| Single author |
Explaining AI in Finance: Past, Present, Prospects |
XAI, econometrics |
https://doi.org/10.48550/arXiv.2306.02773 |
2023 |
| Single author |
Teaching open science analytics in the age of financial technology |
Open source analytics, Finance education, Financial technology, Statistical inference. Financial data science, Financial data science and machine learning, Econometrics, Cloud computing, Employability |
QMS Working Paper |
2022 |
| Kearney, Fearghal, Barry Quinn, and Robert Sketch |
How Deep Is Your Learning? Machine Learning Stories from the Enchanted Predictability Forest of UK Firm Value |
Financial machine learning, neural networks, XAI, Shapley values analysis |
|
2021 |
| Barbara Casu, Rym Ayadi, Sami Ben Naceur, and Ronan Gallagher |
Herding to Comply: Hierarchical Systemic Risk Consequences of Capital Policy Actions in Europe. |
financial machine learning, systemic risk, capital regulation, Bayesian inference, CoVaR, hierarchical models |
Under Review at IMF |
2021 |
| Ronan Gallagher and Timo Kuosmanen (Aalto Business School, Finland) |
Lurking in the Shadows: The Impact of Emissions Target Setting on Carbon Pricing and Environmental Efficiency. |
StoNED, climate policy, energy economics, frontier efficiency |
QMS Working Paper Series (under second review at Energy Economics) |
2021 |