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Stock market volatility forecasting: Do we need high-frequency data?

International Journal of Forecasting, 2021
Ing. Štefan Lyócsa   +2 more
exaly  

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

Modeling and Forecasting Realized Volatility

Econometrica, 2003
Tim Bollerslev   +2 more
exaly  

Forecasting volatility of the U.S. oil market

Journal of Banking and Finance, 2014
Peter Molnár   +2 more
exaly  

Forecasting the volatility of Bitcoin: The importance of jumps and structural breaks

European Financial Management, 2020
Andrew Urquhart   +2 more
exaly  

Modeling and forecasting exchange rate volatility in time-frequency domain

European Journal of Operational Research, 2016
Jozef Baruník   +2 more
exaly  

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