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Barndorff-Nielsen and Shephard model: oil hedging with variance swap and option

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Abstract

In this paper the Barndorff-Nielsen and Shephard (BN-S) model is implemented to find an optimal hedging strategy for the oil commodity from the Bakken, a new region of oil extraction that is benefiting from fracking technology. The model is analyzed in connection to the quadratic hedging problem and some related analytical results are developed. The results indicate that oil can be optimally hedged with the use of a combination of options and variance swaps. Theoretical results related to the variance process are established and implemented for the analysis of the variance swap. In this paper we also determined the optimal amount of the underlying oil commodity that has to be held for minimizing the hedging error. The model and analysis are used to numerically analyze hedging decisions for managing price risk in Bakken oil commodities. From the numerical results, a number of important features of the usefulness of the Barndorff-Nielsen and Shephard model are illustrated.

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References

  1. Awudu, I., Wilson, W., Dahl, B.: Hedging strategy for ethanol processing with copula distributions. Energy Econ. 57, 59–65 (2016)

    Article  Google Scholar 

  2. Bakx, K.: Alberta Budget 2016: How to find the right price for oil, bull or bear? Alberta’s NDP government must forecast how much in royalties it will collect in next year. CBC News. http://www.cbc.ca/news/canada/calgary/alberta-budget-oil-prices-first-energy-1.3532141 (2016). Accessed 13 Apr 2016

  3. Barndorff-Nielsen, O.E.: Superposition of Ornstein–Uhlenbeck type processes. Theory Probab. Appl. 45, 175–194 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  4. Barndorff-Nielsen, O.E.: Integrated OU processes and non-Gaussian OU-based stochastic volatility models. Scand. J. Stat. 30(2), 277–295 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  5. Barndorff-Nielsen, O.E., Jensen, J.L., Sørensen, M.: Some stationary processes in discrete and continuous time. Adv. Appl. Probab. 30, 989–1007 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. Barndorff-Nielsen, O.E., Shephard, N.: Non-Gaussian Ornstein–Uhlenbeck-based models and some of their uses in financial economics. J. R. Stat. Soc. Ser. B (Stat. Methodol.) 63, 167–241 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  7. Barndorff-Nielsen, O.E., Shephard, N.: Modelling by Lévy processes for financial econometrics. In: Barndorff-Nielsen, O.E., Mikosch, T., Resnick, S. (eds.) Lévy Processes: Theory and Applications, pp. 283–318. Birkhäuser, Basel (2001)

    Chapter  Google Scholar 

  8. Barndorff-Nielsen, O.E., Shephard, N.: Basics of Lévy processes, draft chapter from a book by the authors on Lévy Driven Volatility Models. https://pdfs.semanticscholar.org/fe80/07ba98fafa23ddca98ac5d9b1cf1732f70bd.pdf (2012). Accessed 13 Mar 2016

  9. Blas, J., Martin, E.: World’s Largest Oil Hedge Set to Make Billions for Mexican States, Bloomberg: Quint https://www.bloombergquint.com/onweb/2016/08/02/mexico-set-for-2016-windfall-from-sovereign-oil-price-hedge-irej4npe (2016). Accessed 16 Aug 2016

  10. Caruana, J.M.: Should governments hedge oil? Times of Malta. https://www.timesofmalta.com/articles/view/20150215/business-news/Should-governments-hedge-oil-.556199 (2015). Accessed 15 Feb 2015

  11. Cifuentes, E.: Mexico Made \$3 billion from Oil Hedging in 2016-What is their 2017 Strategy? http://oilprice.com/Energy/Energy-General/Mexico-Made-3-Billion-From-Oil-Hedging-In-2016-What-is-Their-2017-Strategy.html (2016). Accessed 7 Aug 2016

  12. Cont, R., Tankov, P.: Financial Modelling with Jump Processes. CRC Financial Mathematics Series. Chapman and Hall, London (2004)

