Working papers

Co-authors Title Areas Output Year
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