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Peter Sarlin

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.

Working papers

  1. Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.

    Cited by:

    1. Ahmet Murat Ozbayoglu & Mehmet Ugur Gudelek & Omer Berat Sezer, 2020. "Deep Learning for Financial Applications : A Survey," Papers 2002.05786, arXiv.org.
    2. Agarwal, Arvind & Gupta, Aparna & Kumar, Arun & Tamilselvam, Srikanth G., 2019. "Learning risk culture of banks using news analytics," European Journal of Operational Research, Elsevier, vol. 277(2), pages 770-783.
    3. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    4. Oet, Mikhail V. & Gramlich, Dieter & Sarlin, Peter, 2016. "Evaluating measures of adverse financial conditions," Journal of Financial Stability, Elsevier, vol. 27(C), pages 234-249.

  2. Sarlin, Peter & Laina, Patrizio & Nyholm, Juho, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Working Paper Series 1758, European Central Bank.

    Cited by:

    1. Kalatie, Simo & Laakkonen, Helinä & Tölö, Eero, 2015. "Indicators used in setting the countercyclical capital buffer," Bank of Finland Research Discussion Papers 8/2015, Bank of Finland.
    2. Tomas Havranek & Mojmir Hampl, 2017. "Should Inflation Measures Used by Central Banks Incorporate House Prices? The Czech National Bank's Approach," Research and Policy Notes 2017/01, Czech National Bank, Research and Statistics Department.
    3. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    4. Sarlin, Peter & Holopainen, Markus, 2016. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Working Paper Series 1900, European Central Bank.
    5. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager, 2016. "Systemic early warning systems for EU15 based on the 2008 crisis," Working Papers 202, Bank of Greece.
    6. Lang, Jan Hannes & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "A framework for early-warning modeling with an application to banks," Working Paper Series 2182, European Central Bank.
    7. Hodula Martin & Pfeifer Lukáš, 2018. "Fiscal-Monetary-Financial Stability Interactions in a Data-Rich Environment," Review of Economic Perspectives, Sciendo, vol. 18(3), pages 195-224, September.
    8. Karsten Staehr & Lenno Uusküla, 2020. "Macroeconomic and macro-financial factors as leading indicators of non-performing loans," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(3), pages 720-740, February.
    9. Mikel Bedayo & Ángel Estrada & Jesús Saurina, 2018. "Bank capital, lending booms, and busts. Evidence from Spain in the last 150 years," Working Papers 1847, Banco de España.
    10. Ons Jedidi & Jean-Sébastien Pentecôte, 2015. "Prédire les crises bancaires : un système d’alerte robuste," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 189-225.
    11. Mojmír Hampl and Tomáš Havránek, 2017. "Should monetary policy pay attention to house prices? The Czech National Bank’s approach," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential policy frameworks, implementation and relationships with other policies, volume 94, pages 129-140, Bank for International Settlements.
    12. Manmohan Agarwal & T. R. Vandana, 2022. "Crises cambiais na América Latina, Leste Asiático e Rússia," Brazilian Journal of Political Economy, FGV EAESP, vol. 42(2), pages 263-282, May.
    13. Zhi-Qiang Jiang & Gang-Jin Wang & Askery Canabarro & Boris Podobnik & Chi Xie & H. Eugene Stanley & Wei-Xing Zhou, 2016. "Short term prediction of extreme returns based on the recurrence interval analysis," Papers 1610.08230, arXiv.org.
    14. Ruoxi Zhang & Xue Li & Satish Chand, 2019. "An Early Warning Of An Impending Currency Crisis In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(05), pages 1101-1125, December.
    15. Constantin, Andreea & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "Network linkages to predict bank distress," Journal of Financial Stability, Elsevier, vol. 35(C), pages 226-241.
    16. Da Wang & YingXue Zhou, 2024. "An innovative machine learning workflow to research China’s systemic financial crisis with SHAP value and Shapley regression," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-40, December.
    17. Mojmir Hampl & Tomas Havranek, 2017. "Should Inflation Measures Used by Central Banks Incorporate House Prices? The Czech Approach," Working Papers IES 2017/12, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2017.
    18. Mohammad Karimi & Marcel‐Cristian Voia, 2019. "Empirics of currency crises: A duration analysis approach," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 428-449, July.
    19. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.
    20. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    21. Varda Sardana & Shubham Singhania & Amiya Kumar Mohapatra, 2025. "Macroeconomic Perspectives in Banking: A Systematic Review and Conceptual Framework," South Asian Journal of Business and Management Cases, , vol. 14(2), pages 87-105, August.
    22. Nyholm, Juho & Voutilainen, Ville, 2021. "Quantiles of growth: Household debt and growth vulnerabilities in Finland," BoF Economics Review 2/2021, Bank of Finland.
    23. 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.
    24. Piotr Bańbuła & Marcin Pietrzak, 2021. "Early Warning Models of Banking Crises: VIX and High Profits," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(4), pages 381-403, December.
    25. Marcin Pietrzak, 2021. "Can Financial Soundness Indicators Help Predict Financial Sector Distress?," IMF Working Papers 2021/197, International Monetary Fund.
    26. Maria Teresa Medeiros Garcia & Simão Rodrigues Abreu, 2024. "Banking stability determinants: evidence from Portugal," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(2), pages 160-178, June.
    27. Bedayo, Mikel & Estrada, Ángel & Saurina, Jesús, 2020. "Bank capital, lending booms, and busts: Evidence from Spain over the last 150 years," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    28. Torsten Wezel, 2019. "Conceptual Issues in Calibrating the Basel III Countercyclical Capital Buffer," IMF Working Papers 2019/086, International Monetary Fund.
    29. 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.
    30. Cristina Pereira Pedro & Joaquim J. S. Ramalho & Jacinto Vidigal Silva, 2018. "The main determinants of banking crises in OECD countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(1), pages 203-227, February.
    31. Jan Bruha & Michal Hlavacek & Lubos Komarek, 2017. "House Prices and Household Consumption: The Case of the Czech Republic," Working Papers 2017/11, Czech National Bank, Research and Statistics Department.
    32. Eero Tölö & Helinä Laakkonen & Simo Kalatie, 2018. "Evaluating Indicators for Use in Setting the Countercyclical Capital Buffer," International Journal of Central Banking, International Journal of Central Banking, vol. 14(2), pages 51-112, March.
    33. Koong, Seow Shin & Law, Siong Hook & Ibrahim, Mansor H., 2017. "Credit expansion and financial stability in Malaysia," Economic Modelling, Elsevier, vol. 61(C), pages 339-350.
    34. CIMPOERU Smaranda, 2016. "European Economies Facing The Global Financial Crisis: Are Emerging Economies More Vulnerable Than Advanced Ones?," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 68(2), pages 69-85, September.
    35. Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.
    36. Junyi Shi, 2020. "Re-Measurement Of Short-Term International Capital Flows And Its Application: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(06), pages 1645-1665, December.

