Created
April 2, 2012 00:33
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Black Scholes in Erlang
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% Simple Black Scholes implementation for Erlang | |
% Author: Peter Membrey | |
% Date: 5th March 2012 | |
% Based on Python version by Andy Smith at: | |
% http://www.espenhaug.com/black_scholes.html | |
% | |
-module(blackscholes). | |
-compile(export_all). | |
calcCall(S,X,T,R,V) -> | |
D1 = (math:log(S/X)+(R+V*V/2.0)*T)/(V*math:sqrt(T)), | |
D2 = D1-V*math:sqrt(T), | |
S*normalDistribution(D1)-X*math:exp(-R*T)*normalDistribution(D2). | |
calcPut(S,X,T,R,V) -> | |
D1 = (math:log(S/X)+(R+V*V/2.0)*T)/(V*math:sqrt(T)), | |
D2 = D1-V*math:sqrt(T), | |
X*math:exp(-R*T)*normalDistribution(-D2)-S*normalDistribution(-D1). | |
normalDistribution(X) -> | |
A1 = 0.31938153, | |
A2 = -0.356563782, | |
A3 = 1.781477937, | |
A4 = -1.821255978, | |
A5 = 1.330274429, | |
L = abs(X), | |
K = 1.0 / (1.0 + 0.2316419 * L), | |
W = 1.0 - 1.0 / math:sqrt(2*math:pi())* math:exp(-L*L/2.0) * (A1*K + A2*K*K + A3*math:pow(K,3) + A4*math:pow(K,4) + A5*math:pow(K,5)), | |
case X < 0 of | |
true -> 1.0-W; | |
false -> W | |
end. |
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