[PDF.40qv] Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (Volume 53)
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Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (Volume 53)
Paul Glasserman
[PDF.hm87] Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (Volume 53)
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| #1964474 in Books | Springer | 2010-10-19 | 2010-10-19 | Original language:English | PDF # 1 | 9.25 x1.38 x6.10l,1.86 | File type: PDF | 596 pages | Springer||14 of 15 people found the following review helpful.| Advanced analysis|By wiredweird|Let me start by saying that I'm not a "quant." I am interested in the calculations that quants do, and in Monte Carlo techniques in general. As a result, I'm reviewing only about half of this book, the half on generally applicable Monte Carlo techniques, and skipping the finance-specific material that it alternates with.
As something|||"Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers … You will want to ha
From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [ . . . ] So often, financial engineering texts are very theoretical. This book is not" -Glyn Holton, Contingency Analysis
You easily download any file type for your device.Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (Volume 53) | Paul Glasserman. Just read it with an open mind because none of us really know.