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Identifying excessive credit growth and leverage

Citations

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Cited by:

  1. Ferrari, Stijn & Pirovano, Mara, 2015. "Early warning indicators for banking crises: a conditional moments approach," MPRA Paper 62406, University Library of Munich, Germany.
  2. Dany-Knedlik, Geraldine & Kämpfe, Martina & Knedlik, Tobias, 2021. "The appropriateness of the macroeconomic imbalance procedure for Central and Eastern European Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 123-139.
  3. Piergiorgio Alessandri & Pierluigi Bologna & Maddalena Galardo, 2022. "Financial Crises, Macroprudential Policy and the Reliability of Credit-to-GDP Gaps," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 625-667, December.
  4. Mikkel Hermansen & Oliver Röhn, 2017. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Journal: Economic Studies, OECD Publishing, vol. 2016(1), pages 9-35.
  5. Geoffrey M. Ngene & Jinghua Wang, 2024. "Transitory and permanent shock transmissions between real estate investment trusts and other assets: Evidence from time‐frequency decomposition and machine learning," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 539-573, March.
  6. Ihejirika, Peters. O, 2020. "Does the Credit-to-GDP Gap Predict Financial Crisis in Nigeria?," International Journal of Social and Administrative Sciences, Asian Economic and Social Society, vol. 5(2), pages 109-126, June.
  7. Mathias Drehmann & James Yetman, 2021. "Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
  8. Schleer, Frauke & Semmler, Willi & Illner, Julian, 2014. "Overleveraging in the banking sector: Evidence from Europe," ZEW Discussion Papers 14-066, ZEW - Leibniz Centre for European Economic Research.
  9. Hinterlang, Natascha & Hollmayr, Josef, 2022. "Classification of monetary and fiscal dominance regimes using machine learning techniques," Journal of Macroeconomics, Elsevier, vol. 74(C).
  10. Aparicio, Juan & Duran, Miguel A. & Lozano-Vivas, Ana & Pastor, Jesus T., 2018. "Are charter value and supervision aligned? A segmentation analysis," Journal of Financial Stability, Elsevier, vol. 37(C), pages 60-73.
  11. Mathonnat, Clément & Minea, Alexandru, 2018. "Financial development and the occurrence of banking crises," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 344-354.
  12. Federica Ciocchetta & Wanda Cornacchia & Roberto Felici & Michele Loberto, 2016. "Assessing financial stability risks from the real estate market in Italy," Questioni di Economia e Finanza (Occasional Papers) 323, Bank of Italy, Economic Research and International Relations Area.
  13. Bochmann, Paul & Hiebert, Paul & Schüler, Yves & Segoviano, Miguel A., 2024. "Latent fragility: Conditioning banks' joint probability of default on the financial cycle," Journal of International Money and Finance, Elsevier, vol. 146(C).
  14. Pedro Guerra & Mauro Castelli, 2021. "Machine Learning Applied to Banking Supervision a Literature Review," Risks, MDPI, vol. 9(7), pages 1-24, July.
  15. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
  16. Jean-Charles Bricongne & Leonor Coutinho & Alessandro Turrini & Stefan Zeugner, 2020. "Is Private Debt Excessive?," Open Economies Review, Springer, vol. 31(2), pages 471-512, April.
  17. Marco Pagano & ESRB Advisory Scientific Committee, 2014. "Is Europe Overbanked?," mBank - CASE Seminar Proceedings 132, CASE-Center for Social and Economic Research.
  18. Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
  19. Karlo Kauko & Eero Tölö, 2019. "Banking Crisis Prediction with Differenced Relative Credit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 65(4), pages 277-297.
  20. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
  21. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," Working Papers halshs-03185520, HAL.
  22. Badarau, Cristina & Carias, Marcos & Figuet, Jean-Marc, 2020. "Cross-border spillovers of macroprudential policy in the Euro area," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 1-13.
  23. Waelchli Boris, 2016. "A proximity based macro stress testing framework," Dependence Modeling, De Gruyter, vol. 4(1), pages 1-26, November.
