2006
DOI: 10.1111/j.1539-6975.2006.00194.x
|View full text |Cite
|
Sign up to set email alerts
|

Killing the Law of Large Numbers: Mortality Risk Premiums and the Sharpe Ratio

Abstract: We provide an overview of how the law of large numbers breaks down when pricing life-contingent claims under stochastic as opposed to deterministic mortality (probability, hazard) rates. In a stylized situation, we derive the limiting per-policy risk and show that it goes to a non-zero constant. This is in contrast to the classical situation when the underlying mortality decrements are known with certainty, per policy risk goes to zero. We decompose the standard deviation per policy into systematic and non-sys… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
48
0

Year Published

2008
2008
2020
2020

Publication Types

Select...
4
3
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 70 publications
(51 citation statements)
references
References 20 publications
3
48
0
Order By: Relevance
“…Results differ from one approach to the other, but the standard formula and VaR approaches produce values that are quite similar to 0.25 usually suggested in the literature (see e.g. Milevsky et al [21] and Loeys et al [19]). …”
Section: Q-forward Pricingsupporting
confidence: 66%
See 1 more Smart Citation
“…Results differ from one approach to the other, but the standard formula and VaR approaches produce values that are quite similar to 0.25 usually suggested in the literature (see e.g. Milevsky et al [21] and Loeys et al [19]). …”
Section: Q-forward Pricingsupporting
confidence: 66%
“…It distorts the distribution of the projected death probability to generate risk-adjusted death probabilities that can be discounted at risk-free interest rates (e.g., see Lin and Cox [18]). The last one applies the Sharpe ratio rule assuming that the risk premium required by investors to take on longevity risk is equal to the Sharpe ratio for other undiversifiable financial instruments (e.g., see Milevsky et al [21]). In this paper we adopt the risk-neutral approach.…”
Section: S-forwards: Definition and Notationmentioning
confidence: 99%
“…This solution has been originally proposed by Brennan and Schwartz [5,6], and then applied several times, in particular in the literature on variables annuities, see e.g. [1], [4], [14] or [15]. However, it seems to ignore the fact that playing with the law of large numbers on the diversifiable part of the risk requires selling a large number of contracts, and therefore may lead to huge positions on the financial market.…”
Section: Introductionmentioning
confidence: 99%
“…Few, if any, have focused on the actual equilibrium compensation for this risk. Milevsky, Promislow, and Young (2006) provided some simple discrete-time examples, while Denuit and Dhaene (2007) used comonotonic methods to analyze this risk. A practitioneroriented paper by Smith, Moran, and Walczak (2003) used financial techniques to justify the valuing of mortality risk, although their approach is quite different from ours.…”
Section: Introductionmentioning
confidence: 99%