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Chapter 34 Energy and Commodity Derivatives,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,1,Agricultural Commodities,Corn, wheat, soybeans, cocoa, coffee, sugar, cotton, frozen orange juice, cattle, hogs, pork bellies, etc Supply-demand measured by stocks-to-use ratio Seasonality and mean reversion in prices (farmers have a choice about what they produce) Weather important,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,2,Metals,Gold, silver, platinum, palladium, copper, tin, lead, zinc, nickel, aluminium, etc No seasonality; weather unimportant Investment vs consumption metals Some mean reversion (It can become uneconomic to extract a metal) Recycling,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,3,Energy Commodities,Main energy sources Oil Gas Electricity All have mean reverting prices Gas and electricity exhibit jumps,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,4,Crude Oil,Largest commodity market in the world Many grades. For example Brent crude oil (sourced from North Sea) West Texas Intermediate (WTI) crude Refined products, for example: Gasoline Heating oil Kerosene,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,5,Oil Derivatives (page 777),Virtually all derivatives available on stocks and stock indices are also available in the OTC market with oil as the underlying asset Futures and futures options traded on the New York Mercantile Exchange (NYMEX) and the International Petroleum Exchange (IPE) are also popular,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,6,Natural Gas and Electricity,Deregulated Elimination of government monopolies Producer and supplier not necessarily the same,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,7,Natural Gas Derivatives (page 777-778),A typical OTC contract is for the delivery of a specified amount of natural gas at a roughly uniform rate to specified location during a month. NYMEX and IPE trade contracts that require delivery of 10,000 million British thermal units of natural gas to a specified location,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,8,Electricity Derivatives (page 778-779),Electricity is an unusual commodity in that it cannot be stored The U.S is divided into about 140 control areas and a market for electricity is created by trading between control areas.,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,9,Electricity Derivatives continued,A typical contract allows one side to receive a specified number of megawatt hours for a specified price at a specified location during a particular month Types of contracts: 5x8, 5x16, 7x24, daily or monthly exercise, swing options,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,10,Commodity Prices,Futures prices can be used to define the process followed by a commodity price in a risk-neutral world. We can build in mean reversion and use a process for constructing trinomial trees that is analogous to that used for interest rates in Chapter 30,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,11,The Process for the Commodity Price,A simple mean reverting process is d ln(S) = q(t) aln(S) dt + s dz Can also be written Assume a = 0.1, s = 0.2, and Dt = 1 year,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,12,Tree for ln(S) Assuming q(t)=0; Fig 34.1,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,13,Determining q(t),The nodes on the tree are moved so that the expected commodity price equals the futures price Assume that the one-year, two-year and three-years futures price for the commodity are $22, $23, and $24, respectively,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,14,Final Tree; Fig 34.2,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,15,Interpolation and Seasonality,A simple approach Use a 12 month moving average of spot prices to determine a percentage seasonality factor for each month De-seasonalize the futures prices that are known Interpolate to determine other de-seasonalized futures prices Re-seasonalize all futures prices and construct tree,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,16,Jumps,Some commodity prices such as gas and electricity exhibit jumps A process that can be assumed is then where dp is a Poisson process generating jumps If Poisson process is known we can use tree to model process without jumps and thereby determine q(t) Can be implemented with Monte Carlo simulation,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,17,Other Models,Convenience yield follows a mean reverting process (Gibson and Schwartz) Volatility stochastic (Eydeland and Geman) Reversion level stochastic (Geman),Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,18,Weather Derivatives: Definitions (page 785),Heating degree days (HDD): For each day this is max(0, 65 A) where A is the average of the highest and lowest temperature in F. Cooling Degree Days (CDD): For each day this is max(0, A 65) Contracts specify the weather station to be used,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,19,Weather Derivatives: Products,A typical product is a forward contract or an option on the cumulative CDD or HDD during a month Weather derivatives are often used by energy companies to hedge the volume of energy required for heating or cooling during a particular month How would you value an option on August CDD at a particular weather station?,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,20,How an Energy Producer Hedges Risks,Estimate a relationship of the form Y=a+bP+cT+e where Y is the monthly profit, P is the average energy prices, T is temperature, and e is an error term Take a position of b in energy forwards and c in weather forwards.,Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull 2014,21,Insurance Derivatives (page 786),CAT bonds are an alterna
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