| Stock market efficiency and the MACD. Evidence from countries around the world GDI Anghel Procedia economics and finance 32, 1414-1431, 2015 | 63 | 2015 |
| Liquidity-threshold effect in non-performing loans ID Pop, CO Cepoi, DG Anghel Finance research letters 27, 124-128, 2018 | 52 | 2018 |
| A reality check on trading rule performance in the cryptocurrency market: Machine learning vs. technical analysis DG Anghel Finance research letters 39, 101655, 2021 | 43 | 2021 |
| Intraday market efficiency for a typical Central and Eastern European stock market: The case of Romania DG Anghel Romanian Journal of Economic Forecasting 20 (3), 88, 2017 | 13 | 2017 |
| How reliable is the moving average crossover rule for an investor on the Romanian stock market? DG Anghel The Review of Finance and Banking 5 (2), 89-115, 2013 | 13 | 2013 |
| Market efficiency and technical analysis in Romania DG Anghel International Journal of Financial Research 6 (2), 164-177, 2015 | 10 | 2015 |
| Growing fiscal risk in European Union resulting from government contingent liabilities in the pandemic crisis–assessment and policy recommendations DG Anghel, IA Boitan, K Marchewka-Bartkowiak Economic research-Ekonomska istraživanja 35 (1), 2292-2312, 2022 | 7 | 2022 |
| Asset pricing with systematic skewness: Two decades later D Anghel, P Caraiani, A Rosu, I Rosu HEC Paris Research Paper No. FIN-2021-1432, 2022 | 4 | 2022 |
| The Performance of ROC on the BSE DG Anghel Theoretical and Applied Economics 20 (Special I), 373-379, 2013 | 4 | 2013 |
| Data snooping bias in tests of the relative performance of multiple forecasting models DG Anghel Journal of Banking & Finance 126, 106113, 2021 | 3 | 2021 |
| Intraday Patterns in Returns on the Romanian and Bulgarian Stock Markets DG Anghel, EV Ţilică, V Dragotă Romanian Journal of Economic Forecasting 23 (2), 92, 2020 | 3 | 2020 |
| Asymmetries and flight-to-safety effects in the price discovery process of cross-listed stocks CO Cepoi, DG Anghel, ID Pop Economic Modelling 98, 302-318, 2021 | 2 | 2021 |
| Post-crisis household savings behavior in Romania DG Anghel, AI Străchinaru Proceedings of the International Conference on Applied Statistics 1 (1), 17-33, 2019 | 2 | 2019 |
| Market-Level sports sentiment: The case of the Romanian frontier stock market DG Anghel The Review of Finance and Banking 10 (2), 95-108, 2018 | 2 | 2018 |
| Stock prices still move too much for dividends but less so: A reappraisal of Shiller 1981 DG Anghel, P Caraiani Critical Finance Review 10 (3), 409-418, 2021 | 1 | 2021 |
| Predicting Intraday Prices in the Frontier Stock Market of Romania Using Machine Learning Algorithms DG Anghel International Journal of Economics and Financial Research 6 (7), 170-179 …, 2020 | 1 | 2020 |
| Market Efficiency and Technical Analysis in the Central and Eastern European Region DG Anghel 7th Annual Conference of the EuroMed Academy of Business, 2014 | 1 | 2014 |
| The volatility connectedness of US industries: The role of investor sentiment DG Anghel, P Caraiani Economics Letters 235, 111578, 2024 | | 2024 |
| Student engagement and academic performance in pandemic-driven online teaching: An exploratory and machine learning approach EM Campeanu, IA Boitan, DG Anghel Management & Marketing 18 (s1), 315-339, 2023 | | 2023 |
| No pain, no gain: You should always incorporate trading costs for a bias-free evaluation of trading rule overperformance DG Anghel Economics Letters 216, 110584, 2022 | | 2022 |
Cosmin-Octavian CepoiBucharest University of Economic Studies, CCFM Victor SlăvescuVerified email at fin.ase.ro
