Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference98 articles.
1. Answering the skeptics: Yes, standard volatility models do provide accurate forecasts;Andersen;International Economic Review,1998
2. Roughing it up: Including jump components in the measurement, modeling, and forecasting of return volatility;Andersen;The Review of Economics and Statistics,2007
3. Modeling and forecasting realized volatility;Andersen;Econometrica,2003
4. Econometric analysis of realized volatility and its use in estimating stochastic volatility models;Barndorff-Nielsen;Journal of the Royal Statistical Society, Series B,2002
5. Power and bipower variation with stochastic volatility and jumps;Barndorff-Nielsen;Journal of Financial Econometrics,2004
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