Dr. Tsionas Mike
| Fonction | Full professor |
| Research themes | Econometrics, Applied Econometrics, Bayesian Technique in Time Series and Panel Data, Efficiency and Productivity and Banking Models |
| Teaching department | Finance, Control and Law |
| Contact | Mail: m.tsionas@montpellier-bs.com |
MB:
Tsionas, M. G. Forthcoming. Bayesian learning in performance: Is there any? European Journal of Operational Research.
MB:
Mamatzakis E., Ongena S., Patel P. & Tsionas M. Forthcoming. A bayesian policy learning model of COVID-19 non phamraceutical interventions. Applied Economics
Tsionas MG, Parmeter C. & Zelenyuk V. 2023. Bayesian artificial neural networks for frontier efficiency analysis. Journal of Econometrics, 236(2): 105491
Tsionas M.G. & Patel P. 2023. Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency. International Journal of Production Economics, 260: 108835.
Tsionas M.G. & Kumbhakar S.C. 2023. Productivity and performance: A GMM approach. Oxford Bulletin of Economics and Statistics, 85(2): 331-344.
Patel P., Tsionas MG & Oghazi P. 2023. Compensating income variation in health and subjective well-being for the self-employed. Journal of Business Research, 160: 113815.
Mamatzakis E. & Tsionas M. G. Forthcoming. Correcting for productivity growth misspecification: A local likelihood estimation in global banking. International Journal of Finance and Economics.
Tsionas MG. 2023. Minimax regret priors for efficiency estimation. European Journal of Operational Research, 309(3): 1279-1285.
Bu R., Hizmeri R., Izzeldin M., Murphy A. & Tsionas MG. 2023. The contribution of jump signs and activity to forecasting stock price volatility. Journal of Empirical Finance, 70: 144-164.
