CLASSICAL AND IMPULSE STOCHASTIC CONTROL FOR THE OPTIMIZATION OF THE DIVIDEND AND RISK POLICIES OF AN INSURANCE FIRM

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

104 Scopus Citations
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Author(s)

  • Abel Cadenillas
  • Tahir Choulli
  • Michael Taksar
  • Lei Zhang

Detail(s)

Original languageEnglish
Pages (from-to)181-202
Journal / PublicationMathematical Finance
Volume16
Issue number1
Online published4 Jan 2006
Publication statusPublished - Jan 2006
Externally publishedYes

Abstract

This paper deals with the dividend optimization problem for a financial or an insurance entity which can control its business activities, simultaneously reducing the risk and potential profits. It also controls the timing and the amount of dividends paid out to the shareholders. The objective of the corporation is to maximize the expected total discounted dividends paid out until the time of bankruptcy. Due to the presence of a fixed transaction cost, the resulting mathematical problem becomes a mixed classical-impulse stochastic control problem. The analytical part of the solution to this problem is reduced to quasivariational inequalities for a second-order nonlinear differential equation. We solve this problem explicitly and construct the value function together with the optimal policy. We also compute the expected time between dividend payments under the optimal policy.

Research Area(s)

  • dividends, risk, quasi-variational inequalities, classical-impulse stochastic controls

Citation Format(s)

CLASSICAL AND IMPULSE STOCHASTIC CONTROL FOR THE OPTIMIZATION OF THE DIVIDEND AND RISK POLICIES OF AN INSURANCE FIRM. / Cadenillas, Abel; Choulli, Tahir; Taksar, Michael et al.
In: Mathematical Finance, Vol. 16, No. 1, 01.2006, p. 181-202.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review