A machine learning perspective on responsible gambling A Hassanniakalager, PWS Newall Behavioural Public Policy, 1-24, 2019 | 27 | 2019 |
A conditional fuzzy inference approach in forecasting A Hassanniakalager, G Sermpinis, C Stasinakis, T Verousis European Journal of Operational Research 283 (1), 196-216, 2020 | 21 | 2020 |
Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds G Sermpinis, C Stasinakis, A Hassanniakalager European Journal of Operational Research 263 (2), 540-558, 2017 | 21 | 2017 |
Trading the Foreign Exchange Market with Technical Analysis and Bayesian Statistics A Hassanniakalager, G Sermpinis, C Stasinakis Journal of Empirical Finance 63, 230-251, 2021 | 16 | 2021 |
Statistical risk warnings in gambling PWS Newall, L Walasek, A Hassanniakalager, AMT Russell, EA Ludvig, ... Behavioural Public Policy 7 (2), 219-239, 2023 | 13 | 2023 |
Technical Analysis Profitability and Persistence: A Discrete False Discovery Approach on MSCI Indices G Sermpinis, A Hassanniakalager, C Stasinakis, I Psaradellis Journal of International Financial Markets, Institutions and Money, 2021 | 12* | 2021 |
A Machine Learning Approach to Detect Accounting Frauds A Hassanniakalager, X Ji, P Perotti, F Tsoligkas Available at SSRN 4117764, 2022 | 3 | 2022 |
A False Discovery Rate Approach to Optimal Volatility Forecasting Model Selection A Hassanniakalager, PL Baker, E Platanakis International Journal of Forecasting, 2023 | | 2023 |
We took a gamble on Premier League betting odds–and showed that football bets should come with a health warning A Hassanniakalager, P Newall | | 2019 |
Four essays in quantitative analysis: artificial intelligence and statistical inference A Hassanniakalager University of Glasgow, 2018 | | 2018 |