World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
39
Citations
7800
World Ranking
2404
National Ranking
39

Mathematics

D-Index
35
Citations
6251
World Ranking
2741
National Ranking
47

Overview

Olivier Scaillet is affiliated with the University of Geneva in Switzerland and has contributed extensively to the field of Economics, Econometrics, and Finance through a variety of research publications.

Their research spans multiple subfields, including Finance, Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance, and Aerospace Engineering. The diversity of these areas highlights a broad engagement with both theoretical and applied aspects of economic and financial studies.

The main topics of their work cover important areas such as Financial Markets and Investment Strategies, Financial Risk and Volatility Modeling, Monetary Policy and Economic Impact, Complex Systems and Time Series Analysis, Market Dynamics and Volatility, Stochastic Processes and Financial Applications, and Spatial and Panel Data Analysis.

Olivier Scaillet has published in various scholarly venues with repeated contributions to the SSRN Electronic Journal and arXiv (Cornell University). Other significant publication outlets include the Journal of Financial Economics, Management Science, and the Journal of Econometrics.

  • SSR Electronic Journal
  • arXiv (Cornell University)
  • Journal of Financial Economics
  • Management Science
  • Journal of Econometrics

The scientist has collaborated frequently with several coauthors, notably Patrick Gagliardini, Alain-Philippe Fortin, Gaetan Bakalli, Stéphane Guerrier, and Roberto Molinari, indicating active involvement in collaborative research networks.

  • Patrick Gagliardini
  • Alain-Philippe Fortin
  • Gaetan Bakalli
  • Stéphane Guerrier
  • Roberto Molinari

Recent papers by Olivier Scaillet demonstrate a focus on risk measurement, financial markets, and econometric methods. These include:

  • Nonparametric Estimation of Conditional Expected Shortfall, 2023, Assurances et gestion des risques
  • Eigenvalue Tests for the Number of Latent Factors in Short Panels, 2023, Journal of Financial Econometrics
  • Factors and Risk Premia in Individual International Stock Returns, 2021, Journal of Financial Economics
  • Skill, Scale, and Value Creation in the Mutual Fund Industry, 2021, The Journal of Finance
  • Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures, 2020, Management Science

The body of work reflects engagement with advanced financial risk and volatility modeling and the development and application of new econometric techniques to understand market dynamics and investment strategies.

Best Publications

  • False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas.

    Laurent Richard Barras;Olivier Scaillet;R. Wermers

  • Sensitivity Analysis of Values at Risk

    Christian Gourieroux;Jean-Paul Laurent;Olivier Scaillet

  • NONPARAMETRIC ESTIMATION AND SENSITIVITY ANALYSIS OF EXPECTED SHORTFALL

    Olivier Scaillet

  • Technical trading revisited: false discoveries, persistence tests, and transaction costs

    Pierre Georges Bajgrowicz;Olivier Scaillet

  • Time-Varying Risk Premium in Large Cross-Sectional Equity Data Sets

    Patrick Gagliardini;Elisa Ossola;Olivier Scaillet;Olivier Scaillet

  • NONPARAMETRIC ESTIMATION OF COPULAS FOR TIME SERIES

    Jean-David Fermanian;Olivier Scaillet

  • Nonparametric Estimation of Copulas for Time Series

    O. Scaillet;O. Scaillet;Jean-David Fermanian

  • Testing for equality between two copulas

    Bruno Rémillard;Olivier Scaillet

  • Density estimation using inverse and reciprocal inverse Gaussian kernels

    Olivier Scaillet

  • Jumps in High-Frequency Data: Spurious Detections, Dynamics, and News

    Pierre Georges Bajgrowicz;Olivier Scaillet;Adrien Treccani

  • The estimation of copulas : theory and practice

    Arthur Charpentier;Jean-David Fermanian;Olivier Scaillet

  • On the Way to Recovery: A Nonparametric Bias Free Estimation of Recovery Rate Densities

    Olivier Renault;Olivier Scaillet

  • High-Frequency Jump Analysis of the Bitcoin Market

    Olivier Scaillet;Adrien Treccani;Christopher Trevisan

  • Nonparametric Estimation of Conditional Expected Shortfall

    Olivier Scaillet

  • Testing for continuous-time models of the short-term interest rate

    Laurence Broze;Laurence Broze;Olivier Scaillet;Jean-Michel Zakoïan

  • LINEAR-QUADRATIC JUMP-DIFFUSION MODELING

    Peng Cheng;Olivier Scaillet

  • Consistency of asymmetric kernel density estimators and smoothed histograms with application to income data

    Taoufik Bouezmarni;Olivier Scaillet

  • A Kolmogorov-Smirnov Type Test for Positive Quadrant Dependence

    Olivier Scaillet

  • Some Statistical Pitfalls in Copula Modeling for Financial Applications

    Jean-David Fermanian;Olivier Scaillet

  • Approximation and Calibration of Short-Term Implied Volatilities Under Jump-Diffusion Stochastic Volatility

    Alexey Medvedev;Olivier Scaillet

Frequent Co-Authors

Michel Denuit
Michel Denuit Université Catholique de Louvain
Christian Gourieroux
Christian Gourieroux Toulouse School of Economics
Jean-Michel Zakoian
Jean-Michel Zakoian École Nationale de la Statistique et de l'Administration Économique
Russ Wermers
Russ Wermers University of Maryland, College Park
Elvezio Ronchetti
Elvezio Ronchetti University of Geneva
Jens Perch Nielsen
Jens Perch Nielsen City, University of London
Amine Lahiani
Amine Lahiani University of Orléans
Oliver Linton
Oliver Linton University of Cambridge
Naser El-Sheimy
Naser El-Sheimy University of Calgary
Elie Bouri
Elie Bouri Lebanese American University

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