| Dynamic connectedness of uncertainty across developed economies: A time-varying approach N Antonakakis, D Gabauer, R Gupta, V Plakandaras Economics Letters 166, 63-75, 2018 | 119 | 2018 |
| Forecasting the US real house price index V Plakandaras, R Gupta, P Gogas, T Papadimitriou Economic Modelling 45, 259-267, 2015 | 104 | 2015 |
| Point and density forecasts of oil returns: The role of geopolitical risks V Plakandaras, R Gupta, WK Wong Resources Policy 62, 580-587, 2019 | 57 | 2019 |
| Forecasting daily and monthly exchange rates with machine learning techniques V Plakandaras, T Papadimitriou, P Gogas Journal of Forecasting 34 (7), 560-573, 2015 | 54 | 2015 |
| Market sentiment and exchange rate directional forecasting V Plakandaras, T Papadimitriou, P Gogas, K Diamantaras Algorithmic Finance, 2015 | 32 | 2015 |
| The depreciation of the pound post-Brexit: Could it have been predicted? V Plakandaras, R Gupta, ME Wohar Finance research letters 21, 206-213, 2017 | 29 | 2017 |
| Do leading indicators forecast US recessions? A nonlinear re‐evaluation using historical data V Plakandaras, J Cunado, R Gupta, ME Wohar International Finance 20 (3), 289-316, 2017 | 27 | 2017 |
| Public Debt and Private Consumption in OECD countries P Gogas, T Papadimitriou, V Plakandaras Journal of Economic Asymmetries 11, 1-7, 2014 | 23 | 2014 |
| The role of housing sentiment in forecasting US home sales growth: evidence from a Bayesian compressed vector autoregressive model R Gupta, CK Marco Lau, V Plakandaras, WK Wong Economic research-Ekonomska istraživanja 32 (1), 2554-2567, 2019 | 20 | 2019 |
| Forecasting transportation demand for the US market V Plakandaras, T Papadimitriou, P Gogas Transportation Research Part A: Policy and Practice 126, 195-214, 2019 | 17 | 2019 |
| Persistence of economic uncertainty: a comprehensive analysis V Plakandaras, R Gupta, ME Wohar Applied Economics 51 (41), 4477-4498, 2019 | 16 | 2019 |
| Time-varying role of macroeconomic shocks on house prices in the US and UK: evidence from over 150 years of data V Plakandaras, R Gupta, C Katrakilidis, ME Wohar Empirical Economics 58 (5), 2249-2285, 2020 | 15 | 2020 |
| Forecasting bitcoin returns: is there a role for the US–China trade war? V Plakandaras, E Bouri, R Gupta Journal of Risk 23 (3), 2021 | 13 | 2021 |
| Are BRICS exchange rates chaotic? V Plakandaras, R Gupta, LA Gil-Alana, ME Wohar Applied Economics Letters 26 (13), 1104-1110, 2019 | 13 | 2019 |
| The effects of geopolitical uncertainty in forecasting financial markets: A machine learning approach V Plakandaras, P Gogas, T Papadimitriou Algorithms 12 (1), 1, 2018 | 13 | 2018 |
| The Informational Content of the Term-Spread in Forecasting the US Inflation Rate: A Nonlinear Approach V Plakandaras, P Gogas, T Papadimitriou, R Gupta Journal of Forecasting, Early View, 2016 | 12 | 2016 |
| Directional forecasting in financial time series using support vector machines: The USD/Euro exchange rate V Plakandaras, P Gogas, T Papadimitriou Journal of Computational Optimisation on Economics and Finance 5 (2), 126-139, 2013 | 11 | 2013 |
| US inflation dynamics on long-range data V Plakandaras, P Gogas, R Gupta, T Papadimitriou Applied Economics 47 (36), 3874-3890, 2015 | 10 | 2015 |
| Fiscal shocks and asymmetric effects: a comparative analysis I Praggidis, P Gogas, V Plakandaras, T Papadimitriou arXiv preprint arXiv:1312.2693, 2013 | 10 | 2013 |
| Forecasting the insolvency of US banks using support vector machines (SVMs) based on local learning feature selection T Papadimitriou, P Gogas, V Plakandaras, JC Mourmouris International Journal of Computational Economics and Econometrics 3 (1-2), 83-90, 2013 | 10 | 2013 |
Periklis GogasDemocritus University of ThraceVerified email at econ.duth.gr