  24. Schleer Frauke & Semmler Willi, 2016. "Banking Overleveraging and Macro Instability: A Model and VSTAR Estimations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(6), pages 609-638, December.
  25. Łukasz Kurowski, 2021. "Financial cycle − A critical analysis of the methodology for its identification," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(3), pages 99-116.
  26. Ponomarenko, Alexey & Tatarintsev, Stas, 2023. "Incorporating financial development indicators into early warning systems," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
  27. Aitor Erce & Xu Jiang & Diana Zigraiova, 2020. "Quantifying Risks to Sovereign Market Access: Methods and Challenges," Globalization Institute Working Papers 377, Federal Reserve Bank of Dallas.
  28. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
  29. Mr. Andrew J Tiffin, 2019. "Machine Learning and Causality: The Impact of Financial Crises on Growth," IMF Working Papers 2019/228, International Monetary Fund.
  30. Klein, Paul-Olivier & Turk-Ariss, Rima, 2022. "Bank capital and economic activity," Journal of Financial Stability, Elsevier, vol. 62(C).
  31. Huynh, Tran & Uebelmesser, Silke, 2024. "Early warning models for systemic banking crises: Can political indicators improve prediction?," European Journal of Political Economy, Elsevier, vol. 81(C).
  32. Alessi, Lucia & Antunes, Antonio & Babecky, Jan & Baltussen, Simon & Behn, Markus & Bonfim, Diana & Bush, Oliver & Detken, Carsten & Frost, Jon & Guimaraes, Rodrigo & Havranek, Tomas & Joy, Mark & Kau, 2015. "Comparing different early warning systems: Results from a horse race competition among members of the Macro-prudential Research Network," MPRA Paper 62194, University Library of Munich, Germany.
  33. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
  34. Gerhard Rünstler & Marente Vlekke, 2018. "Business, housing, and credit cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 212-226, March.
  35. Ren, Xiaohang & Qin, Jianing & Jin, Chenglu & Yan, Cheng, 2022. "Global oil price uncertainty and excessive corporate debt in China," Energy Economics, Elsevier, vol. 115(C).
  36. Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2018. "Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
  37. repec:ecb:ecbdps:202113 is not listed on IDEAS
  38. Anna Burova, 2022. "Measuring the Debt Service Ratio in Russia: A Micro-Level Data Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 81(3), pages 72-88, September.
  39. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
  40. Zuzana Košťálová & Eva Horvátová & Štefan Lyócsa & Peter Gernát, 2022. "New Credit Drivers: Results from a Small Open Economy," Eastern European Economics, Taylor & Francis Journals, vol. 60(1), pages 79-112, January.
  41. Ekinci, Mehmet Fatih & Omay, Tolga, 2020. "Current account and credit growth: The role of household credit and financial depth," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  42. Berthonnaud, Pierre & Cesati, Enrico & Drudi, Maria Ludovica & Jager, Kirsten & Kick, Heinrich & Lanciani, Marcello & Schneider, Ludwig & Schwarz, Claudia & Siakoulis, Vasileios & Vroege, Robert, 2021. "Asset encumbrance in euro area banks: analysing trends, drivers and prediction properties for individual bank crises," Occasional Paper Series 261, European Central Bank.
  43. Marcus Buckmann & Andy Haldane & Anne-Caroline Hüser, 2021. "Comparing minds and machines: implications for financial stability," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 479-508.
  44. Jylhä, Petri & Lof, Matthijs, 2022. "Mind the Basel gap," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
  45. Tomas Ramanauskas & Skirmante Matkenaite & Virgilijus Rutkauskas, 2018. "Credit and money creation from the integrated accounts perspective," Bank of Lithuania Discussion Paper Series 5, Bank of Lithuania.
  46. Alvaro Fernandez-Gallardo & Ivan Paya, 2020. "Macroprudential Policy in the Euro Area," Working Papers 307121127, Lancaster University Management School, Economics Department.
  47. Alessandro Bitetto & Paola Cerchiello & Charilaos Mertzanis, 2021. "A data-driven approach to measuring financial soundness throughout the world," DEM Working Papers Series 199, University of Pavia, Department of Economics and Management.
  48. Kwon, Yujin & Park, Sung Y., 2023. "Modeling an early warning system for household debt risk in Korea: A simple deep learning approach," Journal of Asian Economics, Elsevier, vol. 84(C).
  49. Christian Castro & Ángel Estrada & Jorge Martínez, 2016. "The countercyclical capital buffer in spain: an analysis of key guiding indicators," Working Papers 1601, Banco de España.
  50. Levieuge, Grégory & Lucotte, Yannick & Pradines-Jobet, Florian, 2021. "The cost of banking crises: Does the policy framework matter?," Journal of International Money and Finance, Elsevier, vol. 110(C).
  51. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
  52. Pozo, Jorge, 2023. "The effects of countercyclical leverage buffers on macroeconomic and financial stability," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 194-217.
  53. Carlos Pérez Montes & Jorge E. Galán & María Bru & Julio Gálvez & Alberto García & Carlos González & Samuel Hurtado & Nadia Lavín & Eduardo Pérez Asenjo & Irene Roibás, 2023. "Marco de análisis sistémico del impacto de los riesgos económicos y financieros," Occasional Papers 2311, Banco de España.
  54. Hessler, Andrew, 2023. "Unobserved components model estimates of credit cycles: Tests and predictions," Journal of Financial Stability, Elsevier, vol. 66(C).
  55. Samo Boh & Stefano Borgioli & Andra (Buca) Coman & Bogdan Chiriacescu & Anne Koban & Joao Veiga & Piotr Kusmierczyk & Mara Pirovano & Thomas Schepens, 2017. "European Macroprudential Database," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.
  56. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
  57. Carmine Gabriele, 2019. "Learning from trees: A mixed approach to building early warning systems for systemic banking crises," Working Papers 40, European Stability Mechanism.
  58. Truong, Chi & Sheen, Jeffrey & Trück, Stefan & Villafuerte, James, 2022. "Early warning systems using dynamic factor models: An application to Asian economies," Journal of Financial Stability, Elsevier, vol. 58(C).
  59. Bolívar, Fernando & Duran, Miguel A. & Lozano-Vivas, Ana, 2023. "Business model contributions to bank profit performance: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 64(C).
  60. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  61. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2023. "Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach," Journal of International Economics, Elsevier, vol. 145(C).
  62. Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019. "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series 219, European Central Bank.
  63. Maria Ludovica Drudi & Stefano Nobili, 2021. "A liquidity risk early warning indicator for Italian banks: a machine learning approach," Temi di discussione (Economic working papers) 1337, Bank of Italy, Economic Research and International Relations Area.
  64. Anna Burova & Denis Koshelev & Natalia Makhankova, 2022. "Debt Service: Evidence Based on Consolidated Statements of Russian Companies," Bank of Russia Working Paper Series wps103, Bank of Russia.
  65. Mathias Drehmann & James Yetman, 2018. "Why you should use the Hodrick-Prescott filter - at least to generate credit gaps," BIS Working Papers 744, Bank for International Settlements.
  66. Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
  67. Sakiru Adebola Solarin & Muhammed Sehid Gorus & Onder Ozgur, 2024. "Modelling the economic effect of inbound birth tourism: a random forest algorithm approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4223-4240, October.
  68. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
  69. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.
  70. Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
  71. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," Discussion Papers 48/2018, Deutsche Bundesbank.
  72. Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
  73. Piotr Krajewski & Agata Szymanska, 2019. "The effectiveness of fiscal policy within business cycle-Ricardians vs. non-Ricardians approach," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(2), pages 195-215.
  74. Chokri Zehri & Zagros Madjd‐Sadjadi, 2024. "Capital flow management and monetary policy to control credit growth," Economics and Politics, Wiley Blackwell, vol. 36(2), pages 637-676, July.
  75. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
  76. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing Credit Gaps in CESEE Based on Levels Justified by Fundamentals – A Comparison Across Different Estimation Approaches (Mariarosaria Comunale, Markus Eller, Mathias Lahnsteiner)," Working Papers 229, Oesterreichische Nationalbank (Austrian Central Bank).
  77. 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.
