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[en] The year-end report notes that the 1991-92 heating season had lower average oil prices (retail home heating fuel) than the past two winters and prices remained relatively stable throughout the season. This year, the heating season average was $.87 per gallon, $1.05 for kerosene, and $1.33 for propane
[en] This report provides the government with an insight into the challenges faced by the home heating oil industry in New Brunswick as a result of price regulation of home heating oil. The object of the price regulation is to protect against fluctuating fuel prices but it has had negative effects on home heating oil consumers and retailers alike. Some options are proposed for consideration. But the only option the report finds for ensuring the future sustainability and viability of the New Brunswick home heating oil industry is to deregulate the price. The industry should be operating in an unregulated, free-market system.
[en] In cooperation with the United States Department of Energy (USDOE), Energy Information Administration (EIA), the Board of Public Utilities (BPU), Division of Energy Planning and Conservation participated in an ongoing program to monitor retail prices of No. 2 heating oil and propane in New Jersey. According to program instructions, they conducted twelve price surveys on a semi-monthly basis to obtain the necessary price information from retail fuel merchants and propane dealers identified by the EIA. The surveys began on October 3, 1994 and ended on March 20, 1995. The authors submitted data collected as of specified report dates to the EIA, within two working days of those dates
[en] This reports documents the 1995-1996 United States Department of Energy (USDOE) program to monitor No. 2 heating oil and propane prices. Data reported encompass states that are heavily dependent on these products. Twelve surveys were conducted semimonthly to obtain the necessary price information from retail fuel merchants and propane dealers. Surveys began on October 2, 1995 and ended on March 18, 1996. Responses were analyzed to avoid questionable prices. Tables and graphs included in the report reflect the general activity of the prices furnished during the surveys. 3 figs., 2 tabs
[en] We model the joint movements of daily returns on one-month futures for crude oil, heating oil and natural gas through the multivariate GARCH with dynamic conditional correlations and elliptical distributions introduced by Pelagatti and Rondena [Pelagatti, M.M., Rondena, S., 2007. 'Dynamic Conditional Correlation with Elliptical Distributions', unpublished manuscript. Universita di Milano - Bicocca, August]. Futures prices of crude and heating oil covary strongly. The conditional correlation between the futures prices of natural gas and crude oil has been rising over the last 5 years. However, this correlation has been low on average over two thirds of the sample, suggesting that future markets have no established tradition of pricing natural gas as a function of developments on oil markets. (author)
[en] In response to a Presidential request, this study examines how the distillate fuel oil market (and related energy markets) in the Northeast behaved in the winter of 1999-2000, explains the role played by residential, commercial, industrial, and electricity generation sector consumers in distillate fuel oil markets and describes how that role is influenced by the structure of tie energy markets in the Northeast. In addition, this report explores the potential for nonresidential users to move away from distillate fuel oil and how this might impact future prices, and discusses conversion of distillate fuel oil users to other fuels over the next 5 years. Because the President's and Secretary's request focused on converting factories and other large-volume users of mostly high-sulfur distillate fuel oil to other fuels, transportation sector use of low-sulfur distillate fuel oil is not examined here
[en] This report summarizes the results of a survey of home heating oil and propane prices over the 1990/1991 heating season in Michigan. The survey was conducted under a cooperative agreement between the State of Michigan, Michigan Public Service Commission and the US Department of Energy (DOE), Energy Information Administration (EIA), and was funded by a grant from EIA. From October 1990 through May 1991, participating dealers/distributions were called and asked for their current residential retail prices of No. 2 home heating oil and propane. This information was then transmitted to the EIA, bi-monthly using an electronic reporting system called Petroleum Data Reporting Option (PEDRO). The survey was conducted using a sample provided by EIA of home heating oil and propane retailers which supply Michigan households. These retailers were contacted the first and third Mondays of each month. The sample was designed to account for distributors with different sales volumes, geographic distributions and sources of primary supply. It should be noted that this simple is different from the sample used in prior year surveys
[en] This paper investigates how German consumer and wholesale prices for gasoline and light heating oil react to changes in the corresponding Rotterdam prices. Monthly data from 1972 to 1989 are employed, and the subperiods of the 1970s (1972 to 1979) and 1980s (1980-1989) are distinguished. Error correction models are estimated to separate long-run equilibrium relations and short-run adjustment processes. For the 1980s, we find rapidly, symmetric and full adjustment of the German prices to the Rotterdam prices, whereas during the 1970s we find some asymmetries, and at least for gasoline the adjustment processes took considerably more time. (Author)
[en] Highlights: • We test for episodes of explosive behavior in energy sector indices and spot prices. • A theoretical framework helps us interpret explosive behavior as bubbles. • Non-explosive convenience yield allows to interpret explosive behavior in spot prices as bubbles. • We identified the beginning and the end of the bubble periods for four energy spot prices. - Abstract: In this paper we test for the existence of single and multiple episodes of explosive behavior in three energy sector indices (crude oil, heating oil, and natural gas) and five energy sector spot prices (West Texas Intermediate (WTI), Brent, heating oil, natural gas, and jet fuel). The results from the Supremum Augmented Dickey-Fuller (SADF) and the Generalized SADF tests provide strong statistical evidence of explosive behavior in all of our energy series. A simple theoretical framework of commodity pricing allows us to understand the assumptions to interpret explosive behavior as bubbles. By constructing implied convenience yields using futures prices we test the key assumption and we are able to identify the beginning and the end of bubble periods for the WTI, Brent, heating oil, and natural gas spot prices.
[en] The objective of the Missouri State Heating Oil and Propane Program was to develop a joint state-level company-specific data collective effort. The State of Missouri provided to the US Department of Energy's Energy Information Administration company specific price and volume information on residential No. 2 heating oil and propane on a semimonthly basis. The energy companies participating under the program were selected at random by the US Department of Energy and provided to the Missouri Department of Natural Resources' Division of Energy prior to the implementation of the program. The specific data collection responsibilities for the Missouri Department of Natural Resources' Division of Energy included: (1) Collection of semimonthly residential heating oil and propane prices, collected on the first and third Monday from August 1991 through August 1992; and, (2) Collection of annual sales volume data for residential propane for the period September 1, 1990 through August 31. 1991. This data was required for the first report only. These data were provided on a company identifiable level to the extent permitted by State law. Information was transmitted to the US Department of Energy's Energy Information Administration through the Petroleum Electronic Data Reporting Option (PEDRO)