schuermann, 2005. "A review of recent books on credit risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 123-130.

    Cited by:

    1. Tawei Wang & Karthik N. Kannan & Jackie Rees Ulmer, 2013. "The Association Between the Disclosure and the Realization of Information Security Risk Factors," Information Systems Research, INFORMS, vol. 24(2), pages 201-218, June.

  19. Til Schuermann, 2004. "Why were banks better off in the 2001 recession?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 10(Jan).

    Cited by:

    1. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    2. Biao Mi & Liang Han, 2020. "Banking market concentration and syndicated loan prices," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 1-28, January.
    3. So Yeon Chun & Miguel A. Lejeune, 2020. "Risk-Based Loan Pricing: Portfolio Optimization Approach with Marginal Risk Contribution," Management Science, INFORMS, vol. 66(8), pages 3735-3753, August.
    4. Bessler, Wolfgang & Kurmann, Philipp & Nohel, Tom, 2015. "Time-varying systematic and idiosyncratic risk exposures of US bank holding companies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 45-68.
    5. Frederic S. Mishkin, 2006. "How Big a Problem is Too Big to Fail? A Review of Gary Stern and Ron Feldman's Too Big to Fail: The Hazards of Bank Bailouts," Journal of Economic Literature, American Economic Association, vol. 44(4), pages 988-1004, December.
    6. Berndt, Antje & Gupta, Anurag, 2009. "Moral hazard and adverse selection in the originate-to-distribute model of bank credit," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 725-743, July.
    7. Affinito, Massimiliano & Tagliaferri, Edoardo, 2010. "Why do (or did?) banks securitize their loans? Evidence from Italy," Journal of Financial Stability, Elsevier, vol. 6(4), pages 189-202, December.
    8. Hans J. Blommestein, 2006. "Visions about the Future of Banking," SUERF Studies, SUERF - The European Money and Finance Forum, number 2006/2 edited by Morten Balling, May.
    9. Calmès, Christian & Théoret, Raymond, 2020. "Bank fee-based shocks and the U.S. business cycle," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

  20. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    See citations under working paper version above.
  21. Jafry, Yusuf & Schuermann, Til, 2004. "Measurement, estimation and comparison of credit migration matrices," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2603-2639, November.

    Cited by:

