Modern Computational Finance: AAD and Parallel Simulations (Wiley, November 13th 2018)

Quantitative Finance

My book is out on Amazon today. You can read about it in my Medium post:

http://medium.com/@antoine_savine/modern-computational-finance-aad-and-parallel-simulations-c8cd42e7ad6e

A free preview, including Leif Andersen’s preface, is available here:

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=3281877

The companion code is freely available on GitHub:

http://github.com/asavine/CompFinance/wiki

Follow the repo to be notified of updates, extensions and fixes.

I will be answering questions, suggestions and comments on my GoodReads page:

http://www.goodreads.com/author/show/18069638.Antoine_Savine

I put all my years of promoting, teaching and professionally implementing automatic adjoint differentiation (AAD) in this book, yet it took years of working nights and week-ends to (hopefully) get it right. I hope readers find that it was worth the effort.

Antoine Savine

book-1
out now

 

Published by Antoine Savine

Antoine Savine is a French mathematician, academic and a leading derivatives research professional with Danske Bank in Copenhagen. Antoine also teaches Volatility and Computational Finance at Copenhagen University. He is the author of Modern Computational Finance with John Wiley and Sons. Antoine holds a PhD in Mathematics, and is best known for his work on volatility and interest rate models. He was influential in the development of cashflow scripting, the application of generalized derivatives to volatility, and the wide adoption of AAD in financial systems.

Published

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