Worst-case optimal investment with a random number of crashes

Christoph Belak, Sören Christensen, Olaf Menkens

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We study a portfolio optimization problem in a market which is under the threat of crashes. At random times, the investor receives a warning that a crash in the risky asset might occur. We construct a strategy which renders the investor indifferent about an immediate crash of maximum size and no crash at all. We then verify that this strategy outperforms every other trading strategy using a direct comparison approach. We conclude with numerical examples and calculating the costs of hedging against crashes.

Original languageEnglish
Pages (from-to)140-148
Number of pages9
JournalStatistics and Probability Letters
Volume90
Issue number1
DOIs
StatePublished - Jul 2014
Externally publishedYes

Keywords

  • Financial bubbles
  • Market crashes
  • Optimal investment
  • Worst-case scenario

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