Marc Henrard - Multi-curve framework

I had the honor of having my new book endorsed by experts on Algorithmic Differentiation. The endorsement can also be found on the book's back cover. (Adjoint) Algorithmic Differentiation has quickly become an indispensable tool in modern financial engineering. Marc Henrard’s book is a lucid and concise introduction to the topic. The subject is introduced simply and clearly, from a mathematician’s prospective, and with the clear intention of demystifying the `black magic’ behind the staggering computational benefits of the technique. A nice read that many practitioners are likely to find useful. Luca Capriotti Visiting Professor Department of Mathematics, University College London

The ECB has decided to published a new unsecured overnight interest rate benchmark. The press released was posted on its website a couple of days ago. No name has been proposed yet for the new benchmark. This would be a new benchmark on top of the existing EONIA and STOXX GC Pooling Index. Those two benchmarks are already the underlying of some derivatives. It is expected that the new index, planned to be published by 2020, will also be used in some derivatives. That would mean three competing overnight benchmarks in EUR all of them with associated derivatives. That would means twelve (12) possible ON derivatives types. One type for each of the benchmarks used as underlying in combination with each of the benchmarks used for the computation of interest on the mandatory VM amounts, to which you have to add futures, which are equivalent to derivatives with a collateral rate of 0. And you have to add the potential difference in capital treatment for the settle-to-market feature . ...

I had the honor of having my new book endorsed by experts on Algorithmic Differentiation. The endorsement can also be found on the book's back cover. With the number of Greeks relevant for the robust evaluation of financial products increasing steadily over recent years the subject of Algorithmic Differentiation has been gaining substantial popularity in computational finance. Marc Henrard presents an accessible explanation of the subject from the perspective of a highly experienced developer of financial simulation code. His book establishes a very useful entry point into the exciting world of adjoint methods in finance for both practitioners and academics. Uwe Naumann Professor RWTH Aachen University

I had the honor of having my new book endorsed by experts on Algorithmic Differentiation. The endorsement can also be found on the book's back cover. An easy, short and smooth path to Algorithmic Differentiation in Finance! Andrea Macrina Reader in Mathematics Department of Mathematics University College London

The printed copies of my book Algorithmic Differentiation in Finance Explained are now available. Picture of the book with Canary Wharf in the background. Rant on books!