  78. T. Bennani & C. Couaillier & A. Devulder & S. Gabrieli & J. Idier & P. Lopez & T. Piquard & V. Scalone, 2017. "An analytical framework to calibrate macroprudential policy," Working papers 648, Banque de France.
  79. C. Bora Durdu & Alex Martin & Ilknur Zer, 2020. "The Role of US Monetary Policy in Banking Crises Across the World," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(1), pages 66-107, March.
  80. Bräuning, Michael & Malikkidou, Despo & Scricco, Giorgio & Scalone, Stefano, 2019. "A new approach to Early Warning Systems for small European banks," Working Paper Series 2348, European Central Bank.
  81. Petropoulos, Anastasios & Siakoulis, Vasilis & Stavroulakis, Evangelos & Vlachogiannakis, Nikolaos E., 2020. "Predicting bank insolvencies using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1092-1113.
  82. Cuadros-Solas, Pedro Jesús & Salvador Muñoz, Carlos, 2022. "Disentangling the sources of sovereign rating adjustments: An examination of changes in rating policies following the GFC," Research in International Business and Finance, Elsevier, vol. 59(C).
  83. Mark Joy & Marek Rusnák & Kateřina Šmídková & Bořek Vašíček, 2017. "Banking and Currency Crises: Differential Diagnostics for Developed Countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 44-67, January.
  84. Paul-Olivier Klein & Rima Turk-Ariss, 2022. "Bank capital and economic activity," Post-Print hal-03955630, HAL.
  85. Sleibi, Yacoub & Casalin, Fabrizio & Fazio, Giorgio, 2020. "Bank-specific shocks and aggregate leverage: Empirical evidence from a panel of developed countries," Journal of Financial Stability, Elsevier, vol. 49(C).
  86. Adem Gök & Nihat Tak, 2023. "Dating Currency Crisis and Assessing the Determinants Based on Meta Fuzzy Index Functions," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1225-1250, March.
  87. Markus Holopainen & Peter Sarlin, 2017. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1933-1963, December.
  88. Marcin Borsuk & Konrad Kostrzewa, 2020. "Miary ryzyka systemowego dla Polski. Jak ryzyko systemowe wpływa na akcję kredytową banków?," Bank i Kredyt, Narodowy Bank Polski, vol. 51(3), pages 211-238.
  89. Aida Caldera Sánchez & Alain de Serres & Filippo Gori & Mikkel Hermansen & Oliver Röhn, 2017. "Strengthening economic resilience: Insights from the post-1970 record of severe recessions and financial crises," OECD Economic Policy Papers 20, OECD Publishing.
  90. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A risk management perspective on macroprudential policy," Working Paper Series 2556, European Central Bank.
  91. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2018. "Learning from History: Volatility and Financial Crises," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2774-2805.
  92. Lagoarde-Segot, Thomas & Paranque, Bernard, 2018. "Finance and sustainability: From ideology to utopia," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 80-92.
  93. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2019. "Climate Transition Risk, Climate Sentiments, and Financial Stability in a Stock-Flow Consistent approach," Ecological Economic Papers 23, WU Vienna University of Economics and Business.
  94. 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.
  95. Gimet, Céline & Lagoarde-Segot, Thomas & Reyes-Ortiz, Luis, 2019. "Financialization and the macroeconomy. Theory and empirical evidence," Economic Modelling, Elsevier, vol. 81(C), pages 89-110.
  96. Ali Awdeh, 2017. "The Determinants of Credit Growth in Lebanon," International Business Research, Canadian Center of Science and Education, vol. 10(2), pages 9-19, February.
  97. Carlos Pérez Montes & Jorge E. Galán & María Bru & Julio Gálvez & Alberto García & Carlos González & Samuel Hurtado & Nadia Lavín & Eduardo Pérez Asenjo & Irene Roibás, 2023. "Systemic analysis framework for the impact of economic and financial risks," Occasional Papers 2311, Banco de España.
  98. Hinterlang, Natascha & Hollmayr, Josef, 2020. "Classification of monetary and fiscal dominance regimes using machine learning techniques," Discussion Papers 51/2020, Deutsche Bundesbank.
