The Weak Tie Between Natural Gas and Oil Prices 30 th USAEE/IAEE North American Conference October 12, 2011 David Ramberg, MIT Engineering Systems Division.

Slides:



Advertisements
Similar presentations
Cointegration and Error Correction Models
Advertisements

Petroleum and Natural Gas Outlook Briefing for the National Association of State Energy Officials 2005 Energy Outlook Conference Washington, DC Mike Burdette.
California Energy Commission North American Market Gas-trade (NAMGas) Model: Key Drivers and Structure 2015 Integrated Energy Policy Report California.
Short-Term and Winter Fuels Outlook Guy F. Caruso Administrator Energy Information Administration New York Energy Forum New York, NY October 16,
Turun kauppakorkeakoulu  Turku School of Economics REGIONAL DIFFERENCES IN HOUSING PRICE DYNAMICS: PANEL DATA EVIDENCE European Real Estate Society 19th.
ESDS Conference London November 2006 A Cointegration Analysis of EMU Convergence of the CEEC5 EU Accession Countries ANDREY DAMIANOV MSc FCCA MBA Oxford.
Does the spread between coal and gas prices affect the price of EU emissions allowances? IAFA Conference NUI Galway, May 2012 Peter Deeney.
Indirect Real Estate Investments and their Links with Properties, Common Stocks and the Macroeconomy Alexander Schätz European Real Estate Society Conference.
Modeling & Forecasting US Electricity Consumption Prepared for 30 th USAEE North American Conference, Washington DC By Mark Hutson, PhD Candidate & Prof.
T T18-03 Exponential Smoothing Forecast Purpose Allows the analyst to create and analyze the "Exponential Smoothing Average" forecast. The MAD.
In this chapter you will learn:
Output, Inflation, and Unemployment Chapter 11
Chapter 13 Forecasting.
To Accompany “Economics: Private and Public Choice 11th ed.” James Gwartney, Richard Stroup, Russell Sobel, & David Macpherson Slides authored and animated.
2011 Long-Term Load Forecast Review ERCOT Calvin Opheim June 17, 2011.
The Natural Number of Forward Markets for Electricity 9 th Annual POWER Conference on Electricity Industry Restructuring March 19, 2004 Hiroaki Suenaga.
California Energy Commission Integrated Energy Policy Report Lead Commissioner Workshop: Preliminary Results Natural Gas Common Cases California Energy.
Natural Gas Outlook National Association of State Energy Officials State Heating Oil and Propane Conference August 30, 2004 William Trapmann Energy Information.
© IFP OIL MARKET VOLATILITY : AN ECONOMETRIC ANALYSIS OF THE INTERACTIONS BETWEEN THE CRUDE OIL MARKET, THE GAS OIL AND THE GASOLINE MARKETS Frederic LANTZ,
Crude Oil, Heating Oil, and Propane Outlook Briefing for the State Heating Oil and Propane Program Conference Asheville, NC Mike Burdette Petroleum Division,
Federal Energy Regulatory Commission Summer 2005 Energy Price Review: Gulf Coast Storms Exacerbate Tight Natural Gas Supplies; Already High Prices Driven.
U.S. Energy Information Administration Independent Statistics & Analysis EIA Drilling Productivity Report For Center on Global Energy Policy,
SHORT - TERM NATURAL GAS OUTLOOK National Association of State Energy Officials State Heating Oil and Propane Conference August 7, 2006 Barbara Mariner-Volpe,
U.S. Energy Information Administration Independent Statistics & Analysis Federal Forecasters Conference – The Value of Government Forecasts.
Production Planning and Control. 1. Naive approach 2. Moving averages 3. Exponential smoothing 4. Trend projection 5. Linear regression Time-Series Models.
Module 37: Long-run Economic Growth
GLOBAL CHANGES CUTTING DEEP Economics of energy changing based on external global dynamics, particularly with OPEC Oil prices have fallen by more than.
THE ROLES OF HEDGERS AND SPECULATORS IN THE NATURAL GAS AND CRUDE OIL MARKETS Prof. Ronald D. Ripple Director, CREME Curtin University 30 th USAEE/IAEE.
©2012 The McGraw-Hill Companies, All Rights Reserved 1 Chapter 23: Aggregate Demand and Aggregate Supply.
Oil and the Macroeconomy of Kazakhstan Prepared for the 30 th USAEE North American Conference, Washington DC By Ferhat Bilgin, Ph.D. Student and Fred Joutz.
Canada’s Energy Futures 2011: Shifting Trends Preview of Key Results & Comparison with Past Projections Abha Bhargava Matthew Hansen Bryce VanSluys 30.
