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Determine American call option prices or sensitivities using Roll-Geske-Whaley option pricing model


PriceSens = optstocksensbyrgw(RateSpec,StockSpec,Settle,Maturity,OptSpec,Strike,'Name1',Value1...)



The annualized continuously compounded rate term structure. For information on the interest rate specification, see intenvset.


Stock specification. See stockspec.


NINST-by-1 vector of settlement or trade dates.


NINST-by-1 vector of maturity dates.


NINST-by-1 cell array of character vectors 'call' or 'put'.


NINST-by-1 vector of strike price values.


(Optional) All optional inputs are specified as matching parameter name/value pairs. The parameter name is specified as a character vector, followed by the corresponding parameter value. Parameter name/value pairs may be specified in any order; names are case-insensitive and partial matches are allowed provided no ambiguities exist. Valid parameter names are:

  • NOUT-by-1 or 1-by-NOUT cell array of character vectors indicating the nature and order of the outputs for the function. Possible values are: 'Price', 'Delta', 'Gamma', 'Vega', 'Lambda', 'Rho', 'Theta', or 'All'.

    For example, OutSpec = {'Price'; 'Lambda'; 'Rho'} specifies that the output should be Price, Lambda, and Rho, in that order.

    To invoke from a function: [Price, Lambda, Rho] = optstocksensbyrgw(..., 'OutSpec', {'Price', 'Lambda', 'Rho'})

    OutSpec = {'All'} specifies that the output should be Delta, Gamma, Vega, Lambda, Rho, Theta, and Price, in that order. This is the same as specifying OutSpec as OutSpec = {'Delta', 'Gamma', 'Vega', 'Lambda', 'Rho', 'Theta', 'Price'};.

  • Default is OutSpec = {'Price'}.


PriceSens = optstocksensbyrgw(RateSpec,StockSpec,Settle,Maturity,OptSpec,Strike,'Name1',Value1...) computes American call option prices or sensitivities using the Roll-Geske-Whaley option pricing model.

PriceSens is a NINST-by-1 vector of expected prices or sensitivities values.

    Note:   optstocksensbyrgw computes prices of American calls with a single cash dividend using the Roll-Geske-Whaley option pricing model. All sensitivities are evaluated by computing a discrete approximation of the partial derivative. This means that the option is revalued with a fractional change for each relevant parameter, and the change in the option value divided by the increment, is the approximated sensitivity value.


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This example shows how to compute American call option prices and sensitivities using the Roll-Geske-Whaley option pricing model. Consider an American stock option with an exercise price of $82 on January 1, 2008 that expires on May 1, 2008. Assume the underlying stock pays dividends of $4 on April 1, 2008. The stock is trading at $80 and has a volatility of 30% per annum. The risk-free rate is 6% per annum. Using this data, calculate the price and the value of delta and gamma of the American call using the Roll-Geske-Whaley option pricing model.

AssetPrice = 80;
Settle = 'Jan-01-2008';
Maturity = 'May-01-2008';
Strike = 82;
Rate = 0.06;
Sigma  = 0.3;
DivAmount = 4;
DivDate = 'Apr-01-2008';

% define the RateSpec and StockSpec
StockSpec = stockspec(Sigma, AssetPrice, {'cash'}, DivAmount, DivDate);

RateSpec = intenvset('ValuationDate', Settle, 'StartDates', Settle,...
'EndDates', Maturity, 'Rates', Rate, 'Compounding', -1, 'Basis', 1);

% define the OutSpec
OutSpec = {'Price', 'Delta', 'Gamma'};

[Price, Delta, Gamma]  = optstocksensbyrgw(RateSpec, StockSpec, Settle,...
Maturity, Strike,'OutSpec', OutSpec)
Price = 4.3860
Delta = 0.5022
Gamma = 0.0336

Introduced in R2008b

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