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Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊楊楊 1

Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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Page 1: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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Unspanned Stochastic Volatility and the Pricing of Commodity DerivativesAnders B. Trolle and Eduardo S. Schwartz

2010.12.08

楊函玲

Page 2: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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Outline 1.Introduction

2. Data

3.Model

4. Results

5.Conclusion

Page 3: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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1.Introduction The first main contribution of the paper is to

develop a tractable framework for pricing commodity derivatives in the presence of unspanned stochastic volatility.

In its most general form, futures prices are driven by three factors (one factor being the spot price of the commodity and two factors affecting the forward cost of carry curve), and option prices are driven by two additional volatility factors.

Page 4: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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1.Introduction The second main contribution of the paper is

to conduct an extensive empirical analysis of the model.

We use a very large panel data set of the New York Mercantile Exchange (NYMEX) crude oil futures and options spanning 4082 business days from January 1990 to May 2006. It consists of a total of 45,517 futures prices and 233,104 option prices.

Page 5: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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2. Data The raw data set consists of daily data from 2

January 1990 until 18 May 2006, on settlement prices, open interest, and daily volume for all available futures and options.

We make two observations regarding liquidity. First, open interest for futures contracts tends to

peak when expiration is a couple of weeks away, after which open interest declines sharply.

Second, among futures and options with more than a couple of weeks to expiration, the first six monthly contracts tend to be very liquid.

Page 6: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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2. Data This procedure leaves us with twelve generic

futures contracts, which we label M1, M2, M3, M4, M5, M6, Q1, Q2, Y1, Y2, Y3, and Y4.

We use options on the first eight futures contracts, M1–Q2.

Page 7: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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Page 8: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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Volatility is evidently

stochastic.

Page 9: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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3.Model S(t) : the time-t spot price of the commodity

δ(t) : an instantaneous spot cost of carry

y(t, T ) : the time-t instantaneous forward cost of carry at time T, with y(t, t) = δ(t)

the volatility of both S(t) and y(t, T ) may depend on two volatility factors, v1 (t) and v2 (t).

, i = 1, . . . , 6 : Wiener processes under the risk-neutral measure

QiW t

Page 10: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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3.Model

1 1 1 2 2 2

1 1 3 2 2 4

1 1 1 1 12 2 1 1 5

2 1 21 1 2 2 2 2 6

, , , ,

, i

Q QS S

Q Qy y y

Q

Q

T tyi i

dS tt dt t dW t t dW t

S t

dy t T t T dt t T t dW t t T t dW t

d t t t dt t dW t

d t t t dt t dW t

t T e

Page 11: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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3.Model To price options on futures contracts, we

introduce the transform

by applying the Fourier inversion theorem The time-t price of a European put option expiring

at time T0 with strike K on a futures contract expiring at time T1 , P(t, T0 , T1 , K ), is given by

0 1

0

0 1

log ,

0 1

0 1 0 1 ,

0 0,1 1,1

0 10 1, 0

, , ,

, , , , 1

, log log

Im , , ,, , , 1

2

T

t

F T TQt

r s dsQt F T T K

iuy

a b

t T T E e

t T T K E e K F T T

P t T KG K G K

a iub t T T ea t T TG y du

u

Page 12: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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3.Model In the SV2 specification

In the SV1 specification

2 2 2 12

1 1 1 1 1 1 5

we set 0, 0, 0, and 0,

which implies that the volatility process simpli es to

There is only one volatility factor that may be partially

spanned by the futures c

S

Qd t t dt t dW t

fi

ontracts.

2 2

1 12 1

21

1 1 2 1

we set 0, 0 , the second volatility factor is completely

unspanned by the futures contracts .We also impose 0, ,

and 0, so that the volatility process simpli es to

S

d t t t dt

fi

1 1 5

2 2 2 2 2 2 6

Q

Q

t dW t

d t t dt t dW t

Page 13: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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4. Results 4.1 Parameter Estimates

imposing κ21 = 0 and κ12 = −κ1 in the

SV2

σ S1 and α1 are significantly larger than σ S2 and α2

Page 14: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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4.1 Parameter Estimates

Page 15: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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4. Results4.2 Pricing Performance

For the futures contracts, the pricing errors are given by the differences between the fitted and actual prices divided by the actual prices.

For the option contracts, the pricing errors are given by the differences between fitted and actual lognormal implied volatilities.

On each day in the sample, we compute the root mean squared pricing errors (RMSEs) of the futures and options trading on that day.

Page 16: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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4.2 Pricing Performance

The are 0.040 and 0.012 for the first and the second volatility factor, respectively, confirming that these are indeed largely unspanned by the futures term structure.

2R

Page 17: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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SV1(SV2)

SV2gen

1990.8.2伊拉克打科威特 1991.1.17美國打伊拉克

4.2 Pricing Performance2001.9.11恐怖襲擊事件2003.3.20美國打伊拉克

SV2gen(SV2)

SV1

Page 18: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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4.2 Pricing Performance

Page 19: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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4.2 Pricing Performance

SV2

SV1

Page 20: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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4. Results4.3 Hedging Performance

Page 21: Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives Anders B. Trolle and Eduardo S. Schwartz 2010.12.08 楊函玲 1

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5.Conclusion We find that two volatility factors are

necessary to fit options on futures contracts across the maturity and moneyness dimensions.

a more parsimonious two-factor specification, where the second volatility factor is completely unspanned by the futures contracts and does not affect the instantaneous volatility of the spot price or the forward cost of carry, performs almost as well as the general specification in terms of pricing short-term and medium-term options.

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Thank you