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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. 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.
    3. 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.
    4. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.

  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. 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.
    3. Mohammad Karimi & Marcel-Cristian Voia, 2019. "Empirics of currency crises: A duration analysis approach," Post-Print hal-03528952, HAL.
    4. 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.
    5. 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.
    6. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    7. 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.
    8. 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).
    9. 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.
    10. Sarlin, Peter & Holopainen, Markus, 2016. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Working Paper Series 1900, European Central Bank.
    11. 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.
    12. 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.
    13. 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.
    14. Marcin Pietrzak, 2021. "Can Financial Soundness Indicators Help Predict Financial Sector Distress?," IMF Working Papers 2021/197, International Monetary Fund.
    15. Torsten Wezel, 2019. "Conceptual Issues in Calibrating the Basel III Countercyclical Capital Buffer," IMF Working Papers 2019/086, International Monetary Fund.
    16. 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.
    17. 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.
    18. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    19. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager, 2016. "Systemic early warning systems for EU15 based on the 2008 crisis," Working Papers 202, Bank of Greece.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. Nyholm, Juho & Voutilainen, Ville, 2021. "Quantiles of growth: Household debt and growth vulnerabilities in Finland," BoF Economics Review 2/2021, Bank of Finland.
    30. 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.
    31. 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.
    32. 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. 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.
    2. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," Working Papers halshs-03185520, HAL.
    3. León, Carlos & Barucca, Paolo & Acero, Oscar & Gage, Gerardo & Ortega, Fabio, 2020. "Pattern recognition of financial institutions’ payment behavior," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," PSE Working Papers halshs-03185520, HAL.
    9. León, C. & Moreno, José Fernando & Cely, Jorge, 2017. "Whose Balance Sheet is this? Neural Networks for Banks' Pattern Recognition," Discussion Paper 2017-009, Tilburg University, Center for Economic Research.
    10. 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.
    11. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
    12. 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.

  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, 2015. "Financial Stability Indicators – the Case of Croatia," Working Papers 43, The Croatian National Bank, Croatia.
    4. 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.
    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. 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. Mark D. Flood & Victoria L. Lemieux & Margaret Varga & B.L. William Wong, 2014. "The Application of Visual Analytics to Financial Stability Monitoring," Working Papers 14-02, Office of Financial Research, US Department of the Treasury, revised 07 Oct 2014.
    3. Jozsef Mezei & Peter Sarlin, 2014. "Aggregation operators for the measurement of systemic risk," Papers 1412.5452, arXiv.org, revised Dec 2014.
    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.
    5. 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.
    6. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    7. Sarlin, Peter & Rönnqvist, Samuel, 2016. "Bank networks from text: interrelations, centrality and determinants," Working Paper Series 1876, European Central Bank.
    8. 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.
    9. 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.
    10. 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.
    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.

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

    Cited by:

    1. 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.
    2. Thomas Forss & Peter Sarlin, 2017. "News-sentiment networks as a risk indicator," Papers 1706.05812, arXiv.org, revised May 2018.
    3. Zhibin Niu & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2021. "Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks," Papers 2104.11863, arXiv.org.
    4. Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.
    5. 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.
    6. 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. 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).
    8. Christopher Gerling, 2023. "Company2Vec -- German Company Embeddings based on Corporate Websites," Papers 2307.09332, arXiv.org.
    9. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    10. Fang, Ming & Taylor, Stephen & Uddin, Ajim, 2022. "The network structure of overnight index swap rates," Finance Research Letters, Elsevier, vol. 46(PB).

  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. Sarlin, Peter, 2014. "Macroprudential oversight, risk communication and visualization," LSE Research Online Documents on Economics 61217, London School of Economics and Political Science, LSE Library.