    MATH  Google Scholar 

  13. Cont, R., Voltchkova, E.: Integro-differential equations for option prices in exponential Lévy models. Finance Stoch. 9, 299–325 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  14. Daniel, J.: Hedging Government Oil Price Risk, International Monetary Fund. IMF Working Paper, WP/01/185: pp. 1–21. https://www.imf.org/external/pubs/ft/wp/2001/wp01185.pdf (2001). Accessed Nov 2001

  15. Farchy, J.: Russia Considers Hedging Part of its Oil Revenues. Financial Times. https://www.ft.com/content/4b533980-c122-11e5-846f-79b0e3d20eaf (2016). Accessed 22 Jan 2016

  16. Figueroa-López, J.E.: Statistical estimation of Lévy-type stochastic volatility models. Ann. Finance 8, 309–335 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  17. Franck, T.: Gas prices fall after Hurricane Irma destruction not as bad as feared. https://www.cnbc.com/2017/09/11/gas-prices-fall-after-hurricane-irma-destruction-not-as-bad-as-feared.html (2017). Retrieved 11 Sept 2017

  18. Geman, H.: Commodities and commodity derivatives: modeling and pricing for agriculturals, metals and energy, 1st edn. Wiley (2009)

  19. Haavardsrud, P.: Oil price hedging by governments can be a smart bet or a bad gamble. CBC News, posted. http://www.cbc.ca/news/business/hedging-oil-provincial-budgets-1.3530084 (2016). Accessed 13 Apr 2016

  20. Habtemicael, S., SenGupta, I.: Ornstein–Uhlenbeck processes for geophysical data analysis. Phys. A Stat. Mech. Appl. 399, 147–156 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  21. Habtemicael, S., SenGupta, I.: Pricing variance and volatility swaps for Barndorff-Nielsen and Shephard process driven financial markets. Int. J. Financ. Eng. 03(04), 1650027 (2016)

    Article  MathSciNet  Google Scholar 

  22. Habtemicael, S., SenGupta, I.: Pricing covariance swaps for Barndorff-Nielsen and Shephard process driven financial markets. Ann. Financ. Econ. 11, 1650012 (2016)

    Article  Google Scholar 

  23. Habtemicael, S., Ghebremichael, M., SenGupta, I.: Volatility and variance swap using superposition of the Barndorff-Nielsen and Shephard type Lévy processes. Sankhya B, accepted in September 2017. https://doi.org/10.1007/s13571-017-0145-y (2018)

  24. Hill, A.: Government Oil Hedge Underwater. The Gleaner. http://jamaica-gleaner.com/article/business/20160115/aubyn-hill-government-oil-hedge-underwater (2016). Accessed 15 Jan 2016

  25. Holz, J., Untershultz, J.U.: Hedging Alberta Government’s Oil and Gas Revenue: Is Acting Like a Farmer a Viable Strategy, Staff Paper #09-01, Department of Rural Economy Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton (2009)

  26. Hubalek, F., Posedel, P.: Joint analysis and estimation of stock prices and trading volume in Barndorff-Nielsen and Shephard stochastic volatility models. Quant. Finance 11(6), 917–932 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  27. Hull, J.: Fundamentals of Futures and Options Markets, 5th edn. Pearson Prentice Hall, Boston (2005)

    MATH  Google Scholar 

  28. Issaka, A., SenGupta, I.: Analysis of variance based instruments for Ornstein–Uhlenbeck type models: swap and price index. Ann. Finance 13(4), 401–434 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  29. James, T.: Energy Markets: Price Risk Management and Trading. Wiley, Hoboken (2007)

    Google Scholar 

  30. Kelly, K.: The Secret Club That Runs the World: Inside the Fraternity of Commodity Traders. Hardcover Penguin Portfolio, New York (2014)

    Google Scholar 

  31. Kolb, R.: The Natural Gas Revolution. Pearson, Upper Saddle River (2013)

    Google Scholar 

  32. Kolb, R., Overdahl, J.: Understanding Futures Markets, 6th edn. Wiley-Blackwell Publishing, Oxford (2006)

    Google Scholar 

  33. Larsson, K., Nossman, M.: Jumps and stochastic volatility in oil prices: time series evidence. Energy Econ. 33, 504–514 (2011)

