Digital Finance - Reaching New Frontiers

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-DN-IDID: 101119635
EC Contribution
€37,925
Consortium Size
22 orgs
Start Year
2024
Summary

A competitive European financial sector is vital for the modernisation of the European economy across sectors and to turn Europe into a global digital player. We have identified the five most pertinent areas within this domain: Towards a European financial data space; Artificial intelligence for financial markets; Towards explainable and fair AI-generated decisions; Driving digital innovations with Blockchain applications; Sustainability of Digital Finance. For this purpose, we have gathered an internationally recognized network consisting of nine leading European Universities (WU Vienna, University of Twente, Bucharest University of Economic Studies, Babes-Bolyai University, Bern Business School, Kaunas University of Technology, University of Naples, University of Poznan, University of Kaiserslautern-Landau), all ranked among the top 200 universities globally in their fields, three major international corporations (Swedbank, Deutsche Bank and Raiffeisen Bank) with a significant R&D presence across Europe, two SMEs (Cardo AI and Royalton Partners) being some of the most innovative ones in their field, three large and internationally renowned research centres (ARC Greece, EIT Digital and Fraunhofer Institute Germany), the Bank for International Settlements and the European Central Bank, as one of the seven principal decision-making bodies of the European Union and the Euratom as well as one of the world's most important central banks. The results of the research carried out within DIGITAL are of substantial interest to three leading European-wide research networks that our members either lead or serve on the management committee for: COST Action CA19130 (240 researchers across 39 European countries), ECMI and the European Consortium of Innovative Universities (13 European Universities). It is only through a network that incorporates the expertise of all distinct shapers of the financial industry, that we can see a comprehensive shift towards innovation and digitalization of a sector that is notoriously averse to change.

Consortium (22)

Project Results (40)

Source: CORDIS, the EU research results database.

