E-grāmata: Quantitative Modeling of Derivative Securities: From Theory To Practice

"This fine treatment of the arbitrage pricing of derivatives will become a standard. Avellaneda and Laurence have brought their extensive combined knowledge in [ a treatment] mathematics that financial analysts will find both concrete and authoritative." -Darrell Duffie, Professor of Finance, Graduate School of Business, Stanford University

"I learned a great deal of what I know of mathematics finance from Marco Avellaneda - and I know I will learn a lot more. Not only is he a great scholar, but he is a superb pedagogue, capable to cut to the chase and avoid needless complications - with the ease and simplicity of those who truly master the subject. I am glad this book by Avellaneda and Laurence is out so more people can share his knowledge." -Nassim Taleb, Trader, Paribas Capital Markets

"Written by two of the field's leading experts, this book stands out from the crowd of recent books on derivatives pricing theory. I recommend it to anyone interested in this fascinating field." -Peter Carr, Principal, Bank of America Securities

"This is a textbook, though it contains no exercises, on the theory underlying the modeling and risk management of financial derivatives. The authors attempt to link theory with practice, not flinching from pointing out that the theory does no have all the answers. The mathematical style is informal, assuming an understanding of linear algebra and elementary probability, but not requiring a grasp of measure theory. It introduces stochastic calculus.

"Despite the recent publicity concerning how physics PhDs can find highly remunerative employment in this area, the authors point out that "financial modeling is very different from modeling in the natural sciences. Unlike physics, where we deal with reproducible experiments with well-defined initial conditions, the models and ideas presented in this book deal with phenomena for which we have only limited information and that are not necessarily reproducible