  3. John Dooley & Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong & Peter Sarlin, 2015. "Evaluating the Information Value for Measures of Systemic Conditions," Working Papers (Old Series) 1513, Federal Reserve Bank of Cleveland.

    Cited by:

    1. Mikhail V. Oet & John M. Dooley & Stephen J. Ong, 2015. "The Financial Stress Index: Identification of Systemic Risk Conditions," Risks, MDPI, vol. 3(3), pages 1-25, September.
    2. Mikhail V. Oet & John M. Dooley & Amanda C. Janosko & Dieter Gramlich & Stephen J. Ong, 2015. "Supervising System Stress in Multiple Markets," Risks, MDPI, vol. 3(3), pages 1-25, September.

  4. 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.

    Cited by:

    1. Tjeerd M. Boonman & Jan P. A. M. Jacobs & Gerard H. Kuper & Alberto Romero, 2019. "Early Warning Systems for Currency Crises with Real-Time Data," Open Economies Review, Springer, vol. 30(4), pages 813-835, September.
    2. Carlos León & Paolo Barucca & Oscar Acero & Gerardo Gage & Fabio Ortega, 2020. "Pattern recognition of financial institutions’ payment behavior," Borradores de Economia 1130, Banco de la Republica de Colombia.
    3. Behn, Markus & Detken, Carsten & Peltonen, Tuomas A. & Schudel, Willem, 2016. "Predicting vulnerabilities in the EU banking sector: the role of global and domestic factors," ESRB Working Paper Series 29, European Systemic Risk Board.
    4. John Dooley & Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong & Peter Sarlin, 2015. "Evaluating the Information Value for Measures of Systemic Conditions," Working Papers (Old Series) 1513, Federal Reserve Bank of Cleveland.
    5. Christian Menden & Christian R. Proaño, 2017. "Dissecting the financial cycle with dynamic factor models," IMK Working Paper 183-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    6. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," Working Papers halshs-03185520, HAL.
    7. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
    8. Piotr Bańbuła & Arkadiusz Kotuła & Agnieszka Paluch & Mateusz Pipień & Piotr Wdowiński, 2019. "Optimal level of capital in the Polish banking sector," NBP Working Papers 312, Narodowy Bank Polski.
    9. León, C. & Moreno, José Fernando & Cely, Jorge, 2017. "Whose Balance Sheet is this? Neural Networks for Banks' Pattern Recognition," Other publications TiSEM 75d8648e-9855-4c5c-9aa9-0, Tilburg University, School of Economics and Management.
    10. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," PSE Working Papers halshs-03185520, HAL.
    11. Iwanicz-Drozdowska Małgorzata & Kurowski Łukasz, 2021. "Keep your friends close and your enemies closer – the case of monetary policy and financial imbalances," German Economic Review, De Gruyter, vol. 22(4), pages 383-414, November.
    12. Eero Tölö & Helinä Laakkonen & Simo Kalatie, 2018. "Evaluating Indicators for Use in Setting the Countercyclical Capital Buffer," International Journal of Central Banking, International Journal of Central Banking, vol. 14(2), pages 51-112, March.

