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An Asset and Liability Management System for Towers Perrin-Tillinghast

Author

Listed:
  • John M. Mulvey

    (Department of Operations Research and Financial Engineering, and Bendheim Center for Finance, Princeton University, Princeton, New Jersey 08544)

  • Gordon Gould

    (Towers Perrin, 1515 Arapahoe Street, Denver, Colorado 80202-2123)

  • Clive Morgan

    (Towers Perrin, 175 Bloor Street, South Tower, Suite 1501, Toronto, Ontario M4W 3T6, Canada)

Abstract

Towers Perrin-Tillinghast employs a stochastic asset-and-liability management system for helping its pension plan and insurance clients understand the risks and opportunities related to capital market investments and other major decisions. The system has three major components: (1) a stochastic scenario generator (CAP:Link); (2) a nonlinear optimization simulation model (OPT:Link); and (3) a flexible liability- and financial-reporting module (FIN:Link). Each part improves over existing technology as compared with traditional actuarial approaches. The integrated investment system links asset risks to liabilities so that company goals are best achieved. For example, US WEST saved $450 to $1,000 million in opportunity costs in its pension plan by following the advice of the asset-and-liability system.

Suggested Citation

  • John M. Mulvey & Gordon Gould & Clive Morgan, 2000. "An Asset and Liability Management System for Towers Perrin-Tillinghast," Interfaces, INFORMS, vol. 30(1), pages 96-114, February.
    • Handle: RePEc:inm:orinte:v:30:y:2000:i:1:p:96-114
    DOI: 10.1287/inte.30.1.96.11617
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    References listed on IDEAS

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    1. David R. Cariño & Terry Kent & David H. Myers & Celine Stacy & Mike Sylvanus & Andrew L. Turner & Kouji Watanabe & William T. Ziemba, 1994. "The Russell-Yasuda Kasai Model: An Asset/Liability Model for a Japanese Insurance Company Using Multistage Stochastic Programming," Interfaces, INFORMS, vol. 24(1), pages 29-49, February.
    2. John M. Mulvey, 1996. "Generating Scenarios for the Towers Perrin Investment System," Interfaces, INFORMS, vol. 26(2), pages 1-15, April.
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    Citations

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    Cited by:

    1. Jang Ho Kim & Yongjae Lee & Woo Chang Kim & Frank J. Fabozzi, 2022. "Goal-based investing based on multi-stage robust portfolio optimization," Annals of Operations Research, Springer, vol. 313(2), pages 1141-1158, June.
    2. Streutker, Matthijs & van der Vlerk, Maarten & Klein Haneveld, Wim, 2007. "Implementation of new regulatory rules in a multistage ALM model for Dutch pension funds," Research Report 07005, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    3. John M Mulvey & Woo Chang Kim & Yi Ma, 2010. "Duration-enhancing overlay strategies for defined benefit pension plans," Journal of Asset Management, Palgrave Macmillan, vol. 11(2), pages 136-162, June.
    4. Maram Alwohaibi & Diana Roman, 2018. "ALM models based on second order stochastic dominance," Computational Management Science, Springer, vol. 15(2), pages 187-211, June.
    5. repec:dgr:rugsom:07005 is not listed on IDEAS
    6. Katharina Schwaiger & Cormac Lucas & Gautam Mitra, 2010. "Alternative decision models for liability-driven investment," Journal of Asset Management, Palgrave Macmillan, vol. 11(2), pages 178-193, June.
    7. Mulvey, John M. & Erkan, Hafize G., 2006. "Applying CVaR for decentralized risk management of financial companies," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 627-644, February.
    8. John M. Mulvey & Koray D. Simsek & Zhuojuan Zhang & Frank J. Fabozzi & William R. Pauling, 2008. "OR PRACTICE---Assisting Defined-Benefit Pension Plans," Operations Research, INFORMS, vol. 56(5), pages 1066-1078, October.
    9. Christopher Bayliss & Marti Serra & Armando Nieto & Angel A. Juan, 2020. "Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities," Risks, MDPI, vol. 8(4), pages 1-14, December.
    10. John Mulvey, 2002. "Research on alternative investments at Princeton," Quantitative Finance, Taylor & Francis Journals, vol. 2(3), pages 174-176.
    11. ManMohan S. Sodhi, 2005. "LP Modeling for Asset-Liability Management: A Survey of Choices and Simplifications," Operations Research, INFORMS, vol. 53(2), pages 181-196, April.
    12. Mitra, Sovan & Lim, Sungmook & Karathanasopoulos, Andreas, 2019. "Regression based scenario generation: Applications for performance management," Operations Research Perspectives, Elsevier, vol. 6(C).
    13. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2008. "A dynamic stochastic programming model for international portfolio management," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1501-1524, March.
    14. Sebastiano Vitali & Vittorio Moriggia, 2021. "Pension fund management with investment certificates and stochastic dominance," Annals of Operations Research, Springer, vol. 299(1), pages 273-292, April.
    15. John Board & Charles Sutcliffe, 2007. "Joined-Up Pensions Policy in the UK: An Asset-Liability Model for Simultaneously Determining the Asset Allocation and Contribution Rate," Economic Analysis, Institute of Economic Sciences, vol. 40(3-4), pages 87-118.
    16. Arthur M. Geoffrion & Ramayya Krishnan, 2001. "Prospects for Operations Research in the E-Business Era," Interfaces, INFORMS, vol. 31(2), pages 6-36, April.
    17. Moriggia, Vittorio & Kopa, Miloš & Vitali, Sebastiano, 2019. "Pension fund management with hedging derivatives, stochastic dominance and nodal contamination," Omega, Elsevier, vol. 87(C), pages 127-141.
    18. Elena Katok & William Tarantino & Terry P. Harrison, 2003. "Investment in production resource flexibility: An empirical investigation of methods for planning under uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(2), pages 105-129, March.
    19. Daniel Giamouridis & Athanasios Sakkas & Nikolaos Tessaromatis, 2017. "Dynamic Asset Allocation with Liabilities," European Financial Management, European Financial Management Association, vol. 23(2), pages 254-291, March.

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