This paper proposes an augmented heterogenous autoregressive (HAR) model with time-varying jumps to forecast the realized volatility (RV) of crude oil futures. Jump-induced volatility of crude oil futures is obtained from a GARCH-jump process. then used to augment the HAR model. The results based on both the in-sample and out-of-sample analyses suggest that jumps offer added informati... https://threadheaders.shop/product-category/womens-tee/
Forecasting the volatility of crude oil futures: New evidence from jump-induced volatility
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