Calibration of risk aversion to real pension asset allocation

We introduce a method to infer an investor's risk aversion based on the observed asset allocation of their pension savings. By assuming the actual allocation is optimal under a constant relative risk aversion (CRRA) utility, we invert Merton's optimal investment formulas to estimate the risk aversion parameter. The approach incorporates the present value of future premiums, resulting in strategies that align with life-cycle pension products. To ensure stability, we develop a customized risky fund matched with the investor's allocation, enabling reliable calibration across various asset classes. A numerical study on a Danish pension portfolio demonstrates the practical use. The findings show realistic and stable risk aversion levels consistent with the CRRA assumption and offer a tool to better understand and benchmark the implicit preferences embedded in pension product design.

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Publication Details

Journal
Quantitative Finance
Published
2025-09-25
DOI
https://doi.org/10.1080/14697688.2025.2554160
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
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article

Calibration of risk aversion to real pension asset allocation

Mogens Steffensen, Debbie Kusch Falden, Jens-Philip Dehn-Toftehøj
Quantitative Finance
Insurance, Mortality, Demography, Risk Management
article

Calibration of risk aversion to real pension asset allocation

Mogens Steffensen, Debbie Kusch Falden, Jens-Philip Dehn-Toftehøj
article en

Abstract

We introduce a method to infer an investor's risk aversion based on the observed asset allocation of their pension savings. By assuming the actual allocation is optimal under a constant relative risk aversion (CRRA) utility, we invert Merton's optimal investment formulas to estimate the risk aversion parameter. The approach incorporates the present value of future premiums, resulting in strategies that align with life-cycle pension products. To ensure stability, we develop a customized risky fund matched with the investor's allocation, enabling reliable calibration across various asset classes. A numerical study on a Danish pension portfolio demonstrates the practical use. The findings show realistic and stable risk aversion levels consistent with the CRRA assumption and offer a tool to better understand and benchmark the implicit preferences embedded in pension product design.

Quantitative FinanceVol. 25(10)
University of Copenhagen (DK), University of Liverpool (GB), Sasol (Germany) (DE)
Openalex Percentile: Top 54%
Insurance, Mortality, Demography, Risk Management
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