    1. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Migration Analysis; Conditioning Transition Matrices on the Stage of the Business Cycle," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(2), pages 151-166, May.
    2. Siem Jan Koopman & André Lucas & André Monteiro, 2005. "The Multi-State Latent Factor Intensity Model for Credit Rating Transitions," Tinbergen Institute Discussion Papers 05-071/4, Tinbergen Institute, revised 04 Jul 2005.
    3. Kamphol Panyagometh & Gordon S. Roberts, 2010. "Do Lead Banks Exploit Syndicate Participants? Evidence from Ex Post Risk," Financial Management, Financial Management Association International, vol. 39(1), pages 273-299, March.
    4. Katja Pluto & Dirk Tasche, 2006. "Estimating Probabilities of Default for Low Default Portfolios," Springer Books, in: Bernd Engelmann & Robert Rauhmeier (ed.), The Basel II Risk Parameters, chapter 0, pages 79-103, Springer.
    5. Pastor Monsálvez José Manuel & Fernández de Guevara Radoselovics Juan & Salvador Muñoz Carlos, 2012. "Impact of the Subprime Crisis on Bank Ratings: The Effect of the Hardening of Rating Policies and Worsening of Solvency," Working Papers 2012120, Fundacion BBVA / BBVA Foundation.
    6. Kiefer, Nicholas M. & Larson, C. Erik, 2007. "A simulation estimator for testing the time homogeneity of credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 818-835, December.
    7. Biase di Giuseppe & Guglielmo D'Amico & Jacques Janssen & Raimondo Manca, 2014. "A Duration Dependent Rating Migration Model: Real Data Application and Cost of Capital Estimation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 233-245, June.
    8. María Hierro & Adolfo Maza, 2015. "From Discrete To Continuous-Time Transition Matrices In Intra-Distribution Dynamics Analysis: An Application To Per Capita Wealth In Europe," Bulletin of Economic Research, Wiley Blackwell, vol. 67(3), pages 227-235, July.
    9. Valerio Vacca, 2017. "An Unexpected Crisis? Looking at Pricing Effectiveness of Heterogeneous Banks," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 46(2), pages 171-206, July.
    10. Schechtman, Ricardo, 2013. "Default matrices: A complete measurement of banks’ consumer credit delinquency," Journal of Financial Stability, Elsevier, vol. 9(4), pages 460-474.
    11. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters, in: The Risks of Financial Institutions, pages 419-469, National Bureau of Economic Research, Inc.
    12. P. Lencastre & F. Raischel & P. G. Lind, 2014. "The effect of the number of states on the validity of credit ratings," Papers 1409.2661, arXiv.org.
    13. Yasunari Inamura, 2006. "Estimating Continuous Time Transition Matrices From Discretely Observed Data," Bank of Japan Working Paper Series 06-E-7, Bank of Japan.
    14. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
    15. Mahlmann, Thomas, 2006. "Estimation of rating class transition probabilities with incomplete data," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3235-3256, November.
    16. Ferretti Camilla, 2021. "Measurement of enterprise mobility among size classes, taking into account business demography," Statistics in Transition New Series, Statistics Poland, vol. 22(1), pages 55-73, March.
    17. Legrand D.F. Saint-Cyr & Laurent Piet, 2015. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Working Papers SMART 15-06, INRAE UMR SMART.
    18. Andre Monteiro & Georgi V. Smirnov & Andre Lucas, 2006. "Nonparametric Estimation for Non-Homogeneous Semi-Markov Processes: An Application to Credit Risk," Tinbergen Institute Discussion Papers 06-024/2, Tinbergen Institute, revised 27 Mar 2006.
    19. Guglielmo D'Amico & Filippo Petroni & Philippe Regnault & Stefania Scocchera & Loriano Storchi, 2019. "A copula based Markov Reward approach to the credit spread in European Union," Papers 1902.00691, arXiv.org.
    20. Tomislav Grebenar, 2018. "Behavioural Model of Assessment of Probability of Default and the Rating of Non-Financial Corporations," Working Papers 56, The Croatian National Bank, Croatia.
    21. Hill, Paula & Brooks, Robert & Faff, Robert, 2010. "Variations in sovereign credit quality assessments across rating agencies," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1327-1343, June.
    22. Xing, Haipeng & Sun, Ning & Chen, Ying, 2012. "Credit rating dynamics in the presence of unknown structural breaks," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 78-89.
    23. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    24. Tsaig, Yaakov & Levy, Amnon & Wang, Yashan, 2011. "Analyzing the impact of credit migration in a portfolio setting," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3145-3157.
    25. Giulio Bottazzi & Marco Grazzi & Angelo Secchi & Federico Tamagni, 2009. "Financial and economic determinants of firm default," LEM Papers Series 2009/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    26. Yi-Ping Chang & Chih-Tun Yu, 2014. "Bayesian confidence intervals for probability of default and asset correlation of portfolio credit risk," Computational Statistics, Springer, vol. 29(1), pages 331-361, February.
    27. Elena Kalotychou & Ana-Maria Fuertes, 2006. "On Sovereign Credit Migration: A Study of Alternative Estimators and Rating Dynamics," Computing in Economics and Finance 2006 509, Society for Computational Economics.
    28. Kadam, Ashay & Lenk, Peter, 2008. "Bayesian inference for issuer heterogeneity in credit ratings migration," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2267-2274, October.