  5. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.

    Cited by:

    1. Paolo Giudici & Laura Parisi, 2016. "CoRisk: measuring systemic risk through default probability contagion," DEM Working Papers Series 116, University of Pavia, Department of Economics and Management.
    2. Paolo Giudici & Laura Parisi, 2017. "Sovereign risk in the Euro area: a multivariate stochastic process approach," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1995-2008, December.
    3. Mirna Dumičić, 2016. "Financial Stability Indicators – The Case of Croatia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 5(1), pages 113-140.
    4. Mirna Dumičić, 2015. "Financial Stability Indicators – the Case of Croatia," Working Papers 43, The Croatian National Bank, Croatia.
    5. Paolo Giudici & Laura Parisi, 2015. "Modeling Systemic Risk with Correlated Stochastic Processes," DEM Working Papers Series 110, University of Pavia, Department of Economics and Management.
    6. Juan Ángel Lafuente & Nuria Petit & Jesús Ruiz & Pedro Serrano, 2020. "Dissecting interbank risk using basis swap spreads," The World Economy, Wiley Blackwell, vol. 43(3), pages 729-757, March.
    7. Petit, Nuria & Serrano, Pedro & Lafuente Luengo, Juan Ángel, 2017. "Dissecting interbank risk," DEE - Working Papers. Business Economics. WB 24553, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.

  6. Samuel Ronnqvist & Peter Sarlin, 2014. "Bank Networks from Text: Interrelations, Centrality and Determinants," Papers 1406.7752, arXiv.org, revised Jul 2015.

    Cited by:

    1. Thomas Forss & Peter Sarlin, 2017. "News-sentiment networks as a risk indicator," Papers 1706.05812, arXiv.org, revised May 2018.
    2. Zhibin Niu & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2021. "Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks," Papers 2104.11863, arXiv.org.
    3. Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.
    4. Christopher Gerling, 2023. "Company2Vec -- German Company Embeddings based on Corporate Websites," Papers 2307.09332, arXiv.org.
    5. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    6. Fang, Yi & Lin, Hao & Lu, Liping, 2025. "Measuring systemic risk from textual Analysis: Evidence from Chinese Banks," International Review of Economics & Finance, Elsevier, vol. 103(C).
    7. Fang, Ming & Taylor, Stephen & Uddin, Ajim, 2022. "The network structure of overnight index swap rates," Finance Research Letters, Elsevier, vol. 46(PB).
    8. Zhibin Niu & Runlin Li & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2020. "iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans," Papers 2006.09542, arXiv.org, revised Aug 2020.
    9. Jingyu Li & Xiaoyan Yuan & Qiwei Xie & Guowen Li, 2026. "Homogeneity of corporate risk perceptions and systemic financial risk," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-16, December.
    10. Fang, Libing & Sun, Boyang & Li, Huijing & Yu, Honghai, 2018. "Systemic risk network of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 35(C), pages 190-206.
    11. Liu, Wei & Ma, Qianting & Liu, Xiaoxing, 2022. "Research on the dynamic evolution and its influencing factors of stock correlation network in the Chinese new energy market," Finance Research Letters, Elsevier, vol. 45(C).
    12. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.

  7. Peter Sarlin, 2014. "Macroprudential oversight, risk communication and visualization," Papers 1404.4550, arXiv.org, revised Jun 2014.

    Cited by:

    1. David Aikman & Michael T. Kiley & Seung Jung Lee & Michael G. Palumbo & Missaka Warusawitharana, 2015. "Mapping Heat in the U.S. Financial System," Finance and Economics Discussion Series 2015-59, Board of Governors of the Federal Reserve System (U.S.).
    2. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    3. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    4. Jozsef Mezei & Peter Sarlin, 2014. "Aggregation operators for the measurement of systemic risk," Papers 1412.5452, arXiv.org, revised Dec 2014.
    5. Constantin, Andreea & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "Network linkages to predict bank distress," Journal of Financial Stability, Elsevier, vol. 35(C), pages 226-241.
    6. Sarlin, Peter & Rönnqvist, Samuel, 2016. "Bank networks from text: interrelations, centrality and determinants," Working Paper Series 1876, European Central Bank.
    7. 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.
    8. Bholat, David & Broughton, Nida & Ter Meer, Janna & Walczak, Eryk, 2019. "Enhancing central bank communications using simple and relatable information," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 1-15.
    9. Peltonen, Tuomas A. & Sarlin, Peter & Rancan, Michela, 2015. "Interconnectedness of the banking sector as a vulnerability to crises," Working Paper Series 1866, European Central Bank.
    10. Samuel R�nnqvist & Peter Sarlin, 2015. "Bank networks from text: interrelations, centrality and determinants," Quantitative Finance, Taylor & Francis Journals, vol. 15(10), pages 1619-1635, October.
    11. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.

  8. Jozsef Mezei & Peter Sarlin, 2014. "Aggregation operators for the measurement of systemic risk," Papers 1412.5452, arXiv.org, revised Dec 2014.

