Peter Sarlin

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Tuomas PeltonenEuropean Systemic Risk Board, European Central BankVerified email at ecb.europa.eu
Samuel RönnqvistTurkuNLP, University of TurkuVerified email at abo.fi
József MezeiÅbo Akademi UniversityVerified email at abo.fi
Tomas EklundSenior Lecturer, Adjunct Professor (Docent) in Information Systems, Uppsala UniversityVerified email at im.uu.se
Zhiyuan YaoÅbo Akademi UniversityVerified email at abo.fi
Dorina Rajanen (Marghescu)Oulu UniversityVerified email at oulu.fi
Paolo GiudiciProfessor of Statistics, University of PaviaVerified email at unipv.it
Barbro BackÅbo Akademi University, Professor in Accounting Information SystemsVerified email at abo.fi
Andreea ConstantinVerified email at etu.unige.ch
Paola CerchielloUniversity of PaviaVerified email at unipv.it
Giancarlo NicolaUniversity of PaviaVerified email at universitadipavia.it
Patrizio LainàUniversity of HelsinkiVerified email at helsinki.fi
Gregor von SchweinitzCorvinus University & IWH HalleVerified email at uni-corvinus.hu
Alberto CavalloProfessor, Harvard Business SchoolVerified email at hbs.edu
Leandro ZipitriaFacultad de Ciencias Sociales - UdelaRVerified email at cienciassociales.edu.uy
Shahrokh NikouDelft University of TechnologyVerified email at tudelft.nl
Ashish SharmaProfessor, Civil and Environmental Engineering, UNSWVerified email at unsw.edu.au
Scott SissonProfessor of Statistics & Data Science, University of New South WalesVerified email at unsw.edu.au
Kaj-Mikael BjörkHead of Risklab, Principal lecturer, Arcada University of Applied SciencesVerified email at arcada.fi
Harry BouwmanDelft University of Technology Technology Policy and ManagementVerified email at freedom.nl

Peter Sarlin

Silo AI & Aalto University

Verified email at silo.ai - Homepage


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Predicting distress in European banks F Betz, S Oprică, TA Peltonen, P Sarlin Journal of Banking & Finance 45, 225-241, 2014	486	2014
Using artificial intelligence to create value in insurance M Riikkinen, H Saarijärvi, P Sarlin, I Lähteenmäki International Journal of Bank Marketing 36 (6), 1145-1168, 2018	331	2018
Toward robust early-warning models: A horse race, ensembles and model uncertainty M Holopainen, P Sarlin Quantitative Finance 17 (12), 1933-1963, 2017	146	2017
Toward robust early-warning models: A horse race, ensembles and model uncertainty M Holopainen, P Sarlin ECB Working Paper, 2016	146	2016
On policymakers’ loss functions and the evaluation of early warning systems P Sarlin Economics Letters 119 (1), 1-7, 2013	134	2013
Mapping the state of financial stability P Sarlin, T Peltonen Journal of International Financial Markets, Institutions and Money 26 …, 2013	134	2013
Network Linkages to Predict Bank Distress A Constantin, TA Peltonen, P Sarlin Journal of Financial Stability, 2016	114	2016
From bits to atoms: 3D printing in the context of supply chain strategies HJ Nyman, P Sarlin 2014 47th Hawaii International Conference on System Sciences, 4190-4199, 2014	102	2014
The interconnected nature of financial systems: Direct and common exposures P Giudici, P Sarlin, A Spelta Journal of Banking & Finance 112, 105149, 2020	94	2020
Bank distress in the news: Describing events through deep learning S Rönnqvist, P Sarlin Neurocomputing 264, 57-70, 2017	85	2017
Interconnectedness of the Banking Sector as a Vulnerability to Crises M Rancan, P Sarlin, TA Peltonen Available at SSRN 2605810, 2015	79*	2015
Visual predictions of currency crises using self-organizing maps P Sarlin, D Marghescu 2010 IEEE International Conference on Data Mining Workshops, 623-630, 2010	73	2010
Leading indicators of systemic banking crises: Finland in a panel of EU countries P Lainà, J Nyholm, P Sarlin Review of Financial Economics 24 (1), 18-35, 2015	72	2015
Leading indicators of systemic banking crises: Finland in a panel of EU countries P Lainà, J Nyholm, P Sarlin Bank of Finland Research Discussion Paper, 2014	72	2014
A framework for early-warning modeling with an application to banks JH Lang, TA Peltonen, P Sarlin ECB working paper, 2018	57	2018
A framework for early-warning modeling with an application to banks JH Lang, TA Peltonen, P Sarlin ECB Working Paper, 2018	57	2018
Distance and political boundaries: Estimating border effects under inequality constraints F Borraz, A Cavallo, R Rigobon, L Zipitria International Journal of Finance & Economics 21 (1), 3-35, 2016	57	2016
Self-organizing time map: an abstraction of temporal multivariate patterns P Sarlin Neurocomputing 99, 496-508, 2013	57	2013
Bank networks from text: interrelations, centrality and determinants S Rönnqvist, P Sarlin Quantitative Finance 15 (10), 1619-1635, 2015	54	2015
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