    29. Areski Cousin & Mohamed Reda Kheliouen, 2016. "A comparative study on the estimation of factor migration models," Working Papers halshs-01351926, HAL.
    30. Kelly, Robert, 2011. "The Good, The Bad and The Impaired - A Credit Risk Model of the Irish Mortgage Market," Research Technical Papers 13/RT/11, Central Bank of Ireland.
    31. Ildiko Orban & Oday Tamimi, 2020. "Accounting Model for Impairment under IFRS 9 and its Impact on Loss Allowance," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1259-1277.
    32. Mariusz Górajski & Dobromił Serwa & Zuzanna Wośko, 2019. "Measuring expected time to default under stress conditions for corporate loans," Empirical Economics, Springer, vol. 57(1), pages 31-52, July.
    33. Koutras, Vasileios M. & Drakos, Konstantinos, 2013. "A migration approach for USA banks' capitalization: Are the 00s the same with the 90s?," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 131-140.
    34. Tom Duffy & Manos Hatzakis & Wenyue Hsu & Russ Labe & Bonnie Liao & Xiangdong (Sheldon) Luo & Je Oh & Adeesh Setya & Lihua Yang, 2005. "Merrill Lynch Improves Liquidity Risk Management for Revolving Credit Lines," Interfaces, INFORMS, vol. 35(5), pages 353-369, October.
    35. Simone Varotto, 2010. "Stress Testing Credit Risk: The Great Depression Scenario," ICMA Centre Discussion Papers in Finance icma-dp2010-03, Henley Business School, University of Reading.
    36. Zhang, Jingqiao & Avasarala, Viswanath & Subbu, Raj, 2010. "Evolutionary optimization of transition probability matrices for credit decision-making," European Journal of Operational Research, Elsevier, vol. 200(2), pages 557-567, January.
    37. Hanson, Samuel & Schuermann, Til, 2006. "Confidence intervals for probabilities of default," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2281-2301, August.
    38. Smith, Brent C, 2011. "Stability in consumer credit scores: Level and direction of FICO score drift as a precursor to mortgage default and prepayment," Journal of Housing Economics, Elsevier, vol. 20(4), pages 285-298.
    39. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2007. "Ratings-based credit risk modelling: An empirical analysis," International Review of Financial Analysis, Elsevier, vol. 16(5), pages 434-451.
    40. Ballis, Antonis & Drakos, Konstantinos, 2020. "A Markov Chain Analysis for Capitalization Dynamics in the Cryptocurrency Market," MPRA Paper 109329, University Library of Munich, Germany.
    41. Georges Dionne & Geneviève Gauthier & Khemais Hammami & Mathieu Maurice & Jean‐Guy Simonato, 2010. "Default Risk in Corporate Yield Spreads," Financial Management, Financial Management Association International, vol. 39(2), pages 707-731, June.
    42. Frydman, Halina & Schuermann, Til, 2008. "Credit rating dynamics and Markov mixture models," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1062-1075, June.
    43. Linda Möstel & Marius Pfeuffer & Matthias Fischer, 2020. "Statistical inference for Markov chains with applications to credit risk," Computational Statistics, Springer, vol. 35(4), pages 1659-1684, December.
    44. Stefan Truck, 2008. "Forecasting credit migration matrices with business cycle effects—a model comparison," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 359-379.
    45. Mustapha Ammari & Ghizlane Lakhnati, 2017. "Loss Given Default Estimating by the Conditional Minimum Value," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 779-785.
    46. Livingston, Miles & Naranjo, Andy & Zhou, Lei, 2008. "Split bond ratings and rating migration," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1613-1624, August.
    47. Jeffrey R. Stokes, 2023. "A nonlinear inversion procedure for modeling the effects of economic factors on credit risk migration," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 855-878, October.
    48. Tomáš Vaněk & David Hampel, 2017. "The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 759-776.
    49. Stefan Blochwitz & Marcus R. W. Martin & Carsten S. Wehn, 2006. "Statistical Approaches to PD Validation," Springer Books, in: Bernd Engelmann & Robert Rauhmeier (ed.), The Basel II Risk Parameters, chapter 0, pages 289-306, Springer.
    50. D’Amico, Guglielmo & Scocchera, Stefania & Storchi, Loriano, 2018. "Financial risk distribution in European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 252-267.
    51. Anisa Caja & Frédéric Planchet, 2014. "Modeling Cycle Dependence in Credit Insurance," Risks, MDPI, vol. 2(1), pages 1-15, March.
    52. Rafael Weißbach & Patrick Tschiersch & Claudia Lawrenz, 2009. "Testing time-homogeneity of rating transitions after origination of debt," Empirical Economics, Springer, vol. 36(3), pages 575-596, June.
    53. Saint-Cyr, Legrand D. F., 2016. "Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235778, Agricultural and Applied Economics Association.
    54. Barnhill, Theodore M. & Souto, Marcos Rietti, 2008. "Systemic bank risk in Brazil: an assessment of correlated market, credit, sovereign and inter-bank risk in an environment with stochastic volatilities and correlations," Discussion Paper Series 2: Banking and Financial Studies 2008,13, Deutsche Bundesbank.
    55. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.
    56. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle," IJFS, MDPI, vol. 2(1), pages 1-22, March.

