Montpellier Business School

Dr. Tsionas Mike

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

Selected intellectual contributions

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.

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