  99. Claire-Océane Chevallier, 2017. "Empirical Investigation of the Effect of Bank Long Term Debt on Loans and Output in the Euro-zone," DEM Discussion Paper Series 17-04, Department of Economics at the University of Luxembourg.
  100. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," PSE Working Papers halshs-03185520, HAL.
  101. Jan K. Solarz, 2015. "Systemic Risk Management. Cognitive Perspective (Zarzadzanie ryzykiem systemu finansowego. Perspektywa poznawcza)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 13(55), pages 30-46.
  102. Fendel Ralf & Stremmel Hanno, 2016. "Characteristics of Banking Crises: A Comparative Study with Geographical Contagion," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 349-388, May.
  103. Ibáñez-Hernández, Francisco J. & Peña-Cerezo, Miguel A. & Araujo-de-la-Mata, Andrés, 2019. "Corporate governance and procyclicality in a banking crisis: Empirical evidence and implications," Finance Research Letters, Elsevier, vol. 30(C), pages 271-275.
  104. Alexandr Patalaha & Maria A. Shchepeleva, 2023. "Bank Crisis Management Policies and the New Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 43-60, December.
  105. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "On the efficient synthesis of short financial time series: A Dynamic Factor Model approach," Finance Research Letters, Elsevier, vol. 53(C).
  106. Marina Tiunova, 2019. "Commodity and Financial Cycles in Resource-based Economies," Russian Journal of Money and Finance, Bank of Russia, vol. 78(3), pages 38-70, September.
  107. Gernát, Peter & Košťálová, Zuzana & Lyócsa, Štefan, 2020. "What drives U.S. financial sector volatility? A Bayesian model averaging perspective," Research in International Business and Finance, Elsevier, vol. 51(C).
  108. Mohamed Albaity & Ray Saadaoui Mallek & Hussein A. Hassan Al‐Tamimi & Abu Hanifa Md. Noman, 2021. "Does competition lead to financial stability or financial fragility for Islamic and conventional banks? Evidence from the GCC countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4706-4722, July.
  109. Albaity, Mohamed & Noman, Abu Hanifa Md. & Saadaoui Mallek, Ray & Al-Shboul, Mohammad, 2022. "Cyclicality of bank credit growth: Conventional vs Islamic banks in the GCC," Economic Systems, Elsevier, vol. 46(1).
  110. Audit, Dooneshsingh & Alam, Nafis, 2022. "Why have credit variables taken centre stage in predicting systemic banking crises?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
  111. Zhang, Minqiang & Guo, Xiaomei & Lu, Xiaojian & Jiang, Yihuo, 2024. "Credit guarantee, financing structure, and firm ESG performance," Finance Research Letters, Elsevier, vol. 63(C).
  112. Ademmer, Martin & Beckmann, Joscha & Bode, Eckhardt & Boysen-Hogrefe, Jens & Funke, Manuel & Hauber, Philipp & Heidland, Tobias & Hinz, Julian & Jannsen, Nils & Kooths, Stefan & Söder, Mareike & Stame, 2021. "Big Data in der makroökonomischen Analyse," Kieler Beiträge zur Wirtschaftspolitik 32, Kiel Institute for the World Economy (IfW Kiel).
  113. Samo Boh & Stefano Borgioli & Anne Koban & Romain Calleja & Thomas Schepens, 2017. "Macroprudential database," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
  114. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
  115. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2021. "Climate sentiments, transition risk, and financial stability in a stock-flow consistent model," Journal of Financial Stability, Elsevier, vol. 54(C).
  116. de Moraes, Claudio Oliveira & Costa, Ágata, 2023. "Credit behavior and financial stability in an emerging economy," Economic Systems, Elsevier, vol. 47(2).
  117. Mary Chen & Matthew DeHaven & Isabel Kitschelt & Seung Jung Lee & Martin Sicilian, 2023. "Identifying Financial Crises Using Machine Learning on Textual Data," International Finance Discussion Papers 1374, Board of Governors of the Federal Reserve System (U.S.).
  118. Erhart, Szilard, 2019. "Exposition, climax, denouement: Life-cycle evaluation of the recent financial crisis in the EU by linking the ESRB financial crisis database to the European Commission's Macroeconomic Imbalance Proced," ESRB Working Paper Series 102, European Systemic Risk Board.