  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. 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.
    2. 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.
    3. 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.
    4. António R. 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.
    5. 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.
    6. Gamze Ozturk Danisman & Amine Tarazi, 2020. "Financial Inclusion and Bank Stability: Evidence from Europe," Post-Print hal-02964650, HAL.
    7. 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).
    8. 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.
    9. 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.
    10. Juan Aparicio & Miguel A. Duran & Ana Lozano-Vivas & Jesus T. Pastor, 2024. "Are Charter Value and Supervision Aligned? A Segmentation Analysis," Papers 2401.12274, arXiv.org.
    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. Mare, Davide Salvatore, 2015. "Contribution of macroeconomic factors to the prediction of small bank failures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 25-39.
    13. 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.
    14. Asish Saha & Nor Hayati Ahmad & Lim Hick Eam & Siew Goh Yeok, 2019. "Assessing Bank Stability in Malaysia in the Framework of Distance to Default," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(2), pages 1-27.
    15. Theresa Schäfer & Sebastian Utz, 2022. "Values-Based and Global Systemically Important Banks: Their Stability and the Impact of Regulatory Changes After the Financial Crisis on it," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(1), pages 5-32, March.
    16. Smith, Jonathan Acosta & Grill, Michael & Lang, Jan Hannes, 2017. "The leverage ratio, risk-taking and bank stability," Working Paper Series 2079, European Central Bank.
    17. Evžen Kočenda & Ichiro Iwasaki, 2022. "Bank survival around the world: A meta‐analytic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 108-156, February.
    18. Grodecka-Messi, Anna & Kenny, Seán & Ögren, Anders, 2021. "Predictors of bank distress: The 1907 crisis in Sweden," Explorations in Economic History, Elsevier, vol. 80(C).
    19. Doumpos, Michael & Hasan, Iftekhar & Pasiouras, Fotios, 2017. "Bank overall financial strength: Islamic versus conventional banks," Economic Modelling, Elsevier, vol. 64(C), pages 513-523.
    20. Quentin Bro de Comères, 2022. "Predicting European Banks Distress Events: Do Financial Information Producers Matter?," Working Papers hal-03752678, HAL.
    21. 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.
    22. Evzen Kocenda & Ichiro Iwasaki, 2020. "Bank Survival in Central and Eastern Europe," KIER Working Papers 1022, Kyoto University, Institute of Economic Research.
    23. 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.
    24. Paolo Giudici & Laura Parisi, 2018. "CoRisk: Credit Risk Contagion with Correlation Network Models," Risks, MDPI, vol. 6(3), pages 1-19, September.
    25. Leledakis, George N. & Pyrgiotakis, Emmanouil G., 2019. "Market concentration and bank M&As: Evidence from the European sovereign debt crisis," MPRA Paper 95739, University Library of Munich, Germany.
    26. 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.
    27. 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.
    28. Lang, Jan Hannes, 2018. "Cross-country linkages and spill-overs in early warning models for financial crises," Working Paper Series 2160, European Central Bank.
    29. 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.
    30. Pompella Maurizio & Dicanio Antonio, 2016. "Bank Vulnerability and Financial Soundness Testing: The Bank Resilience Index," Ekonomika (Economics), Sciendo, vol. 95(3), pages 52-63, December.
    31. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    32. Parrado-Martínez, Purificación & Gómez-Fernández-Aguado, Pilar & Partal-Ureña, Antonio, 2019. "Factors influencing the European bank’s probability of default: An application of SYMBOL methodology," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 223-240.
    33. Jacopo Carmassi & Sonja Dobkowitz & Johanne Evrard & Laura Parisi & André F Silva & Michael Wedow, 2020. "Completing the Banking Union with a European deposit insurance scheme: who is afraid of cross-subsidization?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 35(101), pages 41-95.
    34. Davide Salvatore Mare & Dieter Gramlich, 2021. "Risk exposures of European cooperative banks: a comparative analysis," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 1-23, January.
    35. 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).
    36. Buchholst, Birgitte Vølund & Rangvid, Jesper, 2013. "Leading indicators of distress in Danish banks in the period 2008-12," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2013(2), pages 176-206.
    37. Ab Hamid, Mohd Fahmee & Rahman, aisyah & Abdul-Majid, Mariani & Janor, Hawati, 2018. "Market Risk and Efficiencies of the Malaysian Banking Industry: The Post-merger and Acquisition," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(1), pages 3-13.
    38. 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.
    39. Sarlin, Peter & von Schweinitz, Gregor, 2017. "Optimizing policymakers' loss functions in crisis prediction: before, within or after?," Working Paper Series 2025, European Central Bank.
    40. Shijaku, Gerti, 2017. "Bank Stability and Competition: Evidence from Albanian Banking Market," MPRA Paper 79891, University Library of Munich, Germany.
    41. 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.
    42. Dungey, Mardi & Islam, Raisul & Volkov, Vladimir, 2019. "Crisis transmission: visualizing vulnerability," Working Papers 2019-07, University of Tasmania, Tasmanian School of Business and Economics.
    43. 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.
    44. J'ozsef Mezei & Peter Sarlin, 2016. "RiskRank: Measuring interconnected risk," Papers 1601.06204, arXiv.org.
    45. Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.
    46. Koresh Galil & Margalit Samuel & Offer Moshe Shapir & Wolf Wagner, 2023. "Bailouts and the modeling of bank distress," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 7-30, February.
    47. Davide Avino & Thomas Conlon & John Cotter, 2016. "Credit Default Swaps as Indicators of Bank financial Distress," Working Papers 201601, Geary Institute, University College Dublin.
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    92. José Alejandro Fernández Fernández & Virginia Bejarano Vázquez & Juan Antonio Vicente Virseda, 2019. "Evaluación de riesgos con Data Mining: el sistema financiero español," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(3), pages 309-328, Julio - S.
    93. Hayet Abbad & Mohamed Achouche & Yamina Tadjeddine, 2015. "Evaluation du système financier Algérien : Construction d’un indice agrégé de stabilité bancaire," Working Papers hal-04141394, HAL.
    94. Jean Armand Gnagne & Kevin Moran, 2018. "Monitoring Bank Failures in a Data-Rich Environment," Cahiers de recherche 1815, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    95. Duprey, Thibaut & Klaus, Benjamin, 2022. "Early warning or too late? A (pseudo-)real-time identification of leading indicators of financial stress," Journal of Banking & Finance, Elsevier, vol. 138(C).
    96. Sarlin, Peter & Rönnqvist, Samuel, 2016. "Bank networks from text: interrelations, centrality and determinants," Working Paper Series 1876, European Central Bank.
    97. Mariña Martínez-Malvar & Laura Baselga-Pascual, 2020. "Bank Risk Determinants in Latin America," Risks, MDPI, vol. 8(3), pages 1-20, September.
    98. Ma, Lina & Iqbal, Najaf & Bouri, Elie & Zhang, Yang, 2023. "How good is green finance for green innovation? Evidence from the Chinese high-carbon sector," Resources Policy, Elsevier, vol. 85(PB).
    99. Gerti Shijaku, 2017. "How Does Competition Affect Bank Stability After the Global Crises in the Case of the Albanian Banking System?," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(2), pages 175-208.
    100. 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.
    101. 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.).
    102. 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.
    103. 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.
    104. 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.
    105. 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.
    106. 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.
    107. 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.
    108. 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.
    109. Pessarossi, Pierre & Thevenon, Jean-Luc & Weill, Laurent, 2020. "Does high profitability improve stability for European banks?," Research in International Business and Finance, Elsevier, vol. 53(C).
    110. Salma Louati & Younes Boujelbene, 2020. "Inflation targeting and bank risk: The interacting effect of institutional quality," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1847889-184, January.
    111. Mamonov, Mikhail (Мамонов, Михаил), 2017. "«Holes» in the Capital of Failed Russian Banks: Old Indicators and New Hypotheses [«Дыры» В Капитале Обанкротившихся Российских Банков: Старые Факторы И Новые Гипотезы]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 166-199, February.
    112. Li Xian Liu & Shuangzhe Liu & Milind Sathye, 2021. "Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    113. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    114. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
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    119. 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.
    120. 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.
    121. Chernykh, Lucy & Kotomin, Vladimir, 2022. "Risk-based deposit insurance, deposit rates and bank failures: Evidence from Russia," Journal of Banking & Finance, Elsevier, vol. 138(C).
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  11. Sarlin, Peter, 2013. "On policymakers' loss function and the evaluation of early warning systems," Working Paper Series 1509, European Central Bank.