    Article  Google Scholar 

  34. Markowitz, H.: Portfolio selection. J. Finance 7(1), 77–91 (1952)

    Google Scholar 

  35. Matthews, C., Olson, B.: Oil is above \$70, but frackers still struggle to make money. Wall Street J. https://www.wsj.com/articles/oils-at-70-but-frackers-still-struggling-to-make-money-1526549401 (2018). Accessed 17 May 2018

  36. Montes, J.: Mexico Enters \$76.40 Oil Price Hedge for 2015: Program Allowed Country to Avoid Major Budget Crisis When Crude Prices Sank in 2009. Wall Street J. https://www.wsj.com/articles/mexico-enters-76-40-oil-price-hedge-for-2015-1415917558 (2014). Accessed 13 Nov 2014

  37. Nicolato, E., Venardos, E.: Option pricing in stochastic volatility models of the Ornstein–Uhlenbeck type. Math. Finance 13, 445–466 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  38. Percival, G.: Ryanair surges but profits set to fall this year. Irish Examiner. http://aws2.irishexaminer.com/breakingnews/business/ryanair-surges-but-profits-set-to-fall-this-year-844273.html (2018). Accessed 22 May 2018

  39. Price, K.: Hedging is an effective risk management tool for upstream companies, Société Generale, London. http://www.ogfj.com/articles/print/volume-9/issue-11/features/etrm/hedging-is-an-effective-risk-management.html (2012). Accessed 11 Nov 2012

  40. Sato, K.-I.: Lévy Processes and Infinitely Divisible Distributions. Cambridge University Press, Cambridge (1999)

    MATH  Google Scholar 

  41. SenGupta, I.: Option pricing with transaction costs and stochastic interest rate. Appl. Math. Finance 21, 399–416 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  42. SenGupta, I.: Generalized BN-S stochastic volatility model for option pricing. Int. J. Theor. Appl. Finance 19(02), 1650014 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  43. Swidler, S., Butimer, R., Shaw, R.: Government hedging: motivation, implementation and evaluation. Public Budg. Finance 19, 75–90 (2004)

    Article  Google Scholar 

  44. Swishchuk, A.: Modeling of variance and volatility swaps for financial markets with stochastic volatilities. Wilmott Magazine, September, Technical article No 2, 64–72 (2004)

  45. Swishchuk, A.: Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities. World Scientific Publishing Company, Singapore (2013)

    Book  MATH  Google Scholar 

  46. The Guardian (2015): Ryanair warns plunging oil price will hurt profits. https://www.theguardian.com/business/2015/feb/02/ryanair-warns-plunging-oil-price-hurt-profits. Accessed 2 Feb 2015

  47. Wolfe, S.J.: On a continuous analogue of the stochastic difference equation \(\rho X_{n+1}+B_n\). Stoch. Process. Appl. 12, 301–312 (1982)

    Article  Google Scholar 

  48. Yun, W.C., Kim, H.J.: Hedging strategy for crude oil trading and the factors influencing hedging effectiveness. Energy Policy 38(5), 2404–2408 (2010)

    Article  Google Scholar 

  49. Zahradnik, R., Iyengar, A., Zhang, A.: Tax Revenue Volatility Poses Budget Challenges for Some States, Pew Charitable Trusts. http://www.pewtrusts.org/en/research-and-analysis/analysis/2017/02/02/tax-revenue-volatility-poses-budget-challenges-for-some-states (2017). Accessed 2 Feb 2017

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The authors would like to thank the anonymous reviewers for their careful reading of the manuscript and for suggesting points to improve the quality of the paper.

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Correspondence to Indranil SenGupta.

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SenGupta, I., Wilson, W. & Nganje, W. Barndorff-Nielsen and Shephard model: oil hedging with variance swap and option. Math Finan Econ 13, 209–226 (2019). https://doi.org/10.1007/s11579-018-0225-4

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