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Adamaria Perrotta

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Assistant Professor

Dublin City University

Ireland

Research Interests

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About

Adamaria Perrotta is an Assistant Professor at University College Dublin, Ireland. Her research areas include financial mathematics, data analytics in credit risk models, and the dynamics of wealth in monetary systems. Her recent publications focus on enhancing collaboration in computational practices and employing machine learning approaches to predict loan defaults within the Peer-to-Peer financial ecosystem.

Recent Grants

Grant: Close

How coding languages and FinCad Analytics Suite for Excel can facilitate a sensemaking to quantitative finance: a learner-centered and EBL approach to teaching Computational Finance

Open Date: 2020-01-01

Close Date: 2021-05-01

Articles (13)

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2026

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2020

Collaborators (6)

Matteo Sacchet

University of Turin

ITALY

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Pier Giuseppe Giribone

Adjunct Professor

University of Genoa

ITALY

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Andrea Monaco

University College Dublin

IRELAND

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Giulia Boetti

University of Turin

ITALY

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Alessia Paccagnini

Tenured Assistant Professor / Lecturer

Dublin City University

IRELAND

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Alice Barana

Senior Researcher

Università degli Studi di Torino

ITALY

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Adamaria Perrotta

Research Interests

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About

Recent Grants

Articles (13)

Prepayment forecasting in a low-interest-rates environment: Evidence from the French market

A Combinatorial Approach to Wealth Distribution in Multi–Aggregate Systems

Mathematics Across Borders: the Impact of a Linear Algebra COIL Project on Students' Cultural Intelligence

Enhancing Individual Learning through Inclusive Computational Practices: A Case Study in Financial Mathematics Labs

Rethinking computational practices in financial mathematics to boost collaboration: a comparative analysis to explore the redesign of lab activities and its impact on the knowledge co-construction process

Comparing homogeneous and heterogeneous ability grouping in collaborative computational lab activities in Financial Mathematics

Editorial: Applications of AI and machine learning in finance and economics

Wealth dynamics in a multi-aggregate closed monetary system

Investigating the Knowledge Co-Construction Process in Homogeneous Ability Groups during Computational Lab Activities in Financial Mathematics

Selecting sensitive web info via conditional probabilities to model economics and financial variables

Data Analytics for Credit Risk Models in Retail Banking: a new era for the banking system

Why segmentation matters: a Machine Learning approach for predicting loan defaults in the Peer-to-Peer (P2P) Financial Ecosystem

On a generalized Egnell inequality

Collaborators (6)

Matteo Sacchet

Pier Giuseppe Giribone

Andrea Monaco

Giulia Boetti

Alessia Paccagnini

Alice Barana

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