Leverage and the Oil Industry Analysis on the Firm and Production - - PowerPoint PPT Presentation
Leverage and the Oil Industry Analysis on the Firm and Production - - PowerPoint PPT Presentation
Leverage and the Oil Industry Analysis on the Firm and Production Level Johannes Lips September 5, 2017 Department of Economics Justus-Liebig University Gieen Outline Research Questions and Motivation Creating the Dataset Exploratory Data
Outline
Research Questions and Motivation Creating the Dataset Exploratory Data Analysis Results Dynamic Panel Modelling Concluding Remarks and Outlook
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Research Questions and Motivation
Price Development on Energy Markets
WTI Spot Price ($/ Barrel) HHUB Natural Gas ($/ mmBtu)
2001 2003 2005 2007 2009 2011 2013 2015 2017 50 100 5 10
Figure 1: Development of WTI crude oil and Henry Hub natural gas spot prices
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Development of aggregate oil production in the US
250 500 750 2000− Q1 2002− Q1 2004− Q1 2006− Q1 2008− Q1 2010− Q1 2012− Q1 2014− Q1 2016− Q1
Quarterly Oil Production in mmbbls
Total U.S. Oil Production U.S. Unconventional Oil Production
Figure 2: Development of conventional and unconventional US oil production.
Source: EIA (2017a,c)
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Development of aggregate natural gas production in the US
2000000 4000000 6000000 8000000 2000− Q1 2002− Q1 2004− Q1 2006− Q1 2008− Q1 2010− Q1 2012− Q1 2014− Q1 2016− Q1
Quarterly Natural Gas Production in Mcf
Figure 3: Development of US natural gas production.
Source: EIA (2017b)
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Related Literature
- Domanski et al. (2015) raise the hypothesis that high debt
may prevent producers from reducing production
- Lehn and Zhu (2016) empirically analyze the relationship –
focus on period between 2011 and 2014
- Gilje et al. (2017) focus on project completion and investment
decisions of firms
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Development of Debt in the US E&P Industry (Sample)
500000 1000000 2000−Q1 2002−Q1 2004−Q1 2006−Q1 2008−Q1 2010−Q1 2012−Q1 2014−Q1 2016−Q1 Aggregate.Debt Aggregate.Assets 0.20 0.25 0.30 0.35 2000−Q1 2002−Q1 2004−Q1 2006−Q1 2008−Q1 2010−Q1 2012−Q1 2014−Q1 2016−Q1
Debt to Asset Ratio
Figure 4: Development of Debt and Assets
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Creating the Dataset
Company Data
- Companies active in E&P of Crude Oil and Natural Gas
(SIC 1311)
- Quarterly financial data from CapitalIQ
- Initially 1018 companies in the financial data set
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Production Data – Drillinginfo
- Data obtained based on the companies in the financial data
set
- Monthly production data on oil and gas wells
- 18.5 million rows in the database
- Information on the technology and additional data
- Matching of both data sets on available company information
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Unbalanced quarterly data set – Q1 2000 to Q2 2016
- Panel data set ranging from Q1 2000 to Q2 2016
- Initially 153 companies
- 172 drop out and 190 enter into the sample
- 53 are present throughout the whole sample period
- 146 on average in each quarter
- 343 different companies in total
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Key Figures of the Quarterly Oil Production Dataset
100 200 300 2000− Q1 2002− Q1 2004− Q1 2006− Q1 2008− Q1 2010− Q1 2012− Q1 2014− Q1 2016− Q1
Quarterly Oil Production in mmbbls
Directional Horizontal Unknown Vertical
Figure 5: Development of aggregated oil production for different drilling technologies
Source: Own calculations based on data provided by DrillingInfo
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Comparison of Production in the US and the Sample
250 500 750 2000− Q1 2002− Q1 2004− Q1 2006− Q1 2008− Q1 2010− Q1 2012− Q1 2014− Q1 2016− Q1
Quarterly Oil Production in mmbbls
U.S. Total Sample Total
Figure 6: Total US oil production and oil production in sample
Source: Own calculations based on data provided by DrillingInfo
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Comparison of Production in the US and the Sample
0.00 0.25 0.50 0.75 1.00 2000− Q1 2002− Q1 2004− Q1 2006− Q1 2008− Q1 2010− Q1 2012− Q1 2014− Q1 2016− Q1
Share of Oil Production in the sample
U.S. Total Sample Total
Figure 6: Total US oil production and oil production in sample
Source: Own calculations based on data provided by DrillingInfo
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Exploratory Data Analysis
Distribution of Leverage prior to price decline in 2008 and 2014
Leverage Percentile 2008 Q2 2014 Q3 No. Assets Debt No. Assets Debt 1stQuartile 33 3094 493 33 5872 948 2ndQuartile 36 11 869 2494 36 12 895 2749 3rdQuartile 35 5018 1380 36 4279 1328 4thQuartile 35 2845 1208 36 2002 885 Non-calculable Leverage 5 1172 339 7 1304 391
Table 1: Comparison of the number of companies for each leverage group prior to price declines in 2008 Q2 and 2014 Q3 and their average value of total assets and debt in million US-Dollar.
