New Candidate Fellow: Sean Telg

His research interests lie in de field of time series econometrics. In particular, he focuses on dynamic models which are non-Gaussian, noncausal and/or non-invertible and demonstrate their ability to model macroeconomic and financial data containing speculative bubbles or asymmetric cycles.

Sean obtained his doctorate at Maastricht University in 2017.