With the recent rise of Machine Learning (ML) as a candidate to partially replace classic Financial Mathematics (FM) methodologies, we investigate the performances of both in solving the problem of dynamic portfolio optimization in continuous-time, finite-horizon setting for a portfolio of two...

Investment choice is a central theme of UK pension policy. This paper shows how a collective pension fund can be managed in a manner that allows individuals to choose how their pension is invested and their schedule of pension payments. The potential benefit to investors of such a fund is...

We show that when a derivative portfolio has different correlated underlyings, hedging using classical greeks (first-order derivatives) is not the best possible choice. We first show how to adjust greeks to take correlation into account and reduce P&L volatility. Then we embed...

Gaussian Copula as a model for default correlation has been recently criticized for a number of fallacies in its application to pricing and risk management of financial liabilities. Here we point out an element of model risk that appears to be overlooked. When the Gaussian Copula is applied to...

Within the context of risk integration, we introduce in risk measurement stochastic holding period (SHP) models. This is done in order to obtain a 'liquidity-adjusted risk measure' characterized by the absence of a fixed time horizon. The underlying assumption is that - due to changes on market...

A timely guide to understanding and implementing credit derivatives Credit derivatives are here to stay and will continue to play a role in finance in the future. But what will that role be? What issues and challenges should be addressed? And what lessons can be learned from the credit mess?...