Risk premia in the term structure of crude oil futures: long-run and short-run volatility components

Author(s):  
Naomi Boyd ◽  
Bingxin Li ◽  
Rui Liu
2020 ◽  
pp. 097265272092762
Author(s):  
M. Thenmozhi ◽  
Shipra Maurya

This study examines the time-varying price risk transmission in the nexus between crude oil and agricultural commodity prices in the context of non-grain-based biofuel producing country. Analysis of the short- and long-run dynamics of volatility in both spot and futures markets of maize, soybean and wheat and crude oil prices using the multivariate BEKK-GARCH model, indicate volatility spillover from wheat futures to crude oil futures in the short run and from crude oil futures to futures markets of maize, soybean and wheat in the long run. The spot market linkage of selected commodities is weaker compared to futures market, wherein maize spot volatility transmits to crude oil spot market in the longer period and no spillover between crude oil-food spot market is observed in the short run. The hedge ratios indicate that a dynamic hedging strategy is crucial for efficient risk management and the portfolio weights in futures market are more than the spot market. The results reveal that cross-market volatility spillover is more evident in the futures market, while own past conditional volatility is more significant in spot price discovery and risk transmission is evident among food commodities futures markets. JEL Codes: G13, G14, Q11, Q18, Q02


Author(s):  
Hua Wang ◽  
Weige Huang

Due to increasing speculation, crude oil futures are now becoming one of the highest traded commodities. This paper studies the relationship between trading volume and serial correlation in crude oil futures returns using high frequency data. We find that volume can positively predict the serial correlation in the short run (within an hour) but negatively predict the serial correlation in the midterm. The trading volume is not able to consistently predict serial correlation in the long run (more than a day). The results from our empirical studies are robust to a variety of controls and our study gives a new insight in the relation between volume and serial correlation of crude oil futures returns.


2014 ◽  
Vol 42 ◽  
pp. 9-37 ◽  
Author(s):  
James D. Hamilton ◽  
Jing Cynthia Wu

2013 ◽  
Author(s):  
James Hamilton ◽  
Jing Cynthia Wu

2021 ◽  
pp. 105350
Author(s):  
Don Bredin ◽  
Conall O'Sullivan ◽  
Simon Spencer

1994 ◽  
Vol 16 (2) ◽  
pp. 99-105 ◽  
Author(s):  
Imad A. Moosa ◽  
Nabeel E. Al-Loughani

2011 ◽  
Vol 9 (7) ◽  
pp. 1 ◽  
Author(s):  
Paul Berhanu Girma

This study investigated if there is an asymmetric relationships between heating oil and crude oil futures price changes for maturities of one to four months. The study finds that heating oil and crude oil futures price series of one-month to four month maturities are threshold cointegrated. The study also shows that heating oil and crude oil futures prices adjust "Asymmetrically" for deviation from equilibrium. At shorter maturities (one and two month contracts) heating oil and crude oil prices adjust faster for positive deviation from threshold equilibrium. In contrast, for longer maturities (three and four month contracts) heating oil and crude oil prices adjust faster for negative deviation from equilibrium. Finally, this study finds that only heating oil prices adjust to clear deviations from long-run equilibrium relationship.


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