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Quantum Circuit Learning for Volatility Modeling: Multifractal Analysis of Realized Volatility Time Series
Herein, we propose a quantum circuit learning framework for modeling the realized volatility (RV) of Bitcoin and investigate the statistical properties of the predicted time series through multifractal analysis. Unlike conventional GARCH-type models, which require a pre-specified functional form for
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