    Cited by:

    1. Carlos León & Clara Machado & Andrés Murcia, 2016. "Assessing Systemic Importance With a Fuzzy Logic Inference System," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 121-153, January.

  9. Samuel Ronnqvist & Peter Sarlin, 2013. "From Text to Bank Interrelation Maps," Papers 1306.3856, arXiv.org.

    Cited by:

    1. Peter Sarlin, 2014. "Macroprudential oversight, risk communication and visualization," Papers 1404.4550, arXiv.org, revised Jun 2014.

  10. Betz, Frank & Oprica, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2013. "Predicting distress in European banks," Working Paper Series 1597, European Central Bank.

    Cited by:

    1. Doaa Hafez Emam Abdellattif & Amina Ramadan Mouhamed Nomer & Dalida Mohamed Adel Eldawayaty, 2025. "Sustainability Risk Management and Financial Distress: The Moderating Role of Financial Performance in Saudi Firms," Sustainability, MDPI, vol. 17(21), pages 1-37, October.
    2. Jean-Armand Gnagne & Kevin Moran, 2020. "Forecasting Bank Failures in a Data-Rich Environment," Working Papers 20-13, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    3. Kalatie, Simo & Laakkonen, Helinä & Tölö, Eero, 2015. "Indicators used in setting the countercyclical capital buffer," Bank of Finland Research Discussion Papers 8/2015, Bank of Finland.
    4. Daniel O. Beltran & Mohammad R. Jahan-Parvar & Fiona A. Paine, 2021. "Optimizing Credit Gaps for Predicting Financial Crises: Modelling Choices and Tradeoffs," International Finance Discussion Papers 1307, Board of Governors of the Federal Reserve System (U.S.).
    5. Theophilos Papadimitriou & Periklis Gogas & Anna Agrapetidou, 2022. "The resilience of the U.S. banking system," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2819-2835, July.
    6. Giada Adelfio & Arianna Agosto & Marcello Chiodi & Paolo Giudici, 2021. "Financial contagion through space-time point processes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 665-688, June.
    7. Sarlin, Peter & Ramsay, Bruce A., 2014. "Ending over-lending: Assessing systemic risk with debt to cash flow," Bank of Finland Research Discussion Papers 11/2014, Bank of Finland.
    8. Frederik Mergaerts & Rudi Vander Vennet, 2015. "Business Models And Their Impact On Bank Performance: A Long-Term Perspective," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/908, Ghent University, Faculty of Economics and Business Administration.
    9. Wanke, Peter & Azad, M.D. Abul Kalam & Barros, C.P., 2016. "Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 485-498.
    10. Gaston Giordana & Michael H. Ziegelmeyer, 2022. "Using household-level data to guide borrower-based macro-prudential policy," BCL working papers 161, Central Bank of Luxembourg.
    11. António Antunes & Diana Bonfim & Nuno Monteiro & Paulo M.M. Rodrigues, 2016. "Forecasting banking crises with dynamic panel probit models," Working Papers w201613, Banco de Portugal, Economics and Research Department.
    12. Carmassi, Jacopo & Dobkowitz, Sonja & Evrard, Johanne & Parisi, Laura & Silva, André & Wedow, Michael, 2018. "Completing the Banking Union with a European Deposit Insurance Scheme: who is afraid of cross-subsidisation?," Occasional Paper Series 208, European Central Bank.
    13. Qiongbing Wu & Rebel A. Cole, 2024. "Macroeconomic conditions and bank failure," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1212-1234, August.
    14. Paolo Giudici & Laura Parisi, 2016. "Bail in or Bail out? The Atlante example from a systemic risk perspective," DEM Working Papers Series 124, University of Pavia, Department of Economics and Management.
    15. Lainà, Patrizio & Nyholm, Juho & Sarlin, Peter, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, Elsevier, vol. 24(C), pages 18-35.
    16. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    17. Mergaerts, Frederik & Vander Vennet, Rudi, 2016. "Business models and bank performance: A long-term perspective," Journal of Financial Stability, Elsevier, vol. 22(C), pages 57-75.
    18. Bro de Comères, Quentin, 2025. "Predicting European banks distress events: Do financial information producers matter?," International Review of Financial Analysis, Elsevier, vol. 105(C).
    19. Swain, Pankaj & Misra, Arun Kumar & Kumar, Satish & Madhavan, Vinodh, 2026. "Banking on the brink: An incremental cost-based view of financial stress," Research in International Business and Finance, Elsevier, vol. 81(C).
    20. Taoushianis, Zenon, 2025. "Bankruptcy prediction with fractional polynomial transformation of financial ratios," European Journal of Operational Research, Elsevier, vol. 327(2), pages 690-702.
    21. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
    22. Gerhardt, Maria & Vennet, Rudi Vander, 2017. "Bank bailouts in Europe and bank performance," Finance Research Letters, Elsevier, vol. 22(C), pages 74-80.
    23. Kenth Skogsvik & Stina Skogsvik & Henrik Andersson, 2023. "Bankruptcy Risk in Discounted Cash Flow Equity Valuation," JRFM, MDPI, vol. 16(11), pages 1-18, November.
    24. Buckmann, Marcus & Gallego Marquez, Paula & Gimpelewicz, Mariana & Kapadia, Sujit & Rismanchi, Katie, 2023. "The more the merrier? Evidence on the value of multiple requirements in bank regulation," Journal of Banking & Finance, Elsevier, vol. 149(C).
    25. Islam, Raisul & Volkov, Vladimir, 2020. "Calm before the storm: an early warning approach before and during the COVID-19 crisis," Working Papers 2020-09, University of Tasmania, Tasmanian School of Business and Economics.
    26. Saad Alsunbul & Basim Alzugaiby & Sajid Chaudhry & Rhada Boujlil, 2024. "The fatter the tail, the shorter the sail," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 331-380, March.
    27. Paola Cerchiello & Giancarlo Nicola & Samuel Rönnqvist & Peter Sarlin, 2017. "Deep Learning Bank Distress from News and Numerical Financial Data," DEM Working Papers Series 140, University of Pavia, Department of Economics and Management.
    28. Barucci, Emilio & Baviera, Roberto & Milani, Carlo, 2016. "Is the Comprehensive Assessment able to capture banks’ risks?," Finance Research Letters, Elsevier, vol. 19(C), pages 98-104.
    29. Andrea Flori & Simone Giansante & Claudia Girardone & Fabio Pammolli, 2021. "Banks’ business strategies on the edge of distress," Annals of Operations Research, Springer, vol. 299(1), pages 481-530, April.
    30. Basim Alzugaiby & Jairaj Gupta & Andrew Mullineux & Rizwan Ahmed, 2021. "Relevance of size in predicting bank failures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3504-3543, July.
    31. 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.
    32. 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.
    33. 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.
    34. Gamze Ozturk Danisman & Amine Tarazi, 2020. "Financial Inclusion and Bank Stability: Evidence from Europe," Working Papers hal-02624355, HAL.
    35. Stelios Markoulis & Panagiotis Ioannou & Spiros Martzoukos, 2023. "Bank distress in the European Union 2008–2015: A closer look at capital, size and revenue diversification," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 792-820, January.
    36. J'ozsef Mezei & Peter Sarlin, 2016. "RiskRank: Measuring interconnected risk," Papers 1601.06204, arXiv.org.
    37. Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.
    38. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    39. Paolo Giudici & Laura Parisi, 2016. "CoRisk: measuring systemic risk through default probability contagion," DEM Working Papers Series 116, University of Pavia, Department of Economics and Management.
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    Cited by:

