Emanuele Guidotti

Emanuele Guidotti

Postdoctoral Researcher

University of Lugano (USI)

Biography

I am a postdoctoral researcher in Finance at the University of Lugano (USI) under the supervision of L. Frésard. I hold a Ph.D. in Finance from the University of Neuchâtel, which I obtained under the supervision of T.A. Kroencke. Previously, I obtained my M.Sc. in Quantitative Finance and B.Sc. in Physics from the University of Milan under the supervision of S.M. Iacus and A. Vicini, respectively. I am also a partner at Algo Finance Sagl (a software house startup developing algorithms for the asset management industry) and a member of the YUIMA team (an international research team in Computational Statistics affiliated with the Japan Science and Technology Agency CREST).

My research interests include financial markets, data science, and artificial intelligence. My work has been published in top venues in these fields (Journal of Financial Economics, Nature Scientific Data, and Neural Information Processing Systems). Currently, I am developing a theory of price formation in financial markets, which I plan to use to empirically study how the growing adoption of artificial intelligence in trading may impact prices, understand whether and how this may lead to a disconnection with fundamental values, and assess potential policy implications.

JOB OFFER (published November 5, 2024): I’m hiring a research assistant in Open Research Data with a Master’s or higher degree to work on the COVID-19 Data Hub, starting ASAP! The position is funded by the University of Lugano, Switzerland. Possibility to work partially or fully remotely. Read more here.

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Recent Publications

(2024). Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices. Journal of Financial Economics, vol. 161, pag. 103916.

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(2022). calculus: High Dimensional Numerical and Symbolic Calculus in R. Journal of Statistical Software, vol. 104(5), pag. 1–37.

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(2022). A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution. Scientific Data, vol. 9(1), pag. 1-7. Nature Publishing Group.

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Recent & Upcoming Talks

Institute for Mathematical Statistics - Asia-Pacific Rim Meeting (IMS-APRM)
Seminar at EPFL, Swiss Finance Institute
Seminar at Linköping University, Machine Learning Series (IDA)

Grants & Awards