[Quantlib-dev] using quantlib in Matlab

[steven e. p. <sha...@gm...>]

hello;


I am trying to use the quantlib library from Matlab. As a test case, I 
adapted the EquityOption.cpp example code from the quantlib webpage to a cpp
file which would generate the price of an American Put option with parameters
given by the user, using a few different pricing engines. Before writing the
mex, I had created a standalone version which accepted input from std::cin, and
this ran fine. 
However, when I run the code from matlab, the results always come back as 0. I
do not know a lot about the guts of quantlib, and the lazy evaluation methods
being used. However, it seems that when I run the standalone, it takes about 1
second or so (there are some binomial lattice engines being used), whereas when
I run the mex file from matlab, it returns zeros instantaneously. I suspect
somehow that the << operator in the standalone (copied from EquityOption.cpp)
forces the option to be evaluated under the given engine, but this is not being
done in my matlab mex.
Am I wrong about this? Do I have to force evaluation somehow? As a snippet of
code, I have things like this in the mex:

 	americanOptionPut.setPricingEngine(boost::shared_ptr<PricingEngine>(
 						new BinomialVanillaEngine<JarrowRudd>(bsmProcess,timeSteps)));
 	P[iii] = (double)americanOptionPut.NPV();   //puts the results in the output

whereas in the standalone it looks more like:
 	americanOptionPut.setPricingEngine(boost::shared_ptr<PricingEngine>(
 						new BinomialVanillaEngine<JarrowRudd>(bsmProcess,timeSteps)));
 	std::cout << "the result is " << americanOptionPut.NPV() << std::endl;


any hints? thanks,


--sep


[ Steven E. Pav                      {bikes/bitters/linux} nerd ]
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