    1. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," IWH Discussion Papers 2/2019, Halle Institute for Economic Research (IWH).
    2. 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.
    3. Daniel O. Beltran & Mohammad R. Jahan-Parvar & Fiona A. Paine, 2021. "Optimizing Credit Gaps for Predicting Financial Crises: Modelling Choices and Tradeoffs," International Finance Discussion Papers 1307, Board of Governors of the Federal Reserve System (U.S.).
    4. Sarlin, Peter & Ramsay, Bruce A., 2014. "Ending over-lending: Assessing systemic risk with debt to cash flow," Bank of Finland Research Discussion Papers 11/2014, Bank of Finland.
    5. Samuel Ronnqvist & Peter Sarlin, 2014. "Bank Networks from Text: Interrelations, Centrality and Determinants," Papers 1406.7752, arXiv.org, revised Jul 2015.
    6. Alessi, Lucia & Detken, Carsten, 2014. "On policymakers’ loss functions and the evaluation of early warning systems: Comment," Economics Letters, Elsevier, vol. 124(3), pages 338-340.
    7. Lainà, Patrizio & Nyholm, Juho & Sarlin, Peter, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, Elsevier, vol. 24(C), pages 18-35.
    8. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    9. Bro de Comères, Quentin, 2025. "Predicting European banks distress events: Do financial information producers matter?," International Review of Financial Analysis, Elsevier, vol. 105(C).
    10. Spelta, A. & Flori, A. & Pecora, N. & Pammolli, F., 2021. "Financial crises: Uncovering self-organized patterns and predicting stock markets instability," Journal of Business Research, Elsevier, vol. 129(C), pages 736-756.
    11. Sarlin, Peter & Holopainen, Markus, 2016. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Working Paper Series 1900, European Central Bank.
    12. Paola Cerchiello & Giancarlo Nicola & Samuel Rönnqvist & Peter Sarlin, 2017. "Deep Learning Bank Distress from News and Numerical Financial Data," DEM Working Papers Series 140, University of Pavia, Department of Economics and Management.
    13. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    14. Dieckelmann, Daniel, 2020. "Cross-border lending and the international transmission of banking crises," Discussion Papers 2020/13, Free University Berlin, School of Business & Economics.
    15. J'ozsef Mezei & Peter Sarlin, 2016. "RiskRank: Measuring interconnected risk," Papers 1601.06204, arXiv.org.
    16. Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.
    17. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    18. André K. Anundsen & Frank Hansen & Karsten Gerdrup & Kasper Kragh-Sørensen, 2014. "Bubbles and crises: The role of house prices and credit," Working Paper 2014/14, Norges Bank.
    19. Behn, Markus & Detken, Carsten & Peltonen, Tuomas A. & Schudel, Willem, 2016. "Predicting vulnerabilities in the EU banking sector: the role of global and domestic factors," ESRB Working Paper Series 29, European Systemic Risk Board.
    20. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2016. "Use of unit root methods in early warning of financial crises," Bank of Finland Research Discussion Papers 27/2016, Bank of Finland.
    21. Mugrabi, Farah & Rünstler, Gerhard, 2025. "Housing and Credit Cycles in Ireland," Research Technical Papers 16/RT/25, Central Bank of Ireland.
    22. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2018. "Can bubble theory foresee banking crises?," Journal of Financial Stability, Elsevier, vol. 36(C), pages 66-81.
    23. Sarlin, Peter & von Schweinitz, Gregor, 2015. "Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?," IWH Discussion Papers 6/2015, Halle Institute for Economic Research (IWH).
    24. Knut Are Aastveit & Andr K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Papers No 8/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    25. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    26. Yuichiro Ito & Tomiyuki Kitamura & Koji Nakamura & Takashi Nakazawa, 2014. "New Financial Activity Indexes: Early Warning System for Financial Imbalances in Japan," Bank of Japan Working Paper Series 14-E-7, Bank of Japan.
    27. Zsuzsanna Hosszu & Gergely Lakos, 2022. "Early Warning Performance of Univariate Credit-to-GDP Gaps," MNB Occasional Papers 2022/142, Magyar Nemzeti Bank (Central Bank of Hungary).
    28. Diptes C. P. Bhimjee, 2022. "Adaptive Early Warning Systems: An Axiomatic Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 145-164.
    29. Voutilainen, Ville, 2017. "Wavelet decomposition of the financial cycle: An early warning system for financial tsunamis," Bank of Finland Research Discussion Papers 11/2017, Bank of Finland.
    30. 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.
    31. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    32. Quentin Bro de Comères, 2022. "Predicting European Banks Distress Events: Do Financial Information Producers Matter?," Working Papers hal-03752678, HAL.
    33. Zhi-Qiang Jiang & Gang-Jin Wang & Askery Canabarro & Boris Podobnik & Chi Xie & H. Eugene Stanley & Wei-Xing Zhou, 2016. "Short term prediction of extreme returns based on the recurrence interval analysis," Papers 1610.08230, arXiv.org.
