PORTFOLIO OPTIMIZATION
MACHINE LEARNING STOCK PICKING
- Compare your current allocation with the results stemming from the market’s most powerful portfolio optimization algorithms.
- Rise your portfolio performance with the predictive power of machine learning.
- Discover which stocks will have a higher expected return per unit of risk.
OUR MODELS
- We employ over 30 portfolio optimization models : Bayesian, A.I., Online, Robust, Convex,…
- We calibrate our models on the base of your goals and risk budget.
- We provide a detailed backtesting of each model for each market.
- Our Adaptive algorithm select the best allocation given the current market condition and your investment goals.
- We deliver our customized results with a monthly report and we present them in a dedicated meeting.
SELECTED REFERENCES
- Basile Ignazio, Ferrari Pierpaolo, “Asset Management and Institutional Investors”, Springer, 2016
- De Prado Marcos Lopez, “Machine Learning for Asset Managers”, Cambridge University Press, 2020
- Fabozzi Frank et al. “Asset Management: tools and issues”, World Scientific, 2020
- Kissell Robert, “The Science of Algorithmic Trading and Portfolio Manangement”, Academic Press, 2013
- Meucci Attilio, “Risk and Asset Allocation”, Springer, 2005