We introduce an ensemble learning method for dynamic portfolio valuation and risk management building on regression trees. We learn the dynamic value process of a derivative portfolio from a finite sample of its cumulative cash flow. The estimator is given in closed form. The method is fast and...

A standard repurchase agreement between two counterparties is considered to examine the endogenous choice of collateral, the feasibility of secured lending, and welfare implications of the central bank's collateral framework. As an innovation, we allow for two-sided counterparty risk. In line...

We introduce a simulation method for dynamic portfolio valuation and risk management building on machine learning with kernels. We learn the dynamic value process of a portfolio from a finite sample of its cumulative cash flow. The learned value process is given in closed form thanks to a...