create a new American-style option - Maple Help

Online Help

All Products    Maple    MapleSim


Home : Support : Online Help : Mathematics : Finance : Financial Instruments : Finance/AmericanOption

Finance[AmericanOption] - create a new American-style option

Calling Sequence

AmericanOption(payoff, earliestexercise, latestexercise, opts)

Parameters

payoff

-

payoff function

earliestexercise

-

a non-negative constant, a string containing a date specification in a format recognized by ParseDate, or a date data structure; the earliest date or time when the option can be exercised

latestexercise

-

a non-negative constant, a string containing a date specification in a format recognized by ParseDate, or a date data structure; the maturity time or date

opts

-

(optional) equation(s) of the form option = value where option is one of referencedate or daycounter; specify options for the AmericanOption command

Description

• 

The AmericanOption command creates a new American-style option with the specified payoff and maturity. This option can be exercised at any time between the earliestexercise and the latestexercise dates. This is the opposite of a European-style option, which can only be exercised on the date of expiration.

• 

The parameter payoff is the payoff function for the option. It can be either an algebraic expression or a procedure. A procedure defining a payoff function must accept one parameter (the value of the underlying) and return the corresponding payoff. This procedure will be called with floating-point arguments only and must return floating-point values. If payoff is given as an algebraic expression it must depend on a single variable. This expression will be converted to a Maple procedure using the unapply function.

• 

The parameter earliestexercise specifies the earliest time or date when the option can be exercised. It can be given either as a non-negative constant or as a date in any of the formats recognized by the ParseDate command. If earliestexercise is given as a date, then the period between referencedate and earliestexercise will be converted to a fraction of the year according to the day count convention specified by daycounter. Typically the value of this option is 0, which means that the option can be exercised at any time until the maturity. Note that the time of the earliest exercise must precede the maturity time.

• 

The parameter latestexercise specifies the maturity time of the option. It can be given either as a non-negative constant or as a date in any of the formats recognized by the ParseDate command. If earliestexercise is given as a date, then the period between referencedate and latestexercise will be converted to a fraction of the year according to the day count convention specified by daycounter.

• 

The LatticePrice command can be used to price an American-style option using any given binomial or trinomial tree.

Examples

withFinance:

Set the global evaluation date to January 3, 2006.

SetEvaluationDateJanuary 3, 2006:

Settingsdaycounter=Thirty360European

Historical

(1)

Construct a binomial tree approximating a Black-Scholes process with initial value 100, risk-free rate of 10% and constant volatility of 40%. Assume that no dividend is paid. Build the tree by subdividing the time period 0..0.6 into 1000 equal time steps.

T:=BlackScholesBinomialTree100,0.1,0.0,0.4,0.6,1000:

Consider an American put option with a strike price of 100 that matures in 6 months.

P:=S→max100S,0

P:=S→max100S,0

(2)

A1:=AmericanOptionP,0,0.5:

Maturity:=AdvanceDateEvaluationDate,6,Months,output=formatted

Maturity:=July 3, 2006

(3)

YearFractionMaturity

0.5000000000

(4)

A2:=AmericanOptionP,EvaluationDate,Maturity:

Calculate the price of this option using the tree constructed above. Use the risk-free rate as the discount rate.

LatticePriceA1,T,0.1

9.220859736

(5)

LatticePriceA2,T,0.1

9.220859736

(6)

Consider an American call option with a strike price of 100 that matures in 6 months.

P:=S→maxS100,0

P:=S→maxS100,0

(7)

A3:=AmericanOptionP,0,0.5:

Maturity:=AdvanceDateEvaluationDate,6,Months,output=formatted

Maturity:=July 3, 2006

(8)

A4:=AmericanOptionP,EvaluationDate,Maturity:

Calculate the price of this option using the tree constructed above. Use the risk-free rate as the discount rate.

LatticePriceA3,T,0.1

13.58412136

(9)

LatticePriceA4,T,0.1

13.58412136

(10)

Consider a more complicated payoff function.

P:=S&rarr;piecewiseS<90&comma;0&comma;S<100&comma;S90&comma;S<110&comma;100S&comma;0

P:=S&rarr;piecewiseS<90&comma;0&comma;S<100&comma;S90&comma;S<110&comma;100S&comma;0

(11)

A5:=AmericanOptionP&comma;0&comma;0.5&colon;

Maturity:=AdvanceDateEvaluationDate&comma;6&comma;Months&comma;output&equals;formatted

Maturity:=July 3, 2006

(12)

A6:=AmericanOptionP&comma;EvaluationDate&comma;Maturity&colon;

Calculate the price of this option using the tree constructed above. Use the risk-free rate as the discount rate.

LatticePriceA5&comma;T&comma;0.1

8.753522621

(13)

LatticePriceA6&comma;T&comma;0.1

8.753522621

(14)

Move the earliest exercise date and observe how the price of an American-style option approaches the price of the corresponding European-style option.

E:=EuropeanOptionP&comma;0.5&colon;

A:=seqAmericanOptionP&comma;0.1i&comma;0.5&comma;i&equals;0..5&colon;

LatticePriceE&comma;T&comma;0.1

0.5572512626

(15)

mapLatticePrice&comma;A&comma;T&comma;0.1

8.753522621&comma;6.257560595&comma;4.973121346&comma;3.845201308&comma;2.647126785&comma;0.5572512626

(16)

See Also

Finance[BermudanOption], Finance[BinomialTree], Finance[BlackScholesBinomialTree], Finance[BlackScholesTrinomialTree], Finance[EuropeanOption], Finance[GetDescendants], Finance[GetProbabilities], Finance[GetUnderlying], Finance[ImpliedBinomialTree], Finance[ImpliedTrinomialTree], Finance[LatticeMethods], Finance[LatticePrice], Finance[SetProbabilities], Finance[SetUnderlying], Finance[StochasticProcesses], Finance[TreePlot], Finance[TrinomialTree]

References

  

Glasserman, P., Monte Carlo Methods in Financial Engineering, Springer-Verlag, 2004.

  

Hull, J., Options, Futures and Other Derivatives, 5th. edition. Prentice Hall, 2003.

  

Jackel, P., Monte Carlo Methods in Finance, John Wiley & Sons, 2002.

  

Joshi, M., The Concepts and Practice of Mathematical Finance, Cambridge University Press, 2003.

  

Wilmott, P., Paul Wilmott on Quantitative Finance, John Wiley and Sons Ltd, 2000.

  

Wilmott, P., Howison, S., and Dewyne, J., The Mathematics of Financial Derivatives, New York: Cambridge University Press, 1995.


Download Help Document

Was this information helpful?



Please add your Comment (Optional)
E-mail Address (Optional)
What is ? This question helps us to combat spam