Quantitative Finance & Risk Expert
Raphael Douady is a French mathematician and economist.
Rewarding funds who excel at properly managing their downside risk
We propose a thorough risk analysis of your portfolio. You will get a comprehensive list of the scenarios that may most impact your portfolio, with a clear explanation of its most vulnerable components and some proposed actions – rebalancing or hedging – to properly weather these scenarios.
Data will only “speak” what we tell them to “speak"
“Let the data speak and the machine learn from it” is the new credo of Data Science. Nothing could be more wrong, unless, like Mother Nature, we had one billion years to train our machines… Data will only “speak” what we tell them to “speak”, that is, how we have selected them. We believe that there is tremendous value in new data science techniques, leveraging on the incredible growth in computer and memory performances, but this value can only be extracted with a clever collaboration of man and machine, that is, between a slow, highly connected biological computer, trained for a billion years, and a fast, powerful, but weakly trained electronic computer.
Machine Learning can turn out very useful when human analysis reaches its limits, in very complex fields, such as risk analysis, manager selection or portfolio construction. It should only be used to enhance human expertise, and not to naively replace it. For instance: anticipating the behavior of complex systems under unexpected circumstances (e.g. stress testing), identifying, by a thorough long-term and worldwide statistical analysis of financial markets, the various regimes that may occur and the probability of falling into one or the other.