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Cryptocurrency Market Volatility Forecasting

Proceedings of the 2023 6th International Conference on Computers in Management and Business, 2023
openaire   +1 more source

Market Volatility and Models for Forecasting Volatility

This chapter delves into market volatility and its forecasting models in the dynamic financial landscape. It examines factors driving volatility, quantification approaches, and diverse models. From traditional to advanced models and deep learning techniques like RNNs, LSTMs, BiLSTMs, and GRUs, it enriches our understanding of market dynamics.
openaire   +1 more source

Realized volatility forecast with the Bayesian random compressed multivariate HAR model

International Journal of Forecasting, 2020
Jiawen Luo, Langnan Chen
exaly  

Forecasting financial market volatility: Sample frequency vis-à-vis forecast horizon

Journal of Empirical Finance, 1999
Tim Bollerslev, Torben G Andersen
exaly  

Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches

International Review of Economics and Finance, 2017
Steven Li, Langnan Chen
exaly  

Quantile forecast combinations in realised volatility prediction

Journal of the Operational Research Society, 2019
Ekaterini Panopoulou   +2 more
exaly  

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