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Computing semiparametric bounds on the expected payments of insurance instruments via column generation

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  • Robert Howley
  • Robert Storer
  • Juan Vera
  • Luis F. Zuluaga

Abstract

It has been recently shown that numerical semiparametric bounds on the expected payoff of fi- nancial or actuarial instruments can be computed using semidefinite programming. However, this approach has practical limitations. Here we use column generation, a classical optimization technique, to address these limitations. From column generation, it follows that practical univari- ate semiparametric bounds can be found by solving a series of linear programs. In addition to moment information, the column generation approach allows the inclusion of extra information about the random variable; for instance, unimodality and continuity, as well as the construction of corresponding worst/best-case distributions in a simple way.

Suggested Citation

  • Robert Howley & Robert Storer & Juan Vera & Luis F. Zuluaga, 2016. "Computing semiparametric bounds on the expected payments of insurance instruments via column generation," Papers 1601.02149, arXiv.org.
    • Handle: RePEc:arx:papers:1601.02149
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    References listed on IDEAS

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