| Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran E Rahimikia, S Mohammadi, T Rahmani, M Ghazanfari International Journal of Accounting Information Systems 25, 1-17, 2017 | 69 | 2017 |
| Machine learning for realised volatility forecasting E Rahimikia, SH Poon Available at SSRN 3707796, 2020 | 47 | 2020 |
| Big data approach to realised volatility forecasting using HAR model augmented with limit order book and news E Rahimikia, SH Poon Available at SSRN 3684040, 2020 | 14 | 2020 |
| Realised volatility forecasting: Machine learning via financial word embedding E Rahimikia, S Zohren, SH Poon arXiv preprint arXiv:2108.00480, 2021 | 13 | 2021 |
| Tax Evasion Detection by Using Combinatory Intelligent System E Rahimikia, S Mohamadi, M Ghazanfari Journal of Tax Research 23 (2674), 135-163, 2015 | 5 | 2015 |
| Alternative data for realised volatility forecasting: Limit order book and news stories E Rahimikia, SH Poon Available at SSRN 3684040, 2020 | 1 | 2020 |
| Essays on machine learning in volatility forecasting E Rahimikia The University of Manchester, Manchester, UK, 2023 | | 2023 |
| Nonlinearity Test for Principal Component Analysis: A MATLAB code A Habibnia, E Rahimikia, H Mahdikhah https://www.researchgate.net/publication …, 2018 | | 2018 |
| CORPORATE BANKRUPTCY PREDICTION BASED ON HYBRID INTELLIGENT SYSTEMS M GHAZANFARI, E RAHIMIKIA, ALI ASKARI The Financial Accounting and Auditing Researches 10 (37), 159-193, 2018 | | 2018 |
| MATLAB Cheat Sheet for Data Science - London School of Economics A Habibnia, E Rahimikia http://www.alihabibnia.com/wp-content/uploads/2017/05/MATLAB-Cheat-Sheet-for …, 2017 | | 2017 |
Ser-Huang PoonUniversity of ManchesterVerified email at manchester.ac.uk
