This article examines the characteristics of key measures of volatility for different types of futures contracts to provide a better foundation for modeling volatility behavior and derivative values. Particular attention is focused on analyzing how different measures of volatility affect volatility
Realized volatility and correlation in energy futures markets
✍ Scribed by Tao Wang; Jingtao Wu; Jian Yang
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 273 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Using high‐frequency returns, realized volatility and correlation of the NYMEX light, sweet crude oil, and Henry‐Hub natural gas futures contracts are examined. The unconditional distributions of daily returns and daily realized variances are non‐Gaussian, whereas the distributions of the standardized returns (normalized by the realized standard deviation) and the (logarithms of) realized standard deviations appear approximately Gaussian. The (logarithms of) standard deviations exhibit long‐memory, but the realized correlation between the two futures does not, implying rather weak inter‐market linkage in the long run. There is evidence of asymmetric volatility for natural gas but not for crude oil futures. Finally, realized crude oil futures volatility responds with an increase in the weeks immediately before the OPEC events recommending price increases. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:993–1011, 2008
📜 SIMILAR VOLUMES
## Abstract Five‐minute returns from FTSE‐100 index futures contracts are used to obtain accurate estimates of daily index volatility from January 1986 to December 1998. These realized volatility measures are used to obtain inferences about the distributional and autocorrelation properties of FTSE‐
Recent work offers mixed results regarding the nature of intraday volatility patterns in futures markets and, specifically, the existence of spikes in futures return volatility during the middle of the U.S. trading day (Crain & Lee, 1995;Kawaller, Koch, & Peterson, 1994). This note analyzes time and
## Abstract In this study, we examine the possibility of long‐range dependence in some energy futures markets for different maturities. In order to test for persistence, we use a variety of techniques based on non‐parametric, semi‐parametric and parametric methods. The results indicate that there i
## Abstract Crude oil, heating oil, and unleaded gasoline futures contracts are simultaneously analysed for their effectiveness in reducing price volatility for an energy trader. A conceptual model is developed for a trader hedging the ‘crack spread’. Various hedge ratio estimation techniques are c