Swiss Finance Institute

The Swiss Finance Institute @ EPFL has been created to foster research in finance and to develop a strong offering of programs in finance and financial engineering at the Ecole Polytechnique Fédérale de Lausanne. The focus is on the areas within finance that have a natural interaction with mathematics, statistics, engineering, and science, namely, mathematical finance, financial econometrics, and entrepreneurial finance.

SFI teaching programs at EPFL

The Swiss Finance Institute @ EPFL participates in serveral teaching programs:

Partnership & outreach

Through its partnership with the Swiss Finance Institute (SFI), EPFL helps advance excellence in finance research, education, and industry outreach in Switzerland. SFI@EPFL faculty members are strongly represented in SFI’s Master Class program, regularly sharing their expertise with financial professionals across Switzerland, while also contributing to selected Knowledge Exchange Seminars that foster dialogue between academia and industry.

 

Fields of Competences

  • Asset pricing
  • Corporate finance and governance
  • Financial engineering
  • Financial technology
  • International finance
  • Risk management
  • Sustainable finance

Support

The Swiss Finance Institute @ EPFL benefits from the institutional support of the Swiss Finance Institute, a private foundation created in 2006 by Switzerland’s banking and finance community in cooperation with leading Swiss universities, and from Swissquote, who endowed the Swissquote Chair in Quantitative Finance.

UPCOMING EVENTS

RECENT PUBLICATIONS

Signaling with debt currency choice

E. Eren; S. Malamud; H. Zhou 

Journal of Financial Economics. 2026. Vol. 185, p. 104355. DOI : 10.1016/j.jfineco.2026.104355.

The Global Rise of Index-Based Ownership of Firms

B. Becker; R. Fahlenbrach; E. Mahdikhani 

2026

Machine Learning and the Implementable Efficient Frontier

T. I. Jensen; B. Kelly; S. Malamud; L. H. Pedersen 

The Review of Financial Studies. 2026. DOI : 10.1093/rfs/hhag022.

Risk reduced sparse index tracking portfolio: A topological data analysis approach

A. Goel; P. Pasricha; J. Kanniainen 

Omega (United Kingdom). 2026. Vol. 138, p. 103432. DOI : 10.1016/j.omega.2025.103432.

Essays in Venture Capital

L. R. Maudonado Bissoto / R. Fahlenbrach (Dir.)  

Lausanne, EPFL, 2026.