  22. Bangia, Anil & Diebold, Francis X. & Kronimus, Andre & Schagen, Christian & Schuermann, Til, 2002. "Ratings migration and the business cycle, with application to credit portfolio stress testing," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 445-474, March.
    See citations under working paper version above.
  23. Gershberg, Alec Ian & Schuermann, Til, 2001. "The efficiency-equity trade-off of schooling outcomes: public education expenditures and welfare in Mexico," Economics of Education Review, Elsevier, vol. 20(1), pages 27-40, February.

    Cited by:

    1. Colegrave, Andrew D. & Giles, Margaret J., 2008. "School cost functions: A meta-regression analysis," Economics of Education Review, Elsevier, vol. 27(6), pages 688-696, December.
    2. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.

  24. Francis X. Diebold & Til Schuermann & John D. Stroughair, 2000. "Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 1(2), pages 30-35, January.
    See citations under working paper version above.
  25. Peter F. Christoffersen & Francis X. Diebold & Til Schuermann, 1998. "Horizon problems and extreme events in financial risk management," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Oct), pages 109-118.
    See citations under working paper version above.

Chapters

  1. Evan Gatev & Til Schuermann & Philip Strahan, 2007. "How Do Banks Manage Liquidity Risk? Evidence from the Equity and Deposit Markets in the Fall of 1998," NBER Chapters, in: The Risks of Financial Institutions, pages 105-127, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  2. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters, in: The Risks of Financial Institutions, pages 419-469, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

Books

  1. Mariano,Roberto & Schuermann,Til & Weeks,Melvyn J. (ed.), 2000. "Simulation-based Inference in Econometrics," Cambridge Books, Cambridge University Press, number 9780521591126, October.

    Cited by:

