The cyclical behavior of monthly NYMEX energy prices

Energy Economics

Volumn 20, Issue 3, 1998, Pages 265-271

  Serletis, Apostolos ^a   Kemp, Todd ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; ELECTRIC RATES; INDUSTRIAL ECONOMICS;

CYCLICAL BEHAVIOR; ENERGY PRICE MOVEMENTS;

ENERGY POLICY;

BUSINESS CYCLE; ENERGY PRICES; METHODOLOGY; PRICE CHANGE;

EID: 0032101433     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-9883(97)00007-8     Document Type: Article

References (11)

1. Baxter, M., King, R.G., 1995. Approximate band-pass filters for economic time series. NBER Working Paper No. 5052.
2. Cogley T., Nason J.M. Effects of the Hodrick-Prescott filter on trend and difference stationary time series: implications for business cycle research. J. Econ. Dyn. Control. 19:1995;253-278.
3. Fiorito R., Kollintzas T. Stylized facts of business cycles in the G7 from a real business cycles perspective. Eur. Econ. Rev. 38:1994;235-269.
4. Hamilton J.D. Oil and the macroeconomy since World War II. J. Political Econ. 91:1983;228-248.
5. King R.G., Rebelo S.T. Low frequency filtering and real business cycles. J. Econ. Dyn. Control. 17:1993;207-231.
6. Kydland, F.E., Prescott, E.C., 1990. Business cycles: real facts and a monetary myth. Fed. Reserve Bank Minneapolis Q. Rev. Spring, 3-18.
7. Lucas, R.E. Jr., 1977. Understanding business cycles. In: Brunner, K., Meltzer, A.H. (Eds.), Stabilization of the Domestic and International Economy, Vol. 5 of the Carnegie-Rochester Conference Series on Public Policy. North-Holland, Amsterdam, pp. 7-29.
8. Mork K.A. Oil and the macroeconomy when prices go up and down: an extension of Hamilton's results. J. Political Econ. 97:1988;740-744.
9. Prescott E.C. Theory ahead of business cycle measurement. Fed. Reserve Bank Minneapolis Q. Rev. 10:1986;9-22.
10. Serletis A. A cointegration analysis of petroleum futures prices. Energy Econ. 16:1994;93-97.
11. Stock J., Watson M.W. Testing for common trends. J. Am. Stat. Assoc. 83:1988;1097-1107.