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    1. Mikkel Hermansen & Oliver Röhn, 2015. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Economics Department Working Papers 1250, OECD Publishing.
    2. 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.
    3. Quentin Bro de Comères, 2022. "Predicting European Banks Distress Events: Do Financial Information Producers Matter?," Working Papers hal-03752678, HAL.
    4. 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.
    5. 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.
    6. 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).
    7. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    8. 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.
    9. 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.
    10. 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 (IfW Kiel).
    11. 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.
    12. Aastveit, Knut Are & Anundsen, André K. & Herstad, Eyo I., 2019. "Residential investment and recession predictability," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1790-1799.
    13. 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.
    14. Sarlin, Peter & von Schweinitz, Gregor, 2017. "Optimizing policymakers' loss functions in crisis prediction: before, within or after?," Working Paper Series 2025, European Central Bank.
    15. Tran Huynh & Silke Uebelmesser, 2022. "Early warning models for systemic banking crises: can political indicators improve prediction?," Jena Economics Research Papers 2022-007, Friedrich-Schiller-University Jena.
    16. 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.
    17. Samuel Ronnqvist & Peter Sarlin, 2014. "Bank Networks from Text: Interrelations, Centrality and Determinants," Papers 1406.7752, arXiv.org, revised Jul 2015.
    18. 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.
    19. 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.
    20. Sarlin, Peter & Holopainen, Markus, 2016. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Working Paper Series 1900, European Central Bank.
    21. 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.
    22. Dieckelmann, Daniel, 2020. "Cross-border lending and the international transmission of banking crises," Discussion Papers 2020/13, Free University Berlin, School of Business & Economics.
    23. J'ozsef Mezei & Peter Sarlin, 2016. "RiskRank: Measuring interconnected risk," Papers 1601.06204, arXiv.org.
    24. Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.
    25. 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.
    26. 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.
    27. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    28. Detken, Carsten & Alessi, Lucia, 2014. "Identifying excessive credit growth and leverage," Working Paper Series 1723, European Central Bank.
    29. André K. Anundsen & Karsten Gerdrup & Frank Hansen & Kasper Kragh‐Sørensen, 2016. "Bubbles and Crises: The Role of House Prices and Credit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1291-1311, November.
    30. 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.
    31. 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.
    32. 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).
    33. 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.
    34. 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.
    35. 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.
    36. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
    37. 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.
    38. 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.
    39. Mezei, József & Sarlin, Peter, 2018. "RiskRank: Measuring interconnected risk," Economic Modelling, Elsevier, vol. 68(C), pages 41-50.
    40. 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).
    41. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    42. 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.
    43. 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.
    44. 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).
    45. 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.
    46. 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.
    47. Sarlin, Peter & Rönnqvist, Samuel, 2016. "Bank networks from text: interrelations, centrality and determinants," Working Paper Series 1876, European Central Bank.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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.).
    53. 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.
    54. 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.
    55. 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.
    56. 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.
    57. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.
    64. Irma Alonso & Luis Molina, 2019. "The SHERLOC: an EWS-based index of vulnerability for emerging economies," Working Papers 1946, Banco de España.

