Multivariate Realized Volatility Forecasting with Graph Neural Network

Author:

Chen Qinkai1,Robert Christian-Yann2

Affiliation:

1. Ecole Polytechnique, France and ExodusPoint Capital Management, France

2. ENSAE Paris, France

Publisher

ACM

Reference43 articles.

1. Torben G Andersen and Tim Bollerslev. 1998. Answering the skeptics: Yes standard volatility models do provide accurate forecasts. International economic review(1998) 885–905. Torben G Andersen and Tim Bollerslev. 1998. Answering the skeptics: Yes standard volatility models do provide accurate forecasts. International economic review(1998) 885–905.

2. Torben G Andersen Tim Bollerslev Peter Christoffersen and Francis X Diebold. 2005. Volatility forecasting. Torben G Andersen Tim Bollerslev Peter Christoffersen and Francis X Diebold. 2005. Volatility forecasting.

3. Sercan  O Arık and Tomas Pfister . 2020 . Tabnet: Attentive interpretable tabular learning. arXiv (2020). Sercan O Arık and Tomas Pfister. 2020. Tabnet: Attentive interpretable tabular learning. arXiv (2020).

4. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

5. Ole E Barndorff-Nielsen P Reinhard Hansen Asger Lunde and Neil Shephard. 2009. Realized kernels in practice: Trades and quotes. Ole E Barndorff-Nielsen P Reinhard Hansen Asger Lunde and Neil Shephard. 2009. Realized kernels in practice: Trades and quotes.

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