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Harald Lohre supervises 1 postgraduate research students. If these students have produced research profiles, these are listed below:

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Dr Harald Lohre

Honorary Researcher

Harald Lohre

The Management School

LA1 4YX

Lancaster

Research overview

Dr. Harald Lohre is Executive Director of Research and serves on the Quant Equity Research Management Team of Robeco. Previously, he was a member of the global management team at Invesco Quantitative Strategies, managing multi-asset activities and research. Prior to that, Harald was the Head of Quantitative Research and Portfolio Manager on the Quantitative Asset Allocation Team of Deka Investment GmbH. Before joining Deka, he had completed his Doctoral Studies in Finance summa cum laude at the University of Zurich while working as an Analyst in the Quantitative Strategies Team of Union Investment. Harald holds a Diploma in Mathematical Finance from the University of Konstanz and is a past Fellow of the Centre for Endowment Asset Management (CEAM), Cambridge Judge Business School.

Being an Honorary Researcher at the Department of Accounting and Finance of Lancaster University Management School as well as a Research Fellow at the Hamburg Financial Research Center, Harald constantly bridges theory and practice to identify and manage salient drivers of capital market returns using quantitative techniques. His work has been widely published in academic and practitioner journals alike, including the Journal of Empirical Finance, the Financial Analysts Journal, European Financial Management, the Journal of Portfolio Management, the Journal of Fixed Income, or the Journal of Risk. Harald has been awarded several research grants, and he is the winner of The Sir Clive Granger Memorial Best Paper Prize. Harald serves on the research committee of Inquire Europe and as Associate Editor of the Journal of Systematic Investing. In 2023, Harald was recognized as one of the Top 25 Leaders in Systematic and Volatility Investing by EQDerivatives.

Dr. Lohre’s research can be accessed and downloaded through SSRN

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