Arnold obtained his Bachelor degree in Economics from the University of Bielefeld and completed his Doctorate in Quantitative Economics at the University of Alicante. He then held a postdoctoral research position at the University of Minnesota. Before joining the UEA, he lectured at Queen’s University Belfast. Arnold's research interests are mainly in socio-economic networks, game theory, financial economics with occasional ventures into other areas.

Key Publications in the last 5 years

Polanski, A. & Vega-Redondo, F. 2023, Homophily and influence, Journal of Economic Theory, 207

Polanski, A., 2019, Communication networks, externalities and the price of information. Rand Journal of Economics. 50, 2, p. 481-502

Polanski, A., Stoja, E. & Windmeijer, F., 2019, Telling tales from the tails: high-dimensional tail interdependence, Journal of Applied Econometrics. 34, 5, p. 779-794

Polanski, A. & Vega-Redondo, F., 2018, Coalition bargaining in repeated games, International Economic Review 59(4): 1949-1967

Work in progress

Polanski, A., Sikora, J., 2021, What can we learn from applying machine learning to bargaining?, submitted to European Economic Review

Stoja, E., Polanski, A. and L.H. Nguyen, 2022, The Taxonomy of Tail Risk, submitted to Review of Asset Pricing Studies

Stoja, E., Polanski, A. and Z. Li, 2023, Tails of the Expected 

Polanski, A., 2023, Stable Alliances 

09/2007:      Postgraduate Certificate in Higher Education Teaching, Queen’s University Belfast.

1/2005:        Postdoctoral studies at the University of Minnesota

11/2004:      Ph.D. in Economics (European Doctor Mention), University of Alicante. Thesis advisor: Prof. Fernando Vega-Redondo

09/1999:      MSc in Quantitative Economics, University of Alicante

12/1993:      MA in Economics (Diplom-Volkswirt), University Bielefeld

Chair of Faculty Appeals and Complaints Panel

Associate Admissions Director

Deputy Research Director

Research Impact Champion

Assistant Exam Officer

Programme Director for the MSc in Business Economics 

socio-economic networks,

information economics,

game theory,

financial economics,

financial (tail) risk

machine learning

socio-economic networks, game theory, financial tail risk