VaR and ES forecasting via recurrent neural network-based stateful models
Year of publication: |
2024
|
---|---|
Authors: | Qiu, Zhiguo ; Lazar, Emese ; Nakata, Keiichi |
Subject: | Expected shortfall | Machine learning | Neural networks | Risk models | Value-at-Risk | Neuronale Netze | Risikomaß | Risk measure | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Risikomanagement | Risk management | Theorie | Theory | Portfolio-Management | Portfolio selection |
-
Becker, Ying L., (2020)
-
Luo, Yi, (2025)
-
Lost in noise? : some thoughts on the use of machine learning in financial market risk measurement
Quell, Peter, (2023)
- More ...
-
Nakata, Keiichi, (2011)
-
Cognitive process modelling of controllers in en route air traffic control
Inoue, Satoru, (2012)
-
A method for conflict detection based on team intention inference
Kanno, Taro, (2006)
- More ...