Quant GANs : deep generation of financial time series
Year of publication: |
2020
|
---|---|
Authors: | Wiese, Magnus ; Knobloch, Robert ; Korn, Ralf ; Kretschmer, Peter |
Subject: | Financial modeling | Generative adversarial networks | Machine learning | Risk neutral simulation | Temporal convolutional networks | Time series | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Simulation | Portfolio-Management | Portfolio selection |
-
ARIMA and LSTM: a comparative analysis of financial time series forecasting
Gonçalves, João Vitor Matos, (2023)
-
Michańków, Jakub, (2023)
-
Supervised autoencoder MLP for financial time series forecasting
Bieganowski, Bartosz, (2024)
- More ...
-
Oktoviany, Prilly, (2021)
-
Oktoviany, Prilly, (2021)
-
Sig-Splines : Universal Approximation and Convex Calibration of Time Series Generative Models
Wiese, Magnus, (2023)
- More ...