Forecasting realized volatility through financial turbulence and neural networks
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Abstract
Suggested Citation
DOI: 10.18559/ebr.2023.2.737
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References listed on IDEAS
- Latoszek Michał & Ślepaczuk Robert, 2020.
"Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor,"
Economics and Business Review, Sciendo, vol. 6(1), pages 46-81, March.
- Michał Latoszek & Robert Ślepaczuk, 2019. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Working Papers 2019-14, Faculty of Economic Sciences, University of Warsaw.
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More about this item
Keywords
neural networks; LSTM neural networks; realized volatility prediction; financial turbulence;All these keywords.
JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- G19 - Financial Economics - - General Financial Markets - - - Other
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