    34. Ruoxi Zhang & Xue Li & Satish Chand, 2019. "An Early Warning Of An Impending Currency Crisis In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(05), pages 1101-1125, December.
    35. Orsolya Csortos & Zoltán Szalai, 2013. "Assessment of macroeconomic imbalance indicators," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 8(3), pages 14-24, October.
    36. Constantin, Andreea & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "Network linkages to predict bank distress," Journal of Financial Stability, Elsevier, vol. 35(C), pages 226-241.
    37. 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).
    38. von Schweinitz, Gregor & Sarlin, Peter, 2015. "Signaling Crises: How to Get Good Out-of-Sample Performance Out of the Early Warning System," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112964, Verein für Socialpolitik / German Economic Association.
    39. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    40. Detken, Carsten & Peltonen, Tuomas A. & Schudel, Willem & Behn, Markus, 2013. "Setting countercyclical capital buffers based on early warning models: would it work?," Working Paper Series 1604, European Central Bank.
    41. Stijn Ferrari & Mara Pirovano & Wanda Cornacchia, 2015. "Identifying early warning indicators for real estate-related banking crises," ESRB Occasional Paper Series 08, European Systemic Risk Board.
    42. Sarlin, Peter & Rönnqvist, Samuel, 2016. "Bank networks from text: interrelations, centrality and determinants," Working Paper Series 1876, European Central Bank.
    43. 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.
    44. 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).
    45. Behn, Markus & Gross, Marco & Peltonen, Tuomas A., 2016. "Assessing the costs and benefits of capital-based macroprudential policy," ESRB Working Paper Series 17, European Systemic Risk Board.
    46. 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.
    47. Marcela Guachamín & Diana Ramírez‐Cifuentes & Olga Delgado, 2020. "An Uncertainty Thermometer to Measure the Macroeconomic‐Financial Risk in South American Countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(6), pages 854-890, August.
    48. Patrizio Lainà & Juho Nyholm & Peter Sarlin, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 18-35, January.
    49. 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).
    50. Boysen-Hogrefe, Jens & Gern, Klaus-Jürgen & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Plödt, Martin & Schwarzmüller, Tim & van Roye, Björn & Scheide, Joachim, 2014. "Finanz- und Wirtschaftspolitik bei einer anhaltenden monetären Expansion," Kieler Beiträge zur Wirtschaftspolitik 5, Kiel Institute for the World Economy.
    51. Peltonen, Tuomas A. & Sarlin, Peter & Rancan, Michela, 2015. "Interconnectedness of the banking sector as a vulnerability to crises," Working Paper Series 1866, European Central Bank.
    52. 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.
    53. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2017. "Use of unit root methods in early warning of financial crises," ESRB Working Paper Series 45, European Systemic Risk Board.
    54. Beltran, Daniel O. & Dalal, Vihar M. & Jahan-Parvar, Mohammad R. & Paine, Fiona A., 2024. "Optimizing composite early warning indicators," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    55. Gould, David M. & Melecky, Martin & Panterov, Georgi, 2016. "Finance, growth and shared prosperity: Beyond credit deepening," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 737-758.
    56. Felipe Clavijo Ramírez & Jorge Luis Hurtado Guarín & Oscar Fernando Jaulín Méndez & Javier Pirateque Niño, 2016. "El requerimiento de capital contracíclico en Colombia," Borradores de Economia 963, Banco de la Republica de Colombia.
    57. Andrés Alonso Robisco & José Manuel Carbó Martínez, 2022. "Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-35, December.
    58. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
    59. Oet, Mikhail V. & Gramlich, Dieter & Sarlin, Peter, 2016. "Evaluating measures of adverse financial conditions," Journal of Financial Stability, Elsevier, vol. 27(C), pages 234-249.
    60. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.
    61. Paolo Giudici & Peter Sarlin & Alessandro Spelta, 2016. "The multivariate nature of systemic risk: direct and common exposures," DEM Working Papers Series 118, University of Pavia, Department of Economics and Management.
    62. 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.
    63. Irma Alonso & Luis Molina, 2019. "The SHERLOC: an EWS-based index of vulnerability for emerging economies," Working Papers 1946, Banco de España.
    64. Lainà, Patrizio & Nyholm, Juho & Sarlin, Peter, 2014. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Bank of Finland Research Discussion Papers 14/2014, Bank of Finland.
    65. Mezei, József & Sarlin, Peter, 2018. "RiskRank: Measuring interconnected risk," Economic Modelling, Elsevier, vol. 68(C), pages 41-50.
    66. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.

