A topic Modern Computational Finance was created on Quora for exchanging questions, answers, suggestions and comments about the Modern Computational Finance book, and, more generally, the topics of Numerical Finance, Monte-Carlo simulations, quasi-random number generators, parallel implementation in C++ and of course automatic differentiation.
The RiO 2018 conference in mathematical finance, organized by IMPA, was held in Buzios, Rio de Janeiro, Brazil, on 24-28 November 2018, to celebrate the 60th birthday of Bruno Dupire, one of the most influential figures in the history of financial derivatives. The event gathered a number of leading scientists and professionals in one of the most productive and satisfying conferences of the year.
As one of his original alumni, I was given the responsibility to retrace some of Bruno’s ground breaking innovations, and, as a lecturer in Volatility, put them in perspective in the context of volatility modeling and derivatives trading.
See my slides here:
For those of you who like my posts and stories, I am working on a few nice talks and workshops on introductory automatic differentiation, deep learning, Monte-Carlo simulations and parallel programming that will land on my SlideShare page soon. Please follow me to be notified of updates.
Right now, my page has my volatility lecture notes from Copenhagen University, my interest rate modeling slides from a course internal to Danske Bank, an introduction to multi-curve and collateral consistent discounting, some material on AAD and scripting, and a personal favorite about risk smoothing and fuzzy logic.
Comments, suggestions and questions are welcome, of course.
Please post your questions, suggestions, comments or reviews of the book Modern Computational Finance: AAD and Parallel Simulations on the author’s page:
or the book’s GoodReads page:
A public preview, including Leif Andersen’s preface, is available on SSRN:
My book is out on Amazon today. You can read about it in my Medium post:
A free preview, including Leif Andersen’s preface, is available here:
The companion code is freely available on GitHub:
Follow the repo to be notified of updates, extensions and fixes.
I will be answering questions, suggestions and comments on my GoodReads page:
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.
Heading to Brazil next week to speak in the Rio 2018 event, honoring Bruno Dupire’s 60th birthday.