Follow
Tony Guida
Tony Guida
Senior Quantitative PM
Verified email at ram-ai.com - Homepage
Title
Cited by
Cited by
Year
Big Data and Machine Learning in quantitative Investment
T Guida
Wiley finance series, 380, 2018
452018
Machine learning for factor investing: R version
G Coqueret, T Guida
Chapman and Hall/CRC, 2020
432020
Stock returns and the cross-section of characteristics: A tree-based approach
G Coqueret, T Guida
Available at SSRN 3169773, 2018
142018
Ensemble learning applied to quant equity: gradient boosting in a multifactor framework
T Guida, G Coqueret
Big data and machine learning in quantitative investment, 129-148, 2019
102019
Application of GARCH models in forecasting the volatility of agricultural commodities
T Guida, O Matringe
Finance, 2005
82005
Training trees on tails with applications to portfolio choice
G Coqueret, T Guida
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3403009, 2019
72019
Machine Learning in Systematic Equity Allocation: A Model Comparison
T Guida, G Coqueret
Wilmott 2018 (98), 24-33, 2018
42018
Machine Learning for Factor Investing: Python Version
G Coqueret, T Guida
CRC Press, 2023
22023
Application of GARCH Models in Forecasting the Volatility of Agricultural Commodities
O Matringe, T Guida
Available at SSRN 871166, 2004
12004
Genetic Algorithms: A Heuristic Approach to Multi-Dimensional Problems
P Huber, T Guida
Available at SSRN 3451302, 2019
2019
Stock Returns and the Cross-Section of Characteristics: A Tree-Based Approach
T Guida, G Coqueret
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3169773, 2018
2018
Building Multi-Factor Portfolios: Challenges to Consider and How to Overcome Them
T Guida, B Raffin
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3066646, 2017
2017
Asset Owner Case Study: Understand Factor Traps Using Machine Learning
T Guida
EQDerivatives Europe 2017, Barcelona, 2016
2016
Commodity Trading Advisors: Are they a threat for futures commodity markets?
T Guida
Available at SSRN 942493, 2006
2006
The system can't perform the operation now. Try again later.
Articles 1–14