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Hedging Market and Credit Risk in Corporate Bond Portfolios

In: Stochastic Optimization Methods in Finance and Energy

Author

Listed:
  • Patrizia Beraldi

    (University of Calabria)

  • Giorgio Consigli

    (University of Bergamo)

  • Francesco De Simone

    (University of Calabria)

  • Gaetano Iaquinta

    (University of Bergamo)

  • Antonio Violi

    (University of Calabria)

Abstract

The European market for corporate bonds has grown significantly over the last two decades to become a preferable financing channel for large corporations in the local and Eurobond markets. The 2008 credit crisis has, however, dramatically changed corporations funding opportunities with similar effects on borrowing policies of sovereigns as well. Accordingly institutional and individual investors have progressively reduced the share of credit risky instruments in their portfolios. This chapter investigates the potential of multistage stochastic programming to provide the desired market and credit risk control for such portfolios over the recent, unprecedented financial turmoil. We consider a Eurobond portfolio, traded in the secondary market, subject to interest and credit risk and analyse whether a jump-to-default risk model and a dynamic control policy would have reduced the impact of severe market shocks on the portfolios during the crisis, to limit the systemic impact of investment strategies. The methodology is shown to provide an effective alternative to popular hedging techniques based on credit derivatives at a time in which such markets became extremely illiquid during the Fall of 2008.

Suggested Citation

  • Patrizia Beraldi & Giorgio Consigli & Francesco De Simone & Gaetano Iaquinta & Antonio Violi, 2011. "Hedging Market and Credit Risk in Corporate Bond Portfolios," International Series in Operations Research & Management Science, in: Marida Bertocchi & Giorgio Consigli & Michael A. H. Dempster (ed.), Stochastic Optimization Methods in Finance and Energy, edition 1, chapter 0, pages 73-98, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-9586-5_4
    DOI: 10.1007/978-1-4419-9586-5_4
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    Cited by:

    1. Alonso-Ayuso, Antonio & Carvallo, Felipe & Escudero, Laureano F. & Guignard, Monique & Pi, Jiaxing & Puranmalka, Raghav & Weintraub, Andrés, 2014. "Medium range optimization of copper extraction planning under uncertainty in future copper prices," European Journal of Operational Research, Elsevier, vol. 233(3), pages 711-726.

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