Skip to main content
Log in

Risk Sensitive Control of the Lifetime Ruin Problem

  • Published:
Applied Mathematics & Optimization Submit manuscript

Abstract

We study a risk sensitive control version of the lifetime ruin probability problem. We consider a sequence of investments problems in Black–Scholes market that includes a risky asset and a riskless asset. We present a differential game that governs the limit behavior. We solve it explicitly and use it in order to find an asymptotically optimal policy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Although we are not using explicitly large deviation arguments in the paper, for intuition reasons we still choose to define the cost by using the rate function instead of simply using only \(\tfrac{1}{2}\int _0^t\dot{\psi }^2(s)ds.\)

  2. We use the convention that \(\inf \emptyset =\infty .\) Also, hereafter, in case that \(b=\infty \) then by the notation \((x,\,b]\) and \([x,\,b]\) mean \((x,\,\infty )\) and \([x,\,\infty ),\) respectively.

References

  1. Atar, R., Biswas, A.: Control of the multiclass G/G/1 queue in the moderate deviation regime. Ann. Appl. Probab. 424(5), 2033–2069 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  2. Atar, R., Cohen, A.: An asymptotically optimal control for a multiclass queueing model in the moderate-deviation heavy-traffic regime (preprint, 2015a)

  3. Atar, R., Cohen, A.: A differential game for a multiclass queueing model in the moderate-deviation heavy-traffic regime (preprint, 2015b)

  4. Bayraktar, E., Young, V.R.: Correspondence between lifetime minimum wealth and utility of consumption. Finance Stoch. 11(2), 213–236 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bayraktar, E., Young, V.R.: Minimizing the probability of lifetime ruin under borrowing constraints. Insur. Math. Econ. 41(1), 196–221 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  6. Bayraktar, E., Young, V.R.: Optimal investment strategy to minimize occupation time. Ann. Oper. Res. 176(1), 389–408 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bayraktar, E., Young, V.R.: Proving regularity of the minimal probability of ruin via a game of stopping and control. Finance Stoch. 15(4), 785–818 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  8. Bayraktar, E., Zhang, Y.: Minimizing the probability of lifetime ruin under ambiguity aversion. SIAM J. Control Optim. 53(1), 58–90 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  9. Browne, S.: Survival and growth with a liability: optimal portfolio strategies in continuous time. Math. Oper. Res. 22(2), 468–493 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  10. Browne, S.: Beating a moving target: optimal portfolio strategies for outperforming a stochastic benchmark. Finance Stoch. 3(3), 275–294 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  11. Browne, S.: Reaching goals by a deadline: digital options and continuous-time active portfolio management. Adv. Appl. Probab. 31(2), 551–577 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  12. Dembo, A., Zeitouni, O.: Large Deviations Techniques and Applications. Applications of Mathematics (New York), vol. 38, 2nd edn. Springer, New York (1998)

  13. Dubins, L.E., Savage, L.J.: How to Gamble If You Must: Inequalities for Stochastic Processes. McGraw-Hill Series in Probability and Statistics. McGraw-Hill, New York (1965)

    MATH  Google Scholar 

  14. Dupuis, P., Kushner, H.: Minimizing escape probabilities: a large deviations approach. SIAM J. Control Optim. 27(2), 432–445 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  15. Fleming, W.H.: Risk sensitive stochastic control and differential games. Commun. Inf. Syst. 6(3), 161–177 (2006)

    MathSciNet  MATH  Google Scholar 

  16. Fleming, W.H., McEneaney, W.M.: Risk-sensitive control on an infinite time horizon. SIAM J. Control Optim. 33(6), 1881–1915 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  17. Fleming, W.H., Soner, H.M.: Controlled Markov Processes and Viscosity Solutions. Stochastic Modelling and Applied Probability. Springer, New York (2006)

    MATH  Google Scholar 

  18. Karatzas, I.: Adaptive control of a diffusion to a goal, and a parabolic MongeAmpere-type equation. Asian J. Math. 1, 295–313 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  19. Kulldorff, M.: Optimal control of favorable games with a time limit. SIAM J. Control Optim. 31(1), 52–69 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  20. Milevsky, M.A., Robinson, C.: Self-annuitization and ruin in retirement. N. Am. Actuar. J. 4(4), 112–124 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  21. Orey, S., Pestien, V.C., Sudderth, W.D.: Reaching zero rapidly. SIAM J. Control Optim. 25(5), 1253–1265 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  22. Pestien, V.C., Sudderth, W.D.: Continuous-time red and black: how to control a diffusion to a goal. Math. Oper. Res. 10(4), 599–611 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  23. Pham, H.: Some applications and methods of large deviations in finance and insurance. In: Paris–Princeton Lectures on Mathematical Finance 2004. Lecture Notes in Mathematics, vol. 1919, pp. 191–244. Springer, Berlin (2007)

  24. Poznyak, A.: Advanced Mathematical Tools for Control Engineers: Volume 1: Deterministic Techniques. Elsevier Science, Amsterdam (2009)

    Google Scholar 

  25. Sudderth, W.D., Weerasinghe, A.: Controlling a process to a goal in finite time. Math. Oper. Res. 14(3), 400–409 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  26. Yener, H.: Minimizing the lifetime ruin under borrowing and short-selling constraints. Scand. Actuar. J. 2014(6), 535–560 (2014)

    Article  MathSciNet  Google Scholar 

  27. Young, V.R.: Optimal investment strategy to minimize the probability of lifetime ruin. N. Am. Actuar. J. 8(4), 106–126 (2004)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

We thank the two anonymous referees, the AE and Huyên Pham for insightful comments, which helped us improve our paper. We are also grateful to Virginia Young for many discussions that we had on the subject. This research is supported in part by the National Science Foundation through the DMS-1613170 Grant.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Erhan Bayraktar.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bayraktar, E., Cohen, A. Risk Sensitive Control of the Lifetime Ruin Problem. Appl Math Optim 77, 229–252 (2018). https://doi.org/10.1007/s00245-016-9372-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00245-016-9372-2

Keywords

Navigation