April 24th, 2002, 9:53 pm
Sam,Malliavin calcullus is the formal notation for the calculus of variations of stochastic integrals. If you are not comfortablewith the calculus of variations of conventional integrals, let's just say that for most (in fact all I've seen so far) cases it amountsto exactly the same as what Broadie and Glassermann call the "likelihood ratio" method. I had an article in Paul's magazine'sonly printed version that explained some simple results for the conventional Black-Scholes model. Search the web, there ismore out there. There is also a little more on the likelihood ratio method in my book. As for the hard mathematical formalismthat is actually called Malliavin calculus, I never needed to resort it. There are papers that prove rigorously that among themany corrective factors for the measure (called likelihood ratios by Broadie and Glassermann) that one can choose to obtainthe desired Greeks, the ones that are straightforward to compute (exactly the ones that Broadie and Glassermann wouldgive you, which is what I give in my book) turn out to be optimal in the sense of returning the Greeks with the smallestpossible variance from the simulation. In other words, I don't think Malliavin calculus is useless, but it turns out that thespecial case of Malliavin calculus known as the likelihood ratio method (which is also, in my opinion, fairly easy to comprehend)is the optimal way of computing the Malliavin weights (also known as likelihood ratios).It's not that hard, but it may take more than five minutes to get your head around it.Regards,pj