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Solutions Manual for Actuarial Mathematics for Life Contingent Risks

Author

Listed:
  • Dickson,David C. M.
  • Hardy,Mary R.
  • Waters,Howard R.

Abstract

This must-have manual provides detailed solutions to all of the 300 exercises in Dickson, Hardy and Waters' Actuarial Mathematics for Life Contingent Risks, 3 edition. This groundbreaking text on the modern mathematics of life insurance is required reading for the Society of Actuaries' (SOA) LTAM Exam. The new edition treats a wide range of newer insurance contracts such as critical illness and long-term care insurance; pension valuation material has been expanded; and two new chapters have been added on developing models from mortality data and on changing mortality. Beyond professional examinations, the textbook and solutions manual offer readers the opportunity to develop insight and understanding through guided hands-on work, and also offer practical advice for solving problems using straightforward, intuitive numerical methods. Companion Excel spreadsheets illustrating these techniques are available for free download.

Suggested Citation

  • Dickson,David C. M. & Hardy,Mary R. & Waters,Howard R., 2020. "Solutions Manual for Actuarial Mathematics for Life Contingent Risks," Cambridge Books, Cambridge University Press, number 9781108747615, January.
    • Handle: RePEc:cup:cbooks:9781108747615
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    Citations

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    Cited by:

    1. Lautier, Jackson P. & Pozdnyakov, Vladimir & Yan, Jun, 2023. "Pricing time-to-event contingent cash flows: A discrete-time survival analysis approach," Insurance: Mathematics and Economics, Elsevier, vol. 110(C), pages 53-71.
    2. Kung, Ko-Lun & Hsieh, Ming-Hua & Peng, Jin-Lung & Tsai, Chenghsien Jason & Wang, Jennifer L., 2021. "Explaining the risk premiums of life settlements," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    3. Jackson P. Lautier & Vladimir Pozdnyakov & Jun Yan, 2022. "Pricing Time-to-Event Contingent Cash Flows: A Discrete-Time Survival Analysis Approach," Papers 2201.04981, arXiv.org, revised Jan 2023.
    4. Zoe Gibbs & Chris Groendyke & Brian Hartman & Robert Richardson, 2020. "Modeling County-Level Spatio-Temporal Mortality Rates Using Dynamic Linear Models," Risks, MDPI, vol. 8(4), pages 1-15, November.
    5. Deresa, N.W. & Van Keilegom, I. & Antonio, K., 2022. "Copula-based inference for bivariate survival data with left truncation and dependent censoring," Insurance: Mathematics and Economics, Elsevier, vol. 107(C), pages 1-21.
    6. Rajeev Rajaram & Nathan Ritchey, 2023. "Simultaneous Exact Controllability of Mean and Variance of an Insurance Policy," Mathematics, MDPI, vol. 11(15), pages 1-16, July.
    7. Rajeev Rajaram & Nathan Ritchey, 2021. "Hattendorff Differential Equation for Multi-State Markov Insurance Models," Risks, MDPI, vol. 9(9), pages 1-19, September.

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