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Leverage and Unconventional Production
0.00 0.25 0.50 0.75 1.00 2000− Q1 2005− Q1 2010− Q1 2015− Q1
Oil production per leverage group and production type
1st Quartile 2nd Quartile 3rd Quartile 4th Quartile Non− calculable Leverage Conventional Oil Production Unconventional Oil Production
Figure 7: Total oil production differentiated by production type and leverage quartile of the companies in 2008. Yellow line separates the production types with conventional share above and unconventional share below.
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Leverage and Unconventional Production
0.00 0.25 0.50 0.75 1.00 2000− Q1 2005− Q1 2010− Q1 2015− Q1
Gas production per leverage group and production type
Conventional Gas Production Unconventional Gas Production 1st Quartile 2nd Quartile 3rd Quartile 4th Quartile Non− calculable Leverage
Figure 8: Total gas production differentiated by production type and leverage quartile of the companies in 2008. Yellow line separates the production types with conventional share above and unconventional share below.
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Results Dynamic Panel Modelling
Pooled Estimation – Oil Production
Coefficient Standard error t-stat p-value log(Total Oil Production)t−1 0.948∗∗∗ 0.004 243.745 0.000 log(Total Assets) 0.032∗∗∗ 0.012 2.771 0.006 log(EBITDA) 0.022∗∗ 0.010 2.134 0.033 Leverage 0.002 0.004 0.425 0.671 log(WTI Spot Price) 0.025 0.021 1.209 0.227 constant −0.533∗∗∗ 0.093 −5.721 0.000 R2 0.934 Observations 6327 F statistic 17 968.161 Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
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LSDV Estimation – Oil Production
Coefficient Standard error t-stat p-value log(Total Oil Production)t−1 0.586∗∗∗ 0.044 13.424 0.000 log(Total Assets) 0.084∗∗∗ 0.032 2.660 0.008 log(EBITDA) 0.035∗∗∗ 0.012 2.906 0.004 Leverage 0.027∗ 0.015 1.810 0.071 log(WTI Spot Price) −0.117∗∗ 0.055 −2.130 0.034 constant −1.305∗∗∗ 0.269 −4.848 0.000 Observations 6327 σu 1.539
- No. Companies
289 σe 0.657 F statistic 48.066 ρ 0.846 R2-within 0.517 R2-between 0.895 R2-overall 0.928 Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
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Pooled Estimation – Gas Production
Coefficient Standard error t-stat p-value log(Total Gas Production)t−1 0.933∗∗∗ 0.004 217.170 0.000 log(Total Assets) 0.065∗∗∗ 0.013 4.908 0.000 log(EBITDA) 0.022∗ 0.011 1.931 0.054 Leverage 0.059∗ 0.036 1.653 0.098 log(WTI Spot Price) −0.064∗∗∗ 0.024 −2.699 0.007 constant 0.182∗ 0.101 1.805 0.071 R2 0.928 Observations 6290 F statistic 16 236.009 Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
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LSDV Estimation – Gas Production
Coefficient Standard error t-stat p-value log(Total Gas Production)t−1 0.514∗∗∗ 0.048 10.637 0.000 log(Total Assets) 0.094∗∗ 0.042 2.271 0.024 log(EBITDA) 0.027∗ 0.014 1.934 0.054 Leverage 0.093 0.150 0.622 0.535 log(WTI Spot Price) −0.194∗∗∗ 0.066 −2.940 0.004 constant 3.371∗∗∗ 0.400 8.431 0.000 Observations 6290 σu 1.856
- No. Companies
286 σe 0.707 F statistic 29.436 ρ 0.873 R2-within 0.451 R2-between 0.954 R2-overall 0.924 Note: ∗p<0.1; ∗∗p<0.05; ∗∗∗p<0.01
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Concluding Remarks and Outlook
Conclusion
- Leverage appears to have some impact on the production
decision
- Relationship needs to be analyzed in more detail, with more
appropriate methodology
- Endogeneity is one of the main issues in this context and
needs to be addressed
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Econometric Extensions
- GMM estimation Blundell and Bond (2000) to address the
persistence and endogeneity
- Difference-in-Difference Estimation: Using the treatments of
high and low leverage and contango or backwardation periods
- PanelVAR allows to explicitly model the endogeneity.
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The End
Thank you for your attention! For more details and current status, please see: https://papers.ssrn.com/sol3/papers.cfm?abstract id=3026063
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