Long-term Fuel Price Forecasts for the Sixth Power Plan Northwest Power & Conservation Council Generating Resources Advisory Committee August 21, 2008.
Should the CNB Devaluate the Exchange Rate? 23/06/2010 Dubrovnik Marina Tkalec - Maruška Vizek 16 th Young Economists’ Seminar Should the Croatian National.
Macroeconomic Outlook 10 th Annual Waterways Symposium October 1-3, 2013.
Energy Business Solutions Confidential Michigan IRP Gas Forecast.
Macro Chapter 10 Dynamic Change, Economic Fluctuations, and the AD-AS Model.
Northwest Power and Conservation Council Reviewing the Fifth Power Plan Energy Price Assumptions Natural Gas Advisory Committee December 5, 2006.
Market Arbitrage: European and North American Natural Gas Prices 2009 IAEE European Conference Mine Yücel Federal Reserve Bank of Dallas Stephen Brown.
LNG North American Summit 2008 Houston, Texas June 19, 2008 James M. Kendell Energy Information Administration U.S. Natural Gas.
MANKIW'S MACROECONOMICS MODULES
McGraw-Hill/Irwin Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 22 Understanding Business Cycles.
Centre of Full Employment and Equity Slide 2 Short-run models and Error Correction Mechanisms Professor Bill Mitchell Director, Centre of Full Employment.
McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 20: Aggregate Demand, Aggregate Supply, and Stabilization.
PEP-PMMA Training Session Introduction to Distributive Analysis Lima, Peru Abdelkrim Araar / Jean-Yves Duclos 9-10 June 2007.
U.S. Energy Information Administration Independent Statistics & Analysis Natural Gas Markets: Recent Changes and Key Drivers for LDC Gas Forum.
Does Property Transactions Matter in Price Discovery in Real Estate Market: Evidence from the US firm level data William Cheung and James Lei University.
Bringing in the Supply Side: Unemployment and Inflation? 10.
Petroleum Outlook 2002: On the Road to Pamplona John Cook Energy Information Administration NPRA Annual Meeting San Antonio, Texas March 18, 2002.
Crude Oil, Heating Oil, and Propane Market Outlook Briefing for the State Heating Oil and Propane Program Conference Kennebunkport, ME by Douglas MacIntyre.
C h a p t e r twenty-four © 2006 Prentice Hall Business Publishing Economics R. Glenn Hubbard, Anthony Patrick O’Brien—1 st ed. Prepared by: Fernando &
Short-Term Energy Outlook, October 2007 DOE/NASEO 2007/08 Winter Fuels Outlook Conference October 9, 2007 Washington, DC Guy F. Caruso Administrator, Energy.
Module 4 Forecasting Multiple Variables from their own Histories EC 827.
AP Economics Mr. Bernstein Module 32: Money, Output and Prices in the Long Run March 16, 2015.
Crude Oil, Heating Oil, and Propane Market Outlook Briefing for the State Heating Oil and Propane Program Conference Wilmington, DE by Douglas MacIntyre.
Module Money, Output, and Prices in the Long Run
A tail of two distributions: Or, what should energy price forecasters try to forecast (and how)? George J. Gilboy MIT Center for International Studies.
Modeling Client Rate and Volumes of Non-maturing Savings Accounts Conference OR 2011, Zürich Florentina Paraschiv.
1 R ICE U NIVERSITY The Relationship between Crude Oil and Natural Gas Prices Peter Hartley Kenneth Medlock III Jennifer Rosthal James A. Baker III Institute.
Econometric methods of analysis and forecasting of financial markets Lecture 4. Cointegration.
1 Lecture Plan : Statistical trading models for energy futures.: Stochastic Processes and Market Efficiency Trading Models Long/Short one.
What Drives Natural Gas Prices? Stephen Brown and Mine Yücel Federal Reserve Bank of Dallas.
T T18-02 Weighted Moving Average Forecast Purpose Allows the analyst to create and analyze the "Weighted Moving Average" forecast for up to 5.
E NTE PER LE N UOVE TECNOLOGIE L’ E NERGIA E L’ A MBIENTE The causality between energy consumption and economic growth: A multi-sectoral analysis using.
An Introduction to Error Correction Models (ECMs)
Presentation by Eurostat
OIL AND NATURAL GAS PRICES: TOGETHER AGAIN?
30th USAEE/IAEE North American Conference
David Givens Sreekanth Venkataraman
David Givens Sreekanth Venkataraman
Interest Rate Linkages within the European Monetary System: A Time Series Analysis 授课教授:杨奕农 学 生:文仲琴.
Presentation transcript:

