| 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 | 272 | 2018 |
| Forecasting the US real house price index V Plakandaras, R Gupta, P Gogas, T Papadimitriou Economic Modelling 45, 259-267, 2015 | 144 | 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 | 114 | 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 | 79 | 2015 |
| Geopolitical risk as a determinant of renewable energy investments F Flouros, V Pistikou, V Plakandaras Energies 15 (4), 1498, 2022 | 56 | 2022 |
| 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 | 43 | 2017 |
| The effects of geopolitical uncertainty in forecasting financial markets: A machine learning approach V Plakandaras, P Gogas, T Papadimitriou Algorithms 12 (1), 1, 2018 | 41 | 2018 |
| Market sentiment and exchange rate directional forecasting V Plakandaras, T Papadimitriou, P Gogas, K Diamantaras Algorithmic Finance, 2015 | 40 | 2015 |
| Public Debt and Private Consumption in OECD countries P Gogas, T Papadimitriou, V Plakandaras Journal of Economic Asymmetries 11, 1-7, 2014 | 34 | 2014 |
| 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 | 32 | 2020 |
| Forecasting transportation demand for the US market V Plakandaras, T Papadimitriou, P Gogas Transportation Research Part A: Policy and Practice 126, 195-214, 2019 | 32 | 2019 |
| 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 | 31 | 2019 |
| 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 | 31 | 2017 |
| 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 | 25 | 2021 |
| Spillover of sentiment in the European Union: Evidence from time-and frequency-domains V Plakandaras, AK Tiwari, R Gupta, Q Ji International Review of Economics & Finance 68, 105-130, 2020 | 22 | 2020 |
| Persistence of economic uncertainty: a comprehensive analysis V Plakandaras, R Gupta, ME Wohar Applied Economics 51 (41), 4477-4498, 2019 | 22 | 2019 |
| 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 | 18 | 2016 |
| Are BRICS exchange rates chaotic? V Plakandaras, R Gupta, LA Gil-Alana, ME Wohar Applied Economics Letters 26 (13), 1104-1110, 2019 | 17 | 2019 |
| Hedge and safe-haven properties of FAANA against gold, US Treasury, bitcoin, and US Dollar/CHF during the pandemic period I Yousaf, V Plakandaras, E Bouri, R Gupta The North American Journal of Economics and Finance 64, 101844, 2023 | 16 | 2023 |
| Oil market efficiency under a machine learning perspective A Dimitriadou, P Gogas, T Papadimitriou, V Plakandaras Forecasting 1 (1), 157-168, 2018 | 14 | 2018 |
Rangan GuptaUniversity of Pretoria在 up.ac.za 的电子邮件经过验证
