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Regional Limitations on the Hedging Effectiveness of Natural Gas Futures

Emile J. Brinkmann and Ramon Rabinovitch

Year: 1995
Volume: Volume16
Number: Number 3
DOI: 10.5547/ISSN0195-6574-EJ-Vol16-No3-5
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Abstract:
This paper examines the extent to which limitations in the transportation system for the natural gas market in the United States narrows the effectiveness of the NYMEX natural gas future contract as a hedging instrument and why a second contract with a different delivery point was approved during 1995. We find that the NYMEX contract is an effective hedging instrument for gas sold into pipelines for consumption in southern, eastern and midwestern states, but does, not provide an effective hedge for gas sold for Rocky Mountain and West Coast states.



Chaos in Natural Gas Futures?

Victor Chwee

Year: 1998
Volume: Volume19
Number: Number 2
DOI: 10.5547/ISSN0195-6574-EJ-Vol19-No2-10
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Abstract:
Technical analysis using charting techniques to forecast future price trends can be difficult due to the volatile and unpredictable nature of futures market. Alternatively, the emergence of chaos theory seeks to find order in random looking futures price behavior. Hence, this paper tests for the presence of nonlinearity and chaos using the NYMEX 1 -month, 2-month, 3-month, and 6-month daily natural gas settlement prices, from April 1990 to September 1996. In doing so, we use the BDS statistic of Brock, Dechert, and Scheinkman (1987) for nonlinearity testing and then proceed to compute the Lyapunov spectra to determine to what degree futures data resemble a chaotic system. Although the results indicate the presence of nonlinearity, they fail to provide significant evidence of deterministic chaos.



Fundamental and Financial Influences on the Co-movement of Oil and Gas Prices

Derek Bunn, Julien Chevallier, Yannick Le Pen, and Benoit Sevi

Year: 2017
Volume: Volume 38
Number: Number 2
DOI: 10.5547/01956574.38.2.dbun
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Abstract:
As speculative flows into commodity futures are expected to link commodity prices more strongly to equity indices, we investigate whether this process also creates increased correlations amongst the commodities themselves. Considering U.S. oil and gas futures, we investigate whether common factors, derived from a large international data set of real and nominal macroeconomic variables by means of the large approximate factor models methodology, are able to explain both returns and whether, beyond these fundamental common factors, the residuals remain correlated. We further investigate a possible explanation for this residual correlation by using some proxies for trading intensity derived from CFTC publicly available data, showing most notably that the proxy for speculation in the oil market increases the oil-gas correlation. We thus identify the central role of financial activities in shaping the link between oil and gas returns.



How to Value Proved but Undeveloped Petroleum Reserves

Lawrence M. Vielhaber

Year: 2024
Volume: Volume 45
Number: Number 2
DOI: 10.5547/01956574.45.2.lvie
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Abstract:
Proved undeveloped reserves (PUDs) are typically assigned a value of zero when the cost to produce them is greater than the prevailing forward curve. The zero valuation occurs despite the option value contained in even the most expensive PUDs. While PUDs are worthless if spot and forward prices forever remain below the cost to produce them, they have positive value if either the spot price or a contracted futures price exceeds the cost at any time. Since the probability that future prices exceed cost is positive, PUDs have positive option value despite the industry practice.Zero valuation occurs primarily because financing is unavailable when hedging is contingent on uncertain future outcomes where probabilities cannot be modeled. The failure of models to recognize contingent hedging is a limitation that leads to chronically undervalued PUDs in marginal and sub-marginal price environments. The literature is silent on contingent hedging where financing is dependent on forward curves that will not exist until some future date. This paper introduces a model that addresses these limitations.





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