TI would like to welcome Aksel Erbahar, Rutger-Jan Lange, and Ran Xing who are joining TI as candidate fellows.

Aksel Erbahar is an assistant professor at the Erasmus School of Economics. He successfully defended his PhD thesis in September 2016 at the Graduate Institute of Geneva, Switzerland. He completed his BA in Brandeis University, United States, and obtained his MSc in Economics from the London School of Economics in 2010. After his MSc, he worked for two years at the World Bank in Washington DC, as a Consultant in the Trade Team of the Bank’s Research Department. Aksel is a member of the Macroeconomics and International Economics (MIE) research group of TI.

Rutger-Jan Lange is an assistant professor in Quantitative Finance at the Erasmus School of Economics. Before his current position, he completed two post-doctoral positions. During 2015-2016, he was a Finance post-doc at the the VU University Amsterdam, where he worked with TI fellow Andre Lucas on time-series econometrics and  GAS models to filter unobserved components.  During 2013-2015, he worked on similar topics with Professor Harvey in Cambridge, where they are known as DCS models.

Rutger-Jan completed his PhD in Operations Research at the Cambridge Judge Business School in 2012. Before that, he completed a Master’s degree (Part III) at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge. Rutger-Jan is a member of the Econometrics and Operations Research (ECTOR) research group of TI.

Ran Xing is an assistant professor of finance at the Erasmus School of Economics. Ran obtained his PhD  at Tilburg University earlier this year. He was a visiting scholar at The Wharton School, University of Pennsylvania in 2015. From 2008 – 2010 he worked as an analysist at Deloitte Beijing after having received an award from the Renmin University of China. Xing’s research interests stretch form mutual funds, price impact of trades, asset pricing, liquidity risk premium, portfolio choice. Ran is a member of TI’s Finance (FIN) research group.