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Stock market volatility forecasting: Do we need high-frequency data?
International Journal of Forecasting, 2021Ing. Štefan Lyócsa +2 more
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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
Forecasting volatility of the U.S. oil market
Journal of Banking and Finance, 2014Peter Molnár +2 more
exaly
Forecasting the volatility of Bitcoin: The importance of jumps and structural breaks
European Financial Management, 2020Andrew Urquhart +2 more
exaly
Using neural networks for forecasting volatility of S&P 500 Index futures prices
Journal of Business Research, 2004Zahid Iqbal
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Modeling and forecasting exchange rate volatility in time-frequency domain
European Journal of Operational Research, 2016Jozef Baruník +2 more
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Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets
Energy Economics, 2019Yaojie Zhang, Feng Ma
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