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On the universality of the volatility formation process: when machine
  learning and rough volatility agree

On the universality of the volatility formation process: when machine learning and rough volatility agree

28 June 2022
M. Rosenbaum
Jianfei Zhang
    OODAIFinAI4TS
ArXiv (abs)PDFHTML

Papers citing "On the universality of the volatility formation process: when machine learning and rough volatility agree"

3 / 3 papers shown
Title
Graph-Based Learning for Stock Movement Prediction with Textual and
  Relational Data
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
Qinkai Chen
C. Robert
AIFin
69
25
0
22 Jul 2021
A GMM approach to estimate the roughness of stochastic volatility
A GMM approach to estimate the roughness of stochastic volatility
Anine Eg Bolko
Kim Christensen
Mikko S. Pakkanen
Bezirgen Veliyev
38
34
0
09 Oct 2020
Universal features of price formation in financial markets: perspectives
  from Deep Learning
Universal features of price formation in financial markets: perspectives from Deep Learning
Justin A. Sirignano
R. Cont
AIFin
67
261
0
19 Mar 2018
1