The Weak Tie Between Natural Gas and Oil Prices 30 th USAEE/IAEE North American Conference October 12, 2011 David Ramberg, MIT Engineering Systems Division (Co-author and Committee Member: John E. Parsons Committee Chair: Mort D. Webster)

2 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. The Relationship Between Crude Oil and Natural Gas Prices Historically, observers have noted price relationship between crude oil and natural gas.  Rules of Thumb  10-to-1  Energy Content Equivalence (≈ 6-to-1)  Distillate Fuel Oil Burner-Tip Parity  Residual Fuel Oil Burner-Tip Parity  Cointegration (Villar and Joutz, 2006, Brown and Yücel, 2008, Hartley, Medlock, and Rosthal, 2008) Recent discussion about “decoupling”:  Temporary break from usual relationship (return later)  Permanent break from old relationship and move to new one  No longer any relationship at all Which is it?

3 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Natural Gas and Crude Oil Spot Prices, (real 2010 dollars)

4 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Is the Relationship Stable over Time, or has it Shifted?

5 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Is the Relationship Stable over Time, or has it Shifted?

6 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Methods to Test De-coupling Possibilities Revisit Cointegrating Relationship: P HH,t = γ + βP WTI,t + μ t ( logP WTI,t + μ t ) P-Value of cointegrating relationship: 0.001, R 2 of full model: Conduct Gregory and Hansen (1996) tests using above functional form and iteratively test for breakpoints at each observation. Apply VECM/Conditional ECM methodology from June 1997 to identified breakpoint March 2006: logP HH,t = logP WTI,t + μ t  P-Value of cointegrating relationship: , R 2 of full model: Apply VECM/Conditional ECM methodology from March 2006 to identified breakpoint February 2009: logP HH,t = logP WTI,t + μ t  P-Value of cointegrating relationship: , R 2 of full model:  No cointegrating relationship identified between February 2009 and December 2010

7 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Graphing Two Cointegrated Periods Against Actual Henry Hub Prices

8 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Conclusions  Crude oil and natural gas prices in the U.S. tend to be cointegrated in the long-run, but:  Volatility in natural gas prices much higher than crude oil prices. Frequent deviations from long-run relationship  Relationships gradually shifting as new technologies and policies that govern interaction between fuels, demographic, and other demand-side factors develop  Models themselves only generally accurate at relating natural gas price levels vis-à-vis crude oil prices.  Post-February 2009 period likely indicative of relationship in flux rather than permanent severance of crude oil-natural gas pricing relationship.  Due to shortage of data points to uncover a subtle relationship/lack of much price variation, and  Likely because of advent of economic methods for shale gas extraction coming online.  New equilibrium will likely develop over time.

The End Questions?

Additional Slides

11 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. The Mathematics Behind VECM and Conditional ECM Cointegration Models Vector Error Correction Model (VECM): Conditional Error Correction Model (conditional ECM):

12 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Methods to Test De-coupling Possibilities Test for a co-integrating relationship:  Search for a combination of the two variables of a specified functional form that is stationary over time.  After accounting for short-run divergence from this long-term relationship and subsequent readjustment back to the long-term relationship, the remaining errors are stationary.  Persistent result is that US natural gas & oil prices have been cointegrated. Data on seasonal, weather, and supply-related variables unavailable before June 1997 Basic cointegrating relationship from June 1997 – December 2010:  logP HH,t = γ + β logP WTI,t + μ t  = logP WTI,t + μ t Cointegrating relationship has smaller in-sample errors than any of the rules of thumb

13 Presentation to 30th USAEE/IAEE North American Conference, October 12, Do not reproduce. Graphing Two Cointegrated Periods Against Actual Henry Hub Prices