Data Science & Forecasting
1. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Xidonas, Panos & Yfanti, Stavroula, 2023. “Carbon emissions and sustainability in Covid-19’s waves: evidence from a two-state dynamic Markov-switching regression (MSR) model” Annals of Operations Research, https://doi.org/10.1007/s10479-023-05184-x.
2. Daglis, Theodoros & Yfanti, Stavroula & Xidonas, Panos & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2023. “Does solar activity affect the price of crude oil? A causality and volatility analysis (2007-2020),” Finance Research Letters, https://doi.org/10.1016/j.frl.2023.103833.
3. Konstantakis, Konstantinos N. & Melissaropoulos Ioannis. G. & Cheilas, Panagiotis & Xidonas, Panos & Michaelides, Panayotis, G., 2022. “Supply Chains and Fake News: A novel Input-Output Neural Network approach for the US Food Sector,” Annals of Operations Research, https://doi.org/10.1007/s10479-022-04817-x.
4. Daglis, Theodoros & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2020. “The impact of Covid-19 on agriculture: evidence from oats and wheat markets,” Studies in Agricultural Economics, 122(3), pages 132-139.
5. Tsolas, Ioannis E., & Charles, Vincent & Gherman, Tatiana, 2020. ”Supporting Better Practice Benchmarking: A DEA-ANN Approach to Bank Branch Performance Assessment,” Expert Systems with Applications, Elsevier vol. 160, 113599, December.
6. Panayotis Michaelides & Mike Tsionas & Panos Xidonas, 2020. "A Bayesian Signals Approach for the Detection of Crises," Journal of Quantitative Economics, Springer; The Indian Econometric Society (TIES), vol. 18(3), pages 551-585, September.
7. Konstantakis, Konstantinos N. & Daglis, Theodoros & Michaelides, Panayotis G., 2020. “Modelling Sectoral Spillovers in the USA (1992-2015): A GVAR Approach,” Journal of Economic Studies, Emerald Group Publishing, vol. 47(3), pages 561-595.
8. Daglis, Theodoros & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2020. “The impact of Covid-19 on agriculture: evidence from oats and wheat markets,” Studies in Agricultural Economics, vol. 122 (3), pages 132-139.
9. Panayotis G. Michaelides & Olga Theodoratou & Konstantinos N. Konstantakis, 2020. "Inflammatory bowel disease and economic activity: panel data evidence for Europe," Applied Economics Letters, Taylor & Francis Journals, vol. 27(1), pages 72-76, January.
10. Marwan Izzeldin & Mike G. Tsionas & Panayotis G. Michaelides, 2019. "Multivariate stochastic volatility with large and moderate shocks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 887-917, June.
11. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer; Society for Computational Economics, vol. 51(3), pages 637-675, March.
12. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.
13. Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2015. "Step-by-Step Causality Revisited: Theory and Evidence," Economics Bulletin, AccessEcon, vol. 35(2), pages 871-877.
14. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
15. Tsionas, Efthymios G. & Michaelides, Panayotis G. & Vouldis, Angelos T., 2009. “Global Approximations to Cost and Production Functions using Artificial Neural Networks,” International Journal of Computational Intelligence Systems, Taylor & Francis Journals, vol. 2(2), pages 132‐139.