NOVA School of Business and Economics (NOVA SBE)

Research interests

Iliyan Georgiev is Associate Professor of Econometrics at Nova School of Business and Economics. He received his PhD from the European University Institute in Florence. His academic research has theoretical focus and is concentrated on inference for time series exhibiting non-stationarity; it has lead to publications in journals like Econometric Theory, the Journal of Econometrics, the Econometrics Journal. Currently Georgiev is involved in a project on inference for infinite-variance data, exploiting both the asymptotic approach and the bootstrap.

Prior to his PhD, he worked on applied and policy issues at the governmental Agency for Economic Analysis and Forecasting in Bulgaria.

Georgiev teaches Mathematics and Econometrics in the Research Masters program of Nova.

Current research interests include: Non-stationary time series, infinite-variance time series, bootstrap inference.

Research output

  1. Unit root tests and heavy-tailed innovations

    Research output: Research - peer-reviewArticle

  2. Sieve-based inference for infinite-variance linear processes

    Research output: Research - peer-reviewArticle

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