Market information and price volatility in petroleum derivatives spot and futures markets

1993 ◽  
Vol 15 (1) ◽  
pp. 17-24 ◽  
Author(s):  
S.M. Khalid Nainar
2020 ◽  
Vol 37 (1) ◽  
pp. 110-133 ◽  
Author(s):  
Panos Fousekis ◽  
Dimitra Tzaferi

Purpose This paper aims to investigate the contemporaneous link between price volatility and trading volume in the futures markets of energy. Design/methodology/approach Non-parametric (local linear) regression models and formal statistical tests are used to assess monotonicity, linearity and symmetry. The data are daily price and volumes from five futures markets (West Texas Intermediate, Brent, gasoline, heating oil and natural gas) in the USA. Findings Trading volume and price volatility have, in all markets, a strong nonlinear relation to each other. There are violations of monotonicity locally but not globally. The qualitative nature of the price shocks may have implications for the trading activity locally. Originality/value To the authors’ best knowledge, this is the first manuscript that investigates simultaneously and formally all the three important issues (i.e. monotonicity, linearity and asymmetry) for the price volatility–volume relationship using a highly flexible nonparametric approach.


1977 ◽  
Vol 9 (1) ◽  
pp. 185-189 ◽  
Author(s):  
Stephen L. O'Bryan ◽  
Barry W. Bobst ◽  
Joe T. Davis

Recent commodity price volatility and development of new futures contracts has kindled interest in hedging among farmers in many parts of the country. Due to the importance of feeder cattle production in Kentucky and in the South generally, recent development of a feeder cattle contract is of special interest. This paper addresses some potential problems associated with use of feeder cattle futures markets by Kentucky producers. Specifically, it tries to: (1) determine the effect, if any, of location basis variability on ex post hedging results in Kentucky markets versus delivery markets at Omaha and Oklahoma City, (2) assess the ability of hedging to reduce revenue variability as compared to cash marketing and (3) determining the presence of bias in feeder cattle futures prices.


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