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.
The Amazon Kindle version of the ebook Modern Computational Finance: AAD and Parallel Simulations by Antoine Savine is broken. The equations are wrongly rendered, making the ebook unreadable.
Amazon and Wiley have been notified and the ebook will be fixed soon on Amazon. Please do not purchase in the meantime. The ebook is also available on other places, like Apple Books or Wiley’s own store. (As far as we know) the ebook is only broken on Amazon.
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.
The slides for the presentation on scripting in finance, given at Oxford University in 2017 and QuantMinds and WBS in 2018, were just posted to SSRN, together with a brief history of scripting in finance, written by Jesper Andreasen: