Vasilios Plakandaras
Vasilios Plakandaras
Assistant Professor, Democritus University of Thrace
Verified email at - Homepage
Cited by
Cited by
Forecasting the US real house price index
V Plakandaras, R Gupta, P Gogas, T Papadimitriou
Economic Modelling 45, 259-267, 2015
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
Market sentiment and exchange rate directional forecasting
V Plakandaras, T Papadimitriou, P Gogas, K Diamantaras
Algorithmic Finance, 2015
Forecasting daily and monthly exchange rates with machine learning techniques
V Plakandaras, T Papadimitriou, P Gogas
Journal of Forecasting 34 (7), 560-573, 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
Public Debt and Private Consumption in OECD countries
P Gogas, T Papadimitriou, V Plakandaras
Journal of Economic Asymmetries 11, 1-7, 2014
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
US inflation dynamics on long-range data
V Plakandaras, P Gogas, R Gupta, T Papadimitriou
Applied Economics 47 (36), 3874-3890, 2015
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
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, 1-37, 2018
Point and density forecasts of oil returns: The role of geopolitical risks
V Plakandaras, R Gupta, WK Wong
Resources Policy 62, 580-587, 2019
Are BRICS exchange rates chaotic?
V Plakandaras, R Gupta, LA Gil-Alana, ME Wohar
Applied Economics Letters 26 (13), 1104-1110, 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
Fiscal shocks and asymmetric effects: a comparative analysis
I Praggidis, P Gogas, V Plakandaras, T Papadimitriou
arXiv preprint arXiv:1312.2693, 2013
The term premium as a leading macroeconomic indicator
V Plakandaras, P Gogas, T Papadimitriou, R Gupta
International Review of Economics and Finance. Department of Economics …, 2016
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
Persistence of economic uncertainty: a comprehensive analysis
V Plakandaras, R Gupta, ME Wohar
Applied Economics 51 (41), 4477-4498, 2019
The role of housing sentiment in forecasting US home sales growth: evidence from a Bayesian compressed vector autoregressive model
R Gupta, CKM Lau, V Plakandaras, WK Wong
Economic research-Ekonomska istraživanja 32 (1), 2554-2567, 2019
Oil Market Efficiency under a Machine Learning Perspective
A Dimitriadou, P Gogas, T Papadimitriou, V Plakandaras
Forecasting 1 (1), 157-168, 2020
The Effects of Geopolitical Uncertainty in Forecasting Financial Markets: A Machine Learning Approach
V Plakandaras, P Gogas, T Papadimitriou
Algorithms 12 (1), 1, 2019
The system can't perform the operation now. Try again later.
Articles 1–20