  12. Peltonen, Tuomas A. & Sarlin, Peter, 2011. "Mapping the state of financial stability," Working Paper Series 1382, European Central Bank.

    Cited by:

    1. Oscar Claveria, 2017. "“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps”," AQR Working Papers 201707, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2017.
    2. Sarlin, Peter, 2013. "On policymakers' loss function and the evaluation of early warning systems," Working Paper Series 1509, European Central Bank.
    3. Sarlin, Peter & Ramsay, Bruce A., 2014. "Ending over-lending: Assessing systemic risk with debt to cash flow," Bank of Finland Research Discussion Papers 11/2014, Bank of Finland.
    4. Lainà, Patrizio & Nyholm, Juho & Sarlin, Peter, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, Elsevier, vol. 24(C), pages 18-35.
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Self-organizing map analysis of agents’ expectations. Different patterns of anticipation of the 2008 financial crisis”," AQR Working Papers 201508, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2015.
    6. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    7. Sarlin, Peter & Holopainen, Markus, 2016. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Working Paper Series 1900, European Central Bank.
    8. Peter Sarlin, 2014. "Macroprudential oversight, risk communication and visualization," Papers 1404.4550, arXiv.org, revised Jun 2014.
    9. Lang, Michael, 2013. "The early warnings of balance-of-payments problems: Kaminsky and Reinhart revisited," Frankfurt School - Working Paper Series 205, Frankfurt School of Finance and Management.
    10. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    11. Demir Caner & Cergibozan Raif, 2018. "Determinants of Patent Protection Regimes: A Self-Organizing Map Approach," Review of Economic Perspectives, Sciendo, vol. 18(3), pages 261-283, September.
    12. Zhibin Niu & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2021. "Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks," Papers 2104.11863, arXiv.org.
    13. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    14. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager, 2016. "Systemic early warning systems for EU15 based on the 2008 crisis," Working Papers 202, Bank of Greece.
    15. Barthélémy, Sylvain & Binet, Marie-Estelle & Pentecôte, Jean-Sébastien, 2020. "Worldwide economic recoveries from financial crises through the decades," Journal of International Money and Finance, Elsevier, vol. 105(C).
    16. Poli, Federica & Rossi, Simone & Borroni, Mariarosa, 2024. "Fall of dwarfs: micro and macroeconomic determinants of the disappearance of European small banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 96(C).
    17. Ons Jedidi & Jean-Sébastien Pentecôte, 2015. "Prédire les crises bancaires : un système d’alerte robuste," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 189-225.
    18. Zhibin Niu & Runlin Li & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2020. "iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans," Papers 2006.09542, arXiv.org, revised Aug 2020.
    19. Kauko, Karlo, 2014. "How to foresee banking crises? A survey of the empirical literature," Economic Systems, Elsevier, vol. 38(3), pages 289-308.
    20. Chiaramonte, Laura & Casu, Barbara, 2017. "Capital and liquidity ratios and financial distress. Evidence from the European banking industry," The British Accounting Review, Elsevier, vol. 49(2), pages 138-161.
    21. Sarlin, Peter, 2016. "Macroprudential oversight, risk communication and visualization," Journal of Financial Stability, Elsevier, vol. 27(C), pages 160-179.
    22. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    23. Peter Sarlin, 2016. "Visual Macroprudential Surveillance of Banks," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 257-264, October.
    24. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager & Etti Baranoff, 2017. "A ternary-state early warning system for the European Union," Working Papers 222, Bank of Greece.
    25. Marina Resta, 2016. "VaRSOM: A Tool to Monitor Markets' Stability Based on Value at Risk and Self‐Organizing Maps," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 47-64, January.
    26. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    27. 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.
    28. Patrizio Lainà & Juho Nyholm & Peter Sarlin, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 18-35, January.
    29. Peltonen, Tuomas A. & Sarlin, Peter & Rancan, Michela, 2015. "Interconnectedness of the banking sector as a vulnerability to crises," Working Paper Series 1866, European Central Bank.