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

    Cited by:

    1. Sarlin, Peter, 2013. "On policymakers' loss function and the evaluation of early warning systems," Working Paper Series 1509, European Central Bank.
    2. 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.
    3. Mark D. Flood & Victoria L. Lemieux & Margaret Varga & B.L. William Wong, 2014. "The Application of Visual Analytics to Financial Stability Monitoring," Working Papers 14-02, Office of Financial Research, US Department of the Treasury, revised 07 Oct 2014.
    4. 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.
    5. 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.
    6. 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.
    7. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    8. Kauko, Karlo, 2012. "External deficits and non-performing loans in the recent financial crisis," Economics Letters, Elsevier, vol. 115(2), pages 196-199.
    9. 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.
    10. 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.
    11. 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.
    12. Dungey, Mardi & Islam, Raisul & Volkov, Vladimir, 2019. "Crisis transmission: visualizing vulnerability," Working Papers 2019-07, University of Tasmania, Tasmanian School of Business and Economics.
    13. Sarlin, Peter & Holopainen, Markus, 2016. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Working Paper Series 1900, European Central Bank.
    14. 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.
    15. 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.
    16. 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.
    17. Zhibin Niu & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2021. "Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks," Papers 2104.11863, arXiv.org.
    18. Oscar Claveria, 2017. "“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps," IREA Working Papers 201713, University of Barcelona, Research Institute of Applied Economics, revised Jun 2017.
    19. 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.
    20. 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.
    21. Sarlin, Peter, 2014. "Macroprudential oversight, risk communication and visualization," LSE Research Online Documents on Economics 61217, London School of Economics and Political Science, LSE Library.
    22. Sarlin, Peter, 2016. "Macroprudential oversight, risk communication and visualization," Journal of Financial Stability, Elsevier, vol. 27(C), pages 160-179.
    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. 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.
    25. 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.
    26. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager, 2016. "Systemic early warning systems for EU15 based on the 2008 crisis," Working Papers 202, Bank of Greece.
    27. Kauko, Karlo, 2014. "How to foresee banking crises? A survey of the empirical literature," Economic Systems, Elsevier, vol. 38(3), pages 289-308.
    28. Sylvain Barthélemy & Marie-Estelle Binet & Jean-Sébastien Pentecôte, 2020. "Worldwide Economic Recoveries from Financial Crises Through the Decades," Post-Print hal-02555515, HAL.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    34. 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.
    35. 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).
    36. 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.
    37. Kinsella, Stephen, 2019. "Visualising economic crises using accounting models," Accounting, Organizations and Society, Elsevier, vol. 75(C), pages 1-16.
    38. 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.
    39. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.
    40. 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.
    41. Office of Financial Research (ed.), 2013. "Office of Financial Research 2013 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 13-2.

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, 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. "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.
    2. 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.

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