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...

This study yields a contribution to a better understanding of the interest rate sensitivity of real estate and should enable a more sophisticated interest rate risk management, especially for insurance companies and pension funds. This is achieved by modelling the whole life of a typical but...

We investigate whether corporate finance incentives affect the extent of corporate hedging with property insurance. Using a database that contains detailed insurance information, we show that firms buy property insurance to reduce the expected costs of distress. Further, we document a scale...

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...

Regulators dedicate much attention to the option that financial institutions in distress have to transfer losses to their creditors. It is generally recognized that the existence of this option provides intermediaries with a powerful incentive to keep firm capital close to the minimal...