    30. Kauko, Karlo, 2012. "External deficits and non-performing loans in the recent financial crisis," Economics Letters, Elsevier, vol. 115(2), pages 196-199.
    31. 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).
    32. 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.
    33. Kinsella, Stephen, 2019. "Visualising economic crises using accounting models," Accounting, Organizations and Society, Elsevier, vol. 75(C), pages 1-16.
    34. Adem Baltaci & Raif Cergibozan & Ali Ari, 2022. "Cultural values and the global financial crisis: a missing link?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 507-529, September.
    35. Borgy, Vladimir & Clerc, Laurent & Renne, Jean-Paul, 2014. "Measuring aggregate risk: Can we robustly identify asset-price boom–bust cycles?," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 132-150.
    36. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.
    37. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    38. Hyun Hak Kim, 2022. "A dynamic analysis of household debt using a self-organizing map," Empirical Economics, Springer, vol. 62(6), pages 2893-2919, June.
    39. Ahmad S. Al Humssi & Vladimir Z. Chapliuk & Larisa N. Sorokina & Liliya G. Akhmetshina, 2024. "Modelling the Impact of Macroeconomic Factors on Country’s Financial Stability: Evidence from the Russian Federation," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 62-81.
    40. Lainà, Patrizio & Nyholm, Juho & Sarlin, Peter, 2014. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Bank of Finland Research Discussion Papers 14/2014, Bank of Finland.
    41. Peter Sarlin & Zhiyuan Yao & Tomas Eklund, 2012. "A Framework For State Transitions On The Self‐Organizing Map: Some Temporal Financial Applications," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 189-203, July.
    42. Li, Rui & Li, Jianping & Zhu, Xiaoqian, 2025. "Downside belief disagreements and financial instability: Evidence from risk factor disclosures in U.S. financial institutions’ 10-K filings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
    43. Dungey, Mardi & Islam, Raisul & Volkov, Vladimir, 2020. "Crisis transmission: Visualizing vulnerability," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).

Articles

  1. Lainà, Patrizio & Nyholm, Juho & Sarlin, Peter, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, Elsevier, vol. 24(C), pages 18-35.
    See citations under working paper version above.
  2. Peter Sarlin & Shahrokh Nikou & József Mezei & Harry Bouwman, 2015. "Visual conjoint analysis (VCA): a topology of preferences in multi-attribute decision making," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 385-405, January.

    Cited by:

    1. Cranmer, Alexana & Broughel, Anna Ebers & Ericson, Jonathan & Goldberg, Mike & Dharni, Kira, 2023. "Getting to 30 GW by 2030: Visual preferences of coastal residents for offshore wind farms on the US East Coast," Energy Policy, Elsevier, vol. 173(C).

  3. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    See citations under working paper version above.
  4. Sarlin, Peter, 2013. "On policymakers’ loss functions and the evaluation of early warning systems," Economics Letters, Elsevier, vol. 119(1), pages 1-7. See citations under working paper version above.
  5. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    See citations under working paper version above.
  6. Peter Sarlin & Zhiyuan Yao & Tomas Eklund, 2012. "A Framework For State Transitions On The Self‐Organizing Map: Some Temporal Financial Applications," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 189-203, July.

    Cited by:

    1. Emma L. Schultz & David T. Tan & Kathleen D. Walsh, 2010. "Endogeneity and the corporate governance - performance relation," Australian Journal of Management, Australian School of Business, vol. 35(2), pages 145-163, August.

  7. Peter Sarlin, 2011. "Clustering the changing nature of currency crises in emerging markets: an exploration with self-organising maps," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 2(1), pages 24-46.

    Cited by:

    1. Marina Resta, 2016. "Enhancing Self‐Organizing Map Capabilities with Graph Clustering: An Application to Financial Markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 21-46, January.
    2. Marina Resta, 2016. "VaRSOM: A Tool to Monitor Markets' Stability Based on Value at Risk and Self‐Organizing Maps," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 47-64, January.

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