Article ID: | iaor20125694 |
Volume: | 23 |
Issue: | 4 |
Start Page Number: | 341 |
End Page Number: | 364 |
Publication Date: | Oct 2012 |
Journal: | IMA Journal of Management Mathematics |
Authors: | Consigli Giorgio, Beraldi Patrizia, Iaquinta Gaetano, De Simone Francesco, Violi Antonio |
Keywords: | programming: probabilistic |
The 2008 credit crisis has deeply affected the price of corporate liabilities in both equity and fixed income secondary markets leading to unprecedented portfolio losses by financial investors. A coordinated intervention by monetary institutions limited the systemic consequences of the crisis, without, however, avoiding a significant fall of corporate bond prices across international markets. In this article, we analyse alternative portfolio optimization approaches in the fixed income market over the 2008–2009 period, a time in which credit derivative markets became very illiquid. All policies are analysed relying on a unique set of market and credit scenarios generated by common and idiosyncratic risk factors on an extended investment universe. The crisis provides an interesting test period to analyse in particular the potential of dynamic versus static portfolio selection approaches. We also consider dynamic portfolio strategies based on multistage stochastic programming versus policy rule‐based methods and analyse their relative performance against a corporate bond index widely adopted in practice as a market benchmark.