    1. Peter C.B. Phillips & Jun Yu, 2007. "Simulation-based Estimation of Contingent-claims Prices," Cowles Foundation Discussion Papers 1596, Cowles Foundation for Research in Economics, Yale University.
    2. Christian Belzil & Arnaud Maurel & Modibo Sidibé, 2021. "Estimating the Value of Higher Education Financial Aid: Evidence from a Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 39(2), pages 361-395.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Vicky Fasen‐Hartmann & Sebastian Kimmig, 2020. "Robust estimation of stationary continuous‐time arma models via indirect inference," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 620-651, September.
    5. Arvanitis Stelios & Demos Antonis, 2018. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-38, January.
    6. Nathalie Havet, 2006. "La valorisation salariale et professionnelle de la formation en entreprise diffère-t-elle selon le sexe ? : l’exemple canadien," Working Papers 0602, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    7. Pablo Mitnik & Sunyoung Baek, 2013. "The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation," Statistical Papers, Springer, vol. 54(1), pages 177-192, February.
    8. Creel, Michael & Kristensen, Dennis, 2011. "Indirect Likelihood Inference," Dynare Working Papers 8, CEPREMAP.
    9. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    10. Samuel Hurtado, 2013. "DSGE Models and the Lucas critique," Working Papers 1310, Banco de España.
    11. Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.
    12. DEMOS Antonis, & KYRIAKOPOULOU Dimitra,, 2018. "Finite sample theory and bias correction of maximum likelihood estimators in the EGARCH model," LIDAM Discussion Papers CORE 2018007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
    14. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    15. Anindya Ghose & Sang Pil Han, 2009. "A Dynamic Structural Model of User Learning in Mobile Media Content," Working Papers 09-24, NET Institute, revised Oct 2009.
    16. Avdis, Efstathios & Wachter, Jessica A., 2017. "Maximum likelihood estimation of the equity premium," Journal of Financial Economics, Elsevier, vol. 125(3), pages 589-609.
    17. Rousselière, Damien & Rousselière, Samira, 2010. "On the impact of trust on consumer willingness to purchase GM food:Evidence from a European survey," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 91(1).
    18. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016. "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers 16-075/III, Tinbergen Institute.
    19. Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
    20. Gould, Brian W. & Yen, Steven T., 2002. "Food Demand In Mexico: A Quasi-Maximum Likelihood Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19667, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Mohnen, Pierre & Roeller, Lars-Hendrik, 2003. "Complementarities in Innovation Policy," Research Memorandum 025, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    22. Jun Yu, 2009. "Econometric Analysis of Continuous Time Models : A Survey of Peter Phillips’ Work and Some New Results," Microeconomics Working Papers 23046, East Asian Bureau of Economic Research.
    23. Sumeetpal S. Singh & Nicolas Chopin & Nick Whiteley, 2010. "Bayesian Learning of Noisy Markov Decision Processes," Working Papers 2010-36, Center for Research in Economics and Statistics.
    24. Bauwens, Luc & Veredas, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.
    25. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2014. "A Simple Method to Estimate the Roles of Learning, Inventories and Category Consideration in Consumer Choice," Economics Papers 2014-W01, Economics Group, Nuffield College, University of Oxford.
    26. Peter Winker & Manfred Gilli & Vahidin Jeleskovic, 2007. "An objective function for simulation based inference on exchange rate data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 125-145, December.
    27. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    28. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
    29. Vázquez Pérez, Jesús & María-Dolores, Ramón & Londoño Yarce, Juan Miguel, 2012. "The Effect of Data Revisions on the Basic New Keynesian Model," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    30. Peter C.B. Phillips, 2011. "Folklore Theorems, Implicit Maps and New Unit Root Limit Theory," Cowles Foundation Discussion Papers 1781, Cowles Foundation for Research in Economics, Yale University.
    31. Hielke Buddelmeyer & Kenneth Troske, 2004. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Econometric Society 2004 North American Winter Meetings 334, Econometric Society.
    32. Giorgio Calzolari & Laura Neri, 2010. "The Method of Simulated Scores for Estimating Multinormal Regression Models with Missing Values," Econometrics Working Papers Archive wp2010_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    33. Fowler, Stuart J. & Fowler, Jennifer J. & Seagraves, Philip A. & Beauchamp, Charles F., 2018. "A fundamentalist theory of real estate market outcomes," Economic Modelling, Elsevier, vol. 73(C), pages 295-305.
    34. Liang Jiang & Xiaohu Wang & Jun Yu, 2014. "On Bias in the Estimation of Structural Break Points," Working Papers 22-2014, Singapore Management University, School of Economics.
    35. Christian Gouriéroux & Peter C. B. Phillips & Jun Yu, 2006. "Indirect Inference for Dynamic Panel Models," Development Economics Working Papers 22421, East Asian Bureau of Economic Research.
    36. Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2009. "Do institutional changes affect business cycles? Evidence from Europe," Economics Working Papers 1158, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2012.
    37. David J. Lewis & Andrew J. Plantinga, 2007. "Policies for Habitat Fragmentation: Combining Econometrics with GIS-Based Landscape Simulations," Land Economics, University of Wisconsin Press, vol. 83(2), pages 109-127.
    38. Jacob Grazzini & Matteo Richiardi & Lisa Sella, 2012. "Indirect estimation of agent-based models.An application to a simple diffusion model," LABORatorio R. Revelli Working Papers Series 118, LABORatorio R. Revelli, Centre for Employment Studies.
    39. Peter C.B. Philips & Yangru Wu & Jun Yu, 2009. "Explosive Behavior in the 1990s Nasdaq : When Did Exuberance Escalate Asset Values?," Finance Working Papers 23050, East Asian Bureau of Economic Research.
    40. María-Dolores, Ramon & Vázquez, Jesús & Londoño, Juan M., 2009. "On the informational role of term structure in the US monetary policy rule," UMUFAE Economics Working Papers 4699, DIGITUM. Universidad de Murcia.
    41. Xiaojin Sun & Kwok Ping Tsang, 2018. "The impact of monetary policy on local housing markets: Do regulations matter?," Empirical Economics, Springer, vol. 54(3), pages 989-1015, May.
    42. Michael P. Keane & Susan Thorp, 2016. "Complex Decision Making: The Roles of Cognitive Limitations, Cognitive Decline and Ageing," Economics Papers 2016-W10, Economics Group, Nuffield College, University of Oxford.
    43. Canova, Fabio & Ciccarelli, Matteo, 2012. "ClubMed? Cyclical fluctuations in the Mediterranean basin," Journal of International Economics, Elsevier, vol. 88(1), pages 162-175.
    44. Stelios Arvanitis & Antonis Demos, 2013. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Estimators (Extended Revised Appendix)," DEOS Working Papers 1330, Athens University of Economics and Business, revised 28 Jun 2013.
    45. Kruse, Yves Robinson & Kaufmann, Hendrik, 2015. "Bias-corrected estimation in mildly explosive autoregressions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112897, Verein für Socialpolitik / German Economic Association.
    46. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
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