Sébastien Lleo

Sébastien Lleo

NEOMA Business School

H-index: 15

Europe-France

About Sébastien Lleo

Sébastien Lleo, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at NEOMA Business School, specializes in the field of mathematical finance, portfolio theory, stochastic analysis, risk management.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the separation of estimation and control in risk-sensitive investment problems under incomplete observation

Do Factor Models Explain Breaks in the Distribution of Equity Returns?

Changepoint Detection in the Cross-Section of Stock Returns

Range-Based Volatility Timing

Crash Prediction Using Fundamental Variables: Evidence from Mainland China

Online Appendix for

Jump-diffusion risk-sensitive benchmarked asset management with traditional and alternative data

Risk‐sensitive benchmarked asset management with expert forecasts

Sébastien Lleo Information

University

Position

___

Citations(all)

664

Citations(since 2020)

353

Cited By

465

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

23

i10Index(since 2020)

14

Email

University Profile Page

NEOMA Business School

Google Scholar

View Google Scholar Profile

Sébastien Lleo Skills & Research Interests

mathematical finance

portfolio theory

stochastic analysis

risk management

Top articles of Sébastien Lleo

Title

Journal

Author(s)

Publication Date

On the separation of estimation and control in risk-sensitive investment problems under incomplete observation

European Journal of Operational Research

Sébastien Lleo

Wolfgang J Runggaldier

2024/2/1

Do Factor Models Explain Breaks in the Distribution of Equity Returns?

The Journal of Portfolio Management

Sébastien Lleo

William T Ziemba

Jessica Li

2024/1/2

Changepoint Detection in the Cross-Section of Stock Returns

Available at SSRN 4404148

Sebastien Lleo

William T Ziemba

Jessica Li

2023/3/29

Range-Based Volatility Timing

The Journal of Portfolio Management

Thorsten Lehnert

Sébastien Lleo

William T Ziemba

Jessica Li

Jennifer Bender

...

2023/12/6

Crash Prediction Using Fundamental Variables: Evidence from Mainland China

The Journal of Prediction Markets

Sébastien Lleo

William T Ziemba

2023/7/19

Online Appendix for

Pablo Cuba-Borda

Sanjay R Singh

2023/12

Jump-diffusion risk-sensitive benchmarked asset management with traditional and alternative data

Annals of Operations Research

Mark Davis

Sébastien Lleo

2022/12/26

Risk‐sensitive benchmarked asset management with expert forecasts

Mathematical Finance

Mark HA Davis

Sébastien Lleo

2021/10

Using a mean changing stochastic processes exit-entry model for stock market long-short prediction

Available at SSRN 3873496

Sebastien Lleo

Mikhail Zhitlukhin

William T Ziemba

2021/6/2

Stock Market Crashes in 2006–2009: Were We Able to Predict Them?

Sebastien Lleo

William T Ziemba

2020

Exploring Breaks in the Distribution of Stock Returns: Empirical Evidence from Apple Inc.

Available at SSRN 3700419

Sebastien Lleo

William T Ziemba

Jessica Li

2020/9/27

A stopping rule model for exiting bubble-like markets with applications

William T Ziemba

Sebastien Lleo

Mikhail Zhitlukhin

2020

Stochastic Disorder Problems: by Albert N. Shiryaev, Springer (2019). E-Book. ISBN 978-3-030-01526-8.

Sébastien Lleo

2020/7/2

Infinite Powers: The Story of Calculus-The Language of the Universe: by Steven Strogatz, Houghton Mifflin Harcourt (2019). Hardback. ISBN 978-1328879981.

Sébastien Lleo

2020/4/2

Debiased expert forecasts in continuous-time asset allocation

Journal of Banking & Finance

Mark Davis

Sébastien Lleo

2020/4/1

Machine Learning: An Applied Mathematics Introduction: by Paul Wilmott, Panda Ohana Publishing,(2019). Paperback. ISBN 978-1916081604.

Sébastien Lleo

2020/3/3

Behavioral Benchmarked Investment Management with Expert Forecasts

Available at SSRN 3754205

Sebastien Lleo

Mark Davis

2020/12/20

See List of Professors in Sébastien Lleo University(NEOMA Business School)

Co-Authors

H-index: 6
Mark H.A. Davis

Mark H.A. Davis

Imperial College London

H-index: 4
Grzegorz Andruszkiewicz

Grzegorz Andruszkiewicz

Imperial College London

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