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Forecasting stock market volatility: an asymmetric condition
Forecasting stock market volatility: an asymmetric condition
Forecasting stock market volatility: an asymmetric conditional autoregressive range mixed data sampling (ACARR-MIDAS) model
This paper proposes an extension of the classical CARR model, the ACARR-MIDAS model, to model volatility and capture the volatility asymmetry as well as
Related Keywords
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Generalised Autoregressive Conditional Heteroscedasticity Garch ,
Stock Market ,
Forecasting ,
Stochastic Volatility ,
Original Research ,