We examine the volatility characteristics of the NYISO Day Ahead and Real Time electricity markets for peak hours from January 2001 to June 2004. GARCH models are used to study the differences in volatility across zones. We find that price volatility is higher but less persistent in the Real Time market than in the Day Ahead market. Furthermore, we document the importance of transmission congestion and empirically estimate its impact on volatility in electricity prices. We also examine the Day Ahead premium and show how it is related to volatility in Real Time prices. The implications for participants in these markets are discussed.
BarnettAndy H.IsaacsJustin P.ThompsonHenry (2002). “Retail Electric Competition and Free Interstate Trade in the Southeast.” The Electricity Journal, March: 68-74.
2.
BaileyElizabeth M. (1998). “Electricity Markets in the Western United States.” MIT Center for Energy and environmental Policy Research, no. 143.
3.
BessembinderHendrikLemmonMichael L. (2002). “Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets.” Journal of Finance57(3): 1347-1382.
4.
BlumsteinCarlFriedmanL.S.GreenR.J. (2002). “The History of Electricity Restructuring in California.” Center for the Study of Energy Markets, Working paper #103, August.
5.
BollerslevT. (1986). “Generalized Autoregressive Conditional Heteroskedasticity.” Journal of Econometrics31: 307-327.
6.
BollerslevTimWooldridgeJeffrey M. (1992). “Quasi-Maximum Likelihood Estimation and Inference in Dynamic Models with Time Varying Covariances.” Econometric Re-views11: 143-172.
7.
BorensteinSeverinBushnellJ.KnittelC.WolframC. (2001). “Trading Inefficiencies in California’s Electricity Markets.” Working Paper #8620, National Bureau of Economic Research.
8.
BorensteinSeverin (2002). “The Trouble With Electricity Markets: Understanding California’s Restructuring Disaster.” Journal of Economic Perspectives16(1): 191-211.
9.
BorensteinSeverinBushnellJamesWolakFrank (2002). “Measuring Market Inefficiencies in California’s Restructured Wholesale Electricity Market.” Center for the Study of Energy Markets, Working paper 102, June.
10.
BorensteinSeverinBushnellJamesStoftSteven (2000). “The Competitive Effects of Transmission Capacity in a Deregulated Electricity Industry.” RAND Journal of Economics31 (summer): 294-325.
11.
BystromHans (2000). “The Hedging Performance of Electricity Futures on the Nordic Power Exchange Nord Pool.” Working paper.
12.
CampbellJohn Y. and Ludger Hentschel (1992). “No News Is Good News: An Asymmetric Model of Changing Volatility in Stock Returns.” Journal of Financial Economics31(3): 281-318.
13.
De MelloRobertIbrahim MqasqasW.GalarzaRicardo J., (2004) “The Use of Conduct and Impact Tests in the Mitigation of Market Power.” IEEE:1-6.
14.
EngleRobert F.PattonAndrew J. (2001). “What Good is a Volatility Model?” Quantitative Finance1: 237-245.
15.
FamaEugeneFrenchKenneth (1987). “Commodity Futures Prices: Some Evidence on Forecast Power, Premiums, and the Theory of Storage.” Journal of Business60: 55-73.
16.
GreenR.NewberyD. (1992). “Competition in the British Electricity Spot Market.” Journal of Political Economy100: 929-953.
17.
HadsellLesterMaratheAchlaShawkyHany A. (2004). “Estimating the Volatility of Wholesale Electricity Spot Prices in the US.” Energy Journal25(4): 23-40.
18.
HausmanWilliam J.NeufeldJohn L. (2002). “The Market for Capital and the Origins of State Regulation of Electric Utilities in the United States.” The Journal of Economic History62(2): 1050-1073.
19.
JoskowPaulKahnEdward (2001). “A Quantitative Analysis of Pricing Behavior In California’s Wholesale Electricity Market During Summer 2000.” NBER #8157, Cambridge: March.
20.
JoskowPaul L. (2001). “California’s Electricity Crisis.” Oxford Review of Economic Policy17(3), Autumn: 365-388.
21.
KlitgaardThomasReddyRekha (2000). “Lowering Electricity Prices Through Deregulation.” Current Issues in Economics and Finance, Federal Reserve Bank of New York6(14): 1-6.
22.
KnittleC. R.RobertsM. R. (2001). “An Empirical Examination of Deregulated Electricity Prices.” University of California Energy Institute. Working Paper PWP-087.
23.
KrapelsEdward N. (2000) Electricity Trading and Hedging. London: Risk Books.
24.
LamoureuxChristopher G.LastrapesWilliam D. (1990). “Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects.” Journal of Finance45(1): 221-229.
25.
LongstaffFrancis A.WangAshley W. (2004). “Electricity Forward Prices: A High-Frequency Empirical Analysis.” Journal of Finance59(4): 1877-1900.
26.
MichaelsRobert J.ElligJerry (1999). “Electricity: Price Spikes by Design?” Regulation22(2): 20-22.
27.
NamKiseokPyunChong SooKimSei-Wan, (2003). “Is Asymmetric Mean-reverting Pattern in Stock Returns Systematic? Evidence from Pacific-basin Markets in the Short-horizon.” International Financial Markets, Institutions, and Money13: 481-502.
28.
PirrongCraigJermakyanMartin (1999). “Valuing Power and Weather Derivatives on a Mesh using Finite Difference Methods,” in Energy Modeling and the Management of Uncertainty: Risk Books: London.
29.
PoonSer-HuangGrangerClive W. J. (2003). “Forecasting Volatility in Financial Markets: A Review.” Journal of Economic Literature41(2): 478-539.
30.
SaraviaCeleste (2003). “Speculative Trading and Market Performance: The Effect of Arbitrageurs on Efficiency and Market Power in the New York Electricity Market.” University of California Energy Institute, Center for the Study of Energy Markets, working paper 121.
31.
ShawkyHany A.MaratheAchlaBarrettChristopher L. (2003). “A First Look at the Empirical Relation between Spot and Futures Electricity Prices in the US.” Journal of Futures Markets23(10): 931-955.
32.
Wolfram C. (1999). “Measuring Duopoly Power in the British Electricity Spot Market.” American Economic Review89: 805-826.
33.
WorkingHolbrook (1960). “Note on the Correlation of First Differences of Averages in a Random Chain.” Econometrica28: 916-918.
