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On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model
Computational Economics, 2023Xiaolong Tang +3 more
semanticscholar +1 more source
, 2020
This study forecasts the monthly realized volatility of the US stock market covering the period of February, 1885 to September, 2019 using a recently developed novel approach – a moving average heterogeneous autoregressive (MAT-HAR) model, which treats ...
Afees A. Salisu +2 more
semanticscholar +1 more source
This study forecasts the monthly realized volatility of the US stock market covering the period of February, 1885 to September, 2019 using a recently developed novel approach – a moving average heterogeneous autoregressive (MAT-HAR) model, which treats ...
Afees A. Salisu +2 more
semanticscholar +1 more source
Transition Risk, Physical Risk, and the Realized Volatility of Oil and Natural Gas Prices
Social Science Research Network, 2023Afees A. Salisu, U. Ndako, X. V. Vo
semanticscholar +1 more source
Dynamic volatility management: from conditional volatility to realized volatility
Journal of Investment Strategies, 2019The volatility of concern in conventional volatility-managed strategies such as volatility-targeting strategy and mean-variance optimization is the expected conditional volatility. However for investors, it is the realized volatility that is important, because there is only one realization in the market.
Rongju Zhang +3 more
openaire +1 more source
Intraday Realized Volatility Measures
2015This chapter presents techniques for the construction of realized volatility measures. The focus is on the creation of a realized volatility measure which will be accurate and straightforward to implement, i.e. not extremely complicated in its construction, not too time consuming in its computation.
Stavros Degiannakis, Christos Floros
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Modeling returns volatility: Realized GARCH incorporating realized risk measure
Physica A: Statistical Mechanics and its Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiang, Wei +3 more
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Forecasting realized volatility with machine learning: Panel data perspective
Journal of Empirical Finance, 2023Haibin Zhu, Lu Bai, Lidan He, Zhi Liu
semanticscholar +1 more source
Realized Volatility Forecasting: Applications
2015The realized volatility is constructed based on ultra-high frequency data for three stock indices and the euro to yen exchange rate. The sampling frequency is selected according to the volatility signature plot, and the realized volatility is adjusted to changes in the prices during the hours that the markets are closed.
Stavros Degiannakis, Christos Floros
openaire +1 more source
Trading Volume and Realized Volatility Forecasting: Evidence from the China Stock Market
Journal of Forecasting, 2022Min Liu +3 more
semanticscholar +1 more source

