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Yang & Zhang’s realized volatility: Automated estimation in Python
Hugo Gobato Souto; Amir Moradi
A novel loss function for neural network models exploring stock realized volatility using Wasserstein Distance
Hugo Gobato Souto; Amir Moradi
FinTDA: Python package for estimating market change through persistent homology diagrams
Hugo Gobato Souto (Student); Amir Moradi (Onderzoeker); Ismail Baris; Storm Koert Heuvel
Wasserstein distance loss function for financial time series deep learning
Hugo Gobato Souto (Student); Amir Moradi (Onderzoeker)
Unraveling the ESG Reporting Landscape: A Comprehensive Analysis of Standards, Frameworks, and Impact on Firms
Amir Moradi (Onderzoeker); Hugo Gobato Souto (Onderzoeker); Ákos Tóth-Pajor
Introducing NBEATSx to realized volatility forecasting
Hugo Gobato Souto; Amir Moradi