Publications (39)
Enhancing large language models for bitcoin time series forecasting
Knowledge-Based Systems· 2025DOI
Owen Chaffard, Pablo Mollá, Marc Cavazza, Helmut Prendinger
Explainable federated class incremental learning for Encrypted Network Traffic classification
Computer Networks· 2025DOI
Raffaele Carillo, Francesco Cerasuolo, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè
2023 FINTECH REPORT ROMANIA & BULGARIA
· 2024
Vasile STRAT, Deyan RADEV, Daniel Traian PELE, Cătălina CHINIE, Florin GROSU, Flavius Cosmin DARIE, Codruța MARE, Virgil DAMIAN, Ioana COITA
A Comprehensive guide to Generative Adversarial Networks (GANs) and application to individual electricity demand
Expert Systems with Applications· 2024DOI
Bilgi Yilmaz, Ralf Korn
A first look back: model performance under Solvency II
European Actuarial Journal· 2024DOI
Ralf Korn, Gerhard Stahl
A mean field game model for optimal trading in the intraday electricity market
Decisions in Economics and Finance· 2024DOI
Sema Coskun, Ralf Korn
A Statistical Analysis of Cryptocurrencies
Journal of Risk and Financial Management· 2024DOI
Stephen Chan, Jeffrey Chu, Saralees Nadarajah, Joerg Osterrieder
AI 4 Crowdfunding - A hands-on roadmap to study and understand crowdfunding data using critical thinking AI
· 2024
Stefana Belbe, Lucia Gomez Teijeiro, Liana Stanca, Karsten Wenzlaff, Codruta Mare, Ramy Elitzur, Karolina Bolesta, Xiaohong Huang, Gokce Nur Yilmaz, Frederic Bernard, Joerg Osterrieder, Ioana Florina Coita, Olivija Filipovska, Hanna Kristin Skaftadottir,
AI Toxicity in News articles
The 18th International Conference on Business Excellence Smart Solutions for a Sustainable Future· 2024
Proscanu C, Proscanu M, Costea A
AI-Driven Failed Trials in Investment Strategies: A Network Data Analysis Approach
· 2024
Bolesta, Karolina and Akar, Mutlu and Coita, Ioana and tarantola, claudia and Iannario, Maria and Osterrieder, Joerg and Sipos, Ciprian and Schwendner, Peter and Bedowska-Sojka, Barbara and Pisoni, Galena and Maxhelaku, Armela and Maxhelaku, Suela and Wei
Emoji Driven Crypto Assets Market Reactions
SSRN Electronic Journal· 2024
Zuo, Xiaorui; Chen, Yao-Tsung; Härdle, Wolfgang Karl; Zuo Xiaorui; Chen Yao-Tsung; Härdle Wolfgang Karl
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods
· 2024DOI
Andrei, Alexandru-Victor; Velev, Georg; Toma, Filip-Mihai; Pele, Daniel Traian; Lessmann, Stefan
Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
· 2024DOI
Osterrieder, Joerg; Chan, Stephen; Chu, Jeffrey; Zhang, Yuanyuan; Misheva, Branka Hadji; Mare, Codruta
Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification
IEEE Global Communications Conference (GLOBECOM 2024)· 2024
Francesco Cerasuolo, Giampaolo Bovenzi, Vincenzo Spadari, Domenico Ciuonzo, Antonio Pescapè
Exploring the fine-tuning of LLMs for enhanced performance in ABF & future use cases
· 2024
Gennaro Di Brino
GARCH Modelling of Cryptocurrencies
Journal of Risk and Financial Management· 2024DOI
Jeffrey Chu, Stephen Chan, Saralees Nadarajah, Joerg Osterrieder
GraLMatch: Matching Groups of Entities with Graphs and Language Models
EDBT: 28th International Conference on Extending Database Technology· 2024DOI
Fernando De Meer Pardo, Claude Lehmann, Dennis Gehrig, Andrea Nagy, Stefano Nicoli, Branka Hadji Misheva, Martin Braschler, Kurt Stockinger
Has bitcoin been dethroned too quickly? The cryptocurrency return networks
Network Science· 2024DOI
Barbara Będowska-Sójka, Piotr Wójcik, Sabrina Giordano
How are AI & LLMs transforming the financial services industry and asset-based finance?
· 2024
Gennaro Di Brino
Hypothesizing Multimodal Influence: Assessing the Impact of Textual and Non-Textual Data on Financial Instrument Pricing Using NLP and Generative AI
SSRN Electronic Journal· 2024DOI
Karolina Bolesta, Gabin Taibi, Codruta Mare, Branka Hadji Misheva, Christian Hopp, Joerg Osterrieder
Lead Behaviour in Bitcoin Markets
Risks· 2024DOI
Ying Chen, Paolo Giudici, Branka Hadji Misheva, Simon Trimborn
Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning
Expert Systems with Applications· 2024DOI
Yiting Liu, Lennart John Baals, Jörg Osterrieder, Branka Hadji-Misheva
Metaverse Non Fungible Tokens
SSRN Electronic Journal· 2024DOI
Joerg Osterrieder, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang
Modeling Financial Risk Attitude: The Role of Education And Financial Literacy
Financial Internet Quarterly· 2024DOI
Maria Iannario, Anna Clara Monti, Domenico Scalera
Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics
Finance Research Letters· 2024DOI
Yiting Liu, Lennart John Baals, Jörg Osterrieder, Branka Hadji-Misheva
Network Centrality and Credit Risk: A Comprehensive Analysis of Peer-to-Peer Lending Dynamics
Finance Research Letters· 2024DOI
Liu, Yiting; Baals, Lennart John; Osterrieder, Jörg; Hadji-Misheva, Branka
Predicting the Undead: Using Machine Learning to Forecast Cryptocurrency Zombies
· 2024DOI
Barbara Bedowska-Sojka, Piotr Wojcik, Daniel Traian Pele
Private Debt Fund Performance: Is Post-Pandemic the golden era for Private Debt?
· 2024
Arben Zibri
Proof-of-work versus proof-of-stake coins as possible hedges against green and dirty energy
Energy Economics· 2024DOI
Agata Kliber, Barbara Będowska-Sójka
Real consequences of non-stationary fundamentals among digital assets
Datacite· 2024DOI
Häusler, Konstantin
Understanding Blockchain Technology
SSRN Electronic Journal· 2024DOI
Min-Bin Lin, Daniel Traian Pele, Rui Ren
A theoretical exploration of genetic algorithms and mathematical optionality
Frontiers in Artificial Intelligence, section Artificial Intelligence in Finance· 2023DOI
Joerg Osterrieder
Dynamic Regression Prediction Models for Customer Specific Electricity Consumption
Electricity· 2023DOI
Fatlinda Shaqiri, Ralf Korn, Hong-Phuc Truong
Estimating the Value-at-Risk by Temporal VAE
Risks· 2023DOI
Robert Buch, Stefanie Grimm, Ralf Korn, Ivo Richert
Estimating the Value-at-Risk by Temporal VAE
Risks· 2023DOI
Robert Buch; Stefanie Grimm; Ralf Korn; Ivo Richert
Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning
Expert Systems with Applications· 2023DOI
Liu, Yiting; Baals, Lennart John; Osterrieder, Jörg; Hadji-Misheva, Branka
Managing reputational risk in the decumulation phase of a pension fund
Insurance: Mathematics and Economics· 2023DOI
M. Carmen Boado-Penas, Leonie V. Brinker, Julia Eisenberg, Ralf Korn
Optimal portfolios with sustainable assets: aspects for life insurers
European Actuarial Journal· 2023DOI
Ralf Korn, Ajla Nurkanovic
Understanding the mathematical background of Generative Adversarial Networks (GANs)
Mathematical Modelling and Numerical Simulation with Applications· 2023DOI
Bilgi YILMAZ, Ralf KORN
Deliverables (1)
Websites, patent fillings, videos etc.