[Article] Financial literacy and psychological disaster preparedness: applicability of approach based on fuzzy functional dependencies
Article from Cost Action members, with acknowledgement to the Action Information Processing & Management (https://authors.elsevier.com/c/1eJGe15hYdmTZ4) Abstract: Recent catastrophes and crises emphasize the necessity of an individual’s and household’s preparedness for coping with these events. Previous research focuses mainly on short-term preparation and immediate response to catastrophes. The ex ante approach to managing long-term effects can rarely be found in literature, especially with an emphasis on financial preparedness. In this work, we use… Read More
[Conference] TINFIN Conference / COST Session / COST FinAI WG2 meeting
Dear COST FinAI Members, we are inviting You to the “Technology, Innovation and Stability: New Directions in Finance (TINFIN)” International Scientific Conference, in Zagreb, Croatia, 5 – 6 May 2022 (hybrid event). The Conference is organised by the Faculty of Economics and Business of the University of Zagreb, Croatian Academy of Sciences and Arts and COST Action CA19130 FinAI – Fintech and Artificial Intelligence in Finance – Towards a Transparent Financial Industry…. Read More
[Article] Forecasting: Theory and Practice
Article from Cost Action members, with acknowledgement to the Action The International Journal of Forecasting has just published “Forecasting: Theory and Practice,” which is an encyclopedic article on forecasting written by 80 leading scholars and is available online with open access at this link (https://doi.org/10.1016/j.ijforecast.2021.11.001). This non-systematic review of forecasting theory and practice gives an overview of a wide range of theoretical, state-of-the-art models, methods, concepts, and approaches for preparing, producing, organizing,… Read More
[Our Action] Podcast
Our action has produced a podcast series directed by Professor Vasile Strat (Virtual Network Manager) that covers a variety of themes relevant to the research interests of our Cost Action members. The first episode featured an invited discussion by Ashraf Khan and Majid Malaika from the International Monetary Fund about Central Bank Risk Management, Fintech, and Cybersecurity. In the podcasts that followed, Professor Strat interviewed six members of the Cost Action (Professor Codruta Mare, Professor Belma… Read More
[Conference] European Alternative Finance Research Conference 2022: Fintech for the common good
Utrecht School of Economics and COST Action CA19130 FinAI – Fintech and Artificial Intelligence in Finance – Towards a Transparent Financial Industry invite you to the international scientific conference “Fintech for the common good” which will be held from October 5th – 7th, 2022 in Utrecht, The Netherlands as a hybrid event. Call for Papers will open Feb 1, 2022 Topics This year’s conference features the special topic ‘Fintech and the common… Read More
[Conference] Environmental Finance for the Common Good
SAVE THE DATE! 31 March-1 April 2022A hybrid workshop co-funded by the Money, Macro and Finance Society, United Kingdom and Department of Management, Birkbeck College, University of London31 March-1 April 2022 with the support of Cost FinAI Please note and redistribute if relevant!Call for Papers for the workshop on the theme of “Environmental Finance for the Common Good”.Submissions close: February 20th 2022 (Greenwich Mean Time)Decisions on acceptance: February 28th 2022 (Greenwich Mean… Read More
[Our Action] 2021 VMG and STSM reports
Report on 2021 Virtual Mobility Grants Report on 2021 Short Term Scientific Missions
[Article] A machine learning model for lapse prediction in life insurance contracts
Article from Cost Action members, with acknowledgement to the Action Michele Azzone, Emilio Barucci, Giancarlo Giuffra Moncayo, Daniele Marazzina Abstract: We use the Random Forest methodology to predict the lapse decision of life insurance contracts by policyholders. The methodology outperforms the logistic model, even if features interactions are considered. We use global and local interpretability tools to investigate how the model works. We show that non-economic features (the time passed from the incipit of… Read More
[Article] Financial literacy and psychological disaster preparedness: applicability of approach based on fuzzy functional dependencies
Article from Cost Action members, with acknowledgement to the Action Miljan Vučetić, Zuzana Brokešová, Miroslav Hudec, Erika Pastoráková Abstract: Recent catastrophes and crises emphasize the necessity of an individual’s and household’s preparedness for coping with these events. Previous research focuses mainly on short-term preparation and immediate response to catastrophes. The ex ante approach to managing long-term effects can rarely be found in literature, especially with an emphasis on financial preparedness. In this… Read More
[Job Description] PostDoctoral Position in Machine Learning in Economics and Decision Sciences, Department of Economics at Copenhagen Business School
The two-year postdoc has a research component and limited teaching. While also continuing to pursue their own research interests, the postdoc will work with the group of Prof. Dolores Romero Morales, who has leading expertise in, among others, transparency in AI, interpretable machine learning and the role of mathematical optimization in these fields. In addition, she is the coordinator and scientific leader of the EU H2020 MSCA RISE European Network of Data Scientists project, www.riseneeds.eu…. Read More