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R is a pretty impressive piece of software. I'm surprised as to why people would spend large sums of money on SAS or S+ solutions.

Thanks for the reply Joel, I agree it's not a well posed question. I come from an experimental physics background and my only exposure to probabilistic reasoning comes from either error analysis in experiments or quantum mechanics. Thanks for the reply.

I was wondering if there are any models that allow distributions to evolve in time? It seems fairly obvious while analyzing any type of market data that the underlying probability distributions are anything but stationary; their statistical variables change on a fairly small time scale in many...

I was wondering if anyone here is currently using R for financial engineering applications, or has any input or resources about it's applicability; thanks in advance-

This sounds interesting; I'd like to take a look once I have a bit more background. Follow up question: what's the relation between a measure and a numeraire?

Awesome, thanks Andy. It looks like there hasn't been a lot of activity since late last year; but it builds and seems fairly complete.

I was wondering if anyone had any good experiences with a particular .NET library including common algorithms in quantitative finance.

How is this shift of the expected return achieved? Is there an analogy to a transformation of basis (in the llinear algebra sense)? Also, I'm probably missing something fundamental here, but how can something be priced by the assumption of risk neutrality? I'm sure investors in the real world...

I was wondering how different distributions (such as the normal distribution) are affected when calculated in a risk neutral measure (I'm new to this)