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Multifractal models in finance : their origin, properties, and applications
Segnon, Mawuli, (2013)
Forecasting the risk of cryptocurrencies : comparison and combination of garch and stochastic volatility models
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Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution
Takahashi, Makoto, (2016)
Realized volatility forecasting with neural networks
Bucci, Andrea, (2020)
A smooth transition autoregressive model for matrix-variate time series
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Does macroeconomics help in predicting stock markets volatility comovements? : a nonlinear approach
Bucci, Andrea, (2019)