Asset-liability management under time-varying investment opportunities

A robust optimization approach to asset-liability management under time-varying investment opportunities

This paper presents an asset liability management model based on robust optimization techniques. The model explicitly takes into consideration the time-varying aspect of investment opportunities. The emphasis of the proposed approach is on computational tractability and practical appeal. Computational studies with real market data study the performance of robust-optimization-based strategies, a...

International Asset Allocation with Time-Varying Investment Opportunities

Global Asset Liability Management

Dynamic financial analysis (DFA) is a technique which uses Monte Carlo simulation to investigate the evolution over time of financial models of funds, complex liabilities and entire firms. Although of increasing popularity, the drawback of DFA is the dearth of systematic methods for optimising model parameters for strategic financial planning. This paper introduces strategic DFA which employs t...

Robust Consumption and Portfolio Choice for Time Varying Investment Opportunities

This paper examines a continuous-time intertemporal consumption and portfolio choice problem for an investor with recursive preferences. The investor worries about model misspecification and seeks robust decision rules. The expected excess return of a risky asset follows a mean-reverting process. I find that whether the concern about model misspecification decreases the total demand for equitie...

Massively Parallel Asset and Liability Management

Multistage Stochastic Programming is a popular method to solve financial planning problems such as Asset and Liability Management (ALM). The desirability to have future scenarios match static and dynamic correlations between assets leads to problems of truly enormous sizes (often reaching tens of millions of unknowns or more). Clearly parallel processing becomes mandatory to deal with such prob...