  119. Hinterlang, Natascha & Hollmayr, Josef, 2021. "Classification of monetary and fiscal dominance regimes using machine learning techniques," IMFS Working Paper Series 160, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
  120. Xianglong Liu, 2023. "Towards Better Banking Crisis Prediction: Could an Automatic Variable Selection Process Improve the Performance?," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 288-312, June.
  121. Ghosh, Saibal, 2023. "Does climate legislation matter for bank lending? Evidence from MENA countries," Ecological Economics, Elsevier, vol. 212(C).
  122. Bridges, Jonathan & Jackson, Christopher & McGregor, Daisy, 2017. "Down in the slumps: the role of credit in five decades of recessions," Bank of England working papers 659, Bank of England.
  123. Bowen Fu, 2019. "Bubbles and crises: Replicating the Anundsen et al. (2016) results," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 822-826, August.
  124. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
  125. Abd Samad, Khairunnisa & Mohd Daud, Siti Nurazira & Mohd Dali, Nuradli Ridzwan Shah, 2020. "Early Warning Indicators for Systemic Banking Crises: Household Debt and Property Prices," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(1), pages 121-134.
  126. Magnus Saß, 2024. "Detecting excessive credit growth: An approach based on structural counterfactuals," Berlin School of Economics Discussion Papers 0046, Berlin School of Economics.
  127. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
  128. Stijn Ferrari & Mara Pirovano, 2016. "Does one size fit all at all times? The role of country specificities and state dependencies in predicting banking crises," Working Paper Research 297, National Bank of Belgium.
  129. Ivan De Lorenzo Buratta, 2022. "Mind the Build-up: Quantifying Tail Risks for Credit Growth in Portugal," Working Papers w202207, Banco de Portugal, Economics and Research Department.
  130. Zhang, Lili & Yang, Dexiang & Guo, Yunfei, 2023. "Dual circulation development model and credit growth," Finance Research Letters, Elsevier, vol. 55(PA).
  131. V. Coudert & J. Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.
  132. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "Measuring financial soundness around the world: A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 85(C).
  133. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager, 2019. "Systemic early warning systems for EU14 based on the 2008 crisis: proposed estimation and model assessment for classification forecasting," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(3), pages 226-244, September.
  134. Mr. Plamen K Iossifov, 2021. "Cyclical Patterns of Systemic Risk Metrics: Cross-Country Analysis," IMF Working Papers 2021/028, International Monetary Fund.
  135. Pierluigi Bologna & Maddalena Galardo, 2024. "Calibrating the countercyclical capital buffer using AUROCs," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 53(1), February.
  136. Noman, Abu Hanifa Md. & Hassan, M. Kabir & Pervin, Sajeda & Isa, Che Ruhana & Sok-gee, Chan, 2022. "The mediating role of competition on deposit insurance and the risk-taking of banks in ASEAN countries," Research in International Business and Finance, Elsevier, vol. 59(C).
  137. Dichtl, Hubert & Drobetz, Wolfgang & Otto, Tizian, 2023. "Forecasting Stock Market Crashes via Machine Learning," Journal of Financial Stability, Elsevier, vol. 65(C).
  138. Jorge E. Galán & Javier Mencía, 2021. "Model-based indicators for the identification of cyclical systemic risk," Empirical Economics, Springer, vol. 61(6), pages 3179-3211, December.
  139. Pierluigi Bologna & Maddalena Galardo, 2022. "Calibrating the countercyclical capital buffer for Italy," Questioni di Economia e Finanza (Occasional Papers) 679, Bank of Italy, Economic Research and International Relations Area.
  140. Cabral, Inês & Detken, Carsten & Fell, John & Henry, Jérôme & Hiebert, Paul & Kapadia, Sujit & Pires, Fatima & Salleo, Carmelo & Constâncio, Vítor & Nicoletti Altimari, Sergio, 2019. "Macroprudential policy at the ECB: Institutional framework, strategy, analytical tools and policies," Occasional Paper Series 227, European Central Bank.
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