Sébastien Lleo

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

Google Scholar

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

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