Forecasting energy futures volatility based on the unbiased extreme value volatility estimator
This paper uses the opening, high, low, and closing prices of five energy futures to estimate and model volatility based on the unbiased extreme value volatility estimator (the Add RS estimator). The statistical and distributional properties of the logarithm of the Add RS estimator support the use o...
Main Author: | Dilip Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-12-01
|
Series: | IIMB Management Review |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0970389617305372 |
Similar Items
-
Volatility Estimation and Forecasting of EGX30
by: Mona Samy Elkhouly
Published: (2017-01-01) -
Volatility predictability in crude oil futures: Evidence based on OVX, GARCH and stochastic volatility models
by: Zheng Zhang, et al.
Published: (2023-11-01) -
A New Forecasting Combination System for Predicting Volatility
by: Johanna M. Orozco, et al.
Published: (2013-10-01) -
Daily value-at-risk modeling and forecast evaluation: The realized volatility approach
by: Zhen Yao Wong, et al.
Published: (2016-09-01) -
Forecasting Spot and Future Gold Coin Price Volatility and Their Predictive Power on Each Other by Using ANN-GARCH Model
by: Nafiseh Shahmoradi, et al.
Published: (2021-03-01)