||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
|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
|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
|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)