Sherris, Michael

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2006 - 200912010 - 20131
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  • Publication
    Financial Innovation for an Aging World
    (2006-08-01) Mitchell, Olivia S; Piggott, John; Sherris, Michael; Yow, Shaun
    Over the last half-century, around the world, many nations have seen plummeting fertility rates and mounting life expectancies. These two factors are the engine behind unprecedented global aging. In this paper, we explore how the demographic transition may influence financial markets and, in turn, how financial market innovation might help resolve concerns flowing from global aging trends. We first provide context by reviewing the economics, finance, and insurancerelated literature on how global aging patterns may influence capital markets. We then turn to insurance markets, and discuss a range of products and policies, including both retail and wholesale financial offerings for various forms of life annuities, long-term care benefits, reverse mortgages, securitization of longevity risk, inflation-protected assets, reinsurance, guarantees, derivative contracts on residential property price indices, mortality swaps and longevity derivative contracts. We also indicate how new public-private partnerships might be beneficial in enhancing the future environment for old-age risk management.
  • Publication
    Model Risk, Mortality Heterogeneity, and Implications for Solvency and Tail risk
    (2013-10-01) Sherris, Michael; Zhou, Qiming
    Mortality models used to assess longevity risk and retirement funding have been extended to stochastic models with trends and systematic risk. Systematic risk cannot be readily diversified in an insurance pool or pension fund. It is an important factor in assessing solvency and highlighting the tail risk in longevity insurance and pension products. Idiosyncratic risk can be diversified in typical pool sizes, although less effectively at the older ages. Mortality heterogeneity is not usually taken into account in stochastic mortality models. This is a mortality risk that reduces the effectiveness of idiosyncratic mortality risk pooling. Heterogeneity has been modeled with frailty models and more recently with Markov multiple state ageing models. This paper overviews recent developments in models for mortality heterogeneity and uses a model calibrated to both population mortality and health condition data to consider the impact of model risk and heterogeneity in assessing solvency and tail risk for longevity risk products.