Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting

Author:

Michańków Jakub1,Kwiatkowski Łukasz2,Morajda Janusz2

Affiliation:

1. University of Warsaw; Kraków University of Economics, Poland

2. Kraków University of Economics, Poland

Publisher

University of Gdańsk

Reference35 articles.

1. 1. Bollerslev, T.: Generalized Autoregressive Conditional Heteroskedasticity, Journal of Econometrics 31 (3): 307-3 (1986)

2. 2. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv:1412.3555 [cs.NE], https://arxiv.org/abs/1412.3555, Accessed 22 August 2023, (2014)

3. 3. Christoffersen, P.F.: Evaluating Interval Forecasts. International Economic Review 39(4): 841-862 (1998)

4. Testing and Comparing Value-at-Risk Measures;Christoffersen;Journal of Empirical Finance,2001

5. Comparing Predictive Accuracy;Diebold;Journal of Business & Economic Statistics,1995

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