Books
Perspectives in ESG equity investing
CRC / Chapman Hall - March 2022
Order on on the publisher’s website, Amazon (France), Amazon (US)
or Amazon (UK)
Website: http://www.esgperspectives.com
Early working paper version on SSRN
Machine learning for factor investing (with T. Guida)
CRC / Chapman Hall, September 2020
Order on on the publisher’s website, Amazon (France), Amazon (US)
or Amazon (UK)
Website: http://www.mlfactor.com
Material: https://github.com/shokru/mlfactor.github.io/tree/master/material
Slides: [html]
Ongoing research (working papers)
- Spurious accuracy in predictive regressions (with R. Deguest): material
- Dirichlet policies for reinforced factor portfolios (with E. André): SSRN
- Distribution shifts in predictive panels (with B. Tavin): SSRN - R notebook
- Characteristics-driven returns in equilibrium: SSRN - R notebook
- Supervised portfolios (with G. Chevalier & T. Raffinot): SSRN - Colab (python) notebook
- ESG news spillovers to (and from) the supply chain (with V. Le Tran): SSRN
- Forking paths in empirical studies: SSRN - R Notebook
- Scope 3 emissions and their impact on green portfolios (with T. Anquetin, B. Tavin & L. Welgryn): SSRN
Published Academic Articles
FINANCE & ECONOMICS
- A note on implied correlation for bivariate contracts,
Economics Bulletin, Vol. 40, No. 2 (2020), pp. 1388-1396 (with B. Tavin) [Link] - Procedural Rationality, Asset Heterogeneity and Market Selection,
Journal of Mathematical Economics, Vol. 82 (2019), pp. 125-149 (with B. Tavin) [Link] [Working paper] - Empirical properties of a heterogeneous agent model in large dimensions,
Journal of Economic Dynamics & Control, Vol. 77 (2017), pp. 180-201 [Link] - Characteristics-based portfolio choice with leverage constraints,
Journal of Banking and Finance, Vol. 70 (2016), pp. 23-37 (with M. Ammann and J-P. Schade) [Link] [Working paper] - An investigation of model risk in a market with jumps and stochastic volatility,
European Journal of Operational Research, Vol. 253 (2016), pp. 648-658 (with B. Tavin) [Link] [Working paper] - Diversified minimum-variance portfolios,
Annals of Finance, Vol. 11, No. 2 (2015), pp. 221-241 [Link] - Lookback option prices under a spectrally negative tempered-stable model,
International Journal of Theoretical and Applied Finance, Vol. 16, No. 3 (2013) [Link]
DATA SCIENCE, PROBABILITY & STATISTICS
- Persistence in factor-based supervised learning models
Journal of Finance & Data Science, Vol. 8 (2022), pp. 12-34 [Link - Open Access] [Material] - Training trees on tails with applications to portfolio choice,
Annals of Operations Research, Vol. 288 (2020), pp. 181-221 (with T. Guida) [Link] [Working paper] [Material] - Approximate NORTA simulations for virtual sample generation,
Expert Systems With Applications, Vol. 73 (2017), pp. 69-81 [Link] - On the distribution of the supremum of the spectrally negative stable process with drift,
Statistics & Probability Letters, Vol. 107 (2015), pp. 333-340 [Link] - Second order risk aggregation with the Bernstein copula,
Insurance: Mathematics and Economics, Vol. 58 (2014), pp. 150-158 [Link] - Meromorphic Levy-Khintchine exponents with poles of order two,
Communications on Stochastic Analysis, Vol. 7, No. 2 (2013), pp. 179-198 [Link] - Approximation of probabilistic Laplace transforms and their inverses,
Communications in Applied Mathematics and Computational Science, Vol. 7, No. 2 (2012), pp. 231-246 [Link]
WINE BUSINESS
- Herding behavior among wine investors, Economic Modelling, Vol. 68 (2018), pp. 318-328 (with B. Aytac and C. Mandou) [Link]
- Optimal wine pricing for restaurants, Journal of Wine Economics, Vol. 10, No. 2 (2015), pp. 204-224 [Link]
In the Practitioner Press
- Tuning trend following strategies with macro ESG data,
Journal of Impact & ESG Investing, Vol. 2, No. 2 (2021), pp. 117-136 (with C. Morgenstern & J. Kelly) [Link] - Stock-specific sentiment and return predictability,
Quantitative Finance, Vol. 20, No. 9 (2020), pp. 1531-1551 [Link] [Working paper] - Machine learning in systematic equity allocation: a model comparison,
Wilmott Magazine, Vol. 2018, Issue 98 (2018), pp. 24-33 [Link] - Equity portfolios with improved liability-hedging benefits,
Journal of Portfolio Management, Vol. 43, No. 2 (Winter 2017), pp. 37-49 (with L. Martellini and V. Milhau) [Link]
Book Chapters
- Enhancing Environment-driven Portfolios with Traditional Factors, In Climate and Sustainable Investing edited by E. Jurczenko, 2022, (with J., Frey-Skött, C. Morgenstern, J. Kelly, B. Österberg, S. Stiernegrip)
- Ensemble learning applied to quant equity: gradient boosting in a multifactor framework, In Big Data and Machine Learning in Quantitative Investment edited by T. Guida, 2018 (with T. Guida)
Book Review
Machine Learning in Finance: From Theory to Practice (by Dixon, Halperin and Bilokon), Quantitative Finance, 2020 [Link]
Permanent Working Papers
- Boosting ESG-Based Optimization With Asset Pricing Characteristics, 2021 (with J., Frey-Skött, C. Morgenstern, J. Kelly, B. Österberg, S. Stiernegrip) [SSRN]
- Stock returns and the cross-section of characteristics: a tree-based approach, 2018 (with T. Guida) [PDF]
- Active allocation to smart factor indices, 2015 (with N. Amenc and L. Martellini) - Scientific Beta Research Paper [PDF]
- Estimation of covariance matrices for portfolio optimization, 2013 (with V. Milhau) - Scientific Beta Research Paper [PDF]
- Equity portfolios with improved liability-hedging benefits - Long Version (with R. Deguest, L. Martellini and V. Milhau) [PDF]
- Risk aggregation with the generalized logistic distribution, 2013 [PDF]
- Pricing exotic options in the Finite Moment Log-Stable model, 2012 [PDF]