Increasing Risk in the Presence of Correlated Background Risk

This work develops a partial ordering of risks in the presence of a correlated background risk, which is parallel to the structure of [Ekern, S (1980). Increasing [Formula: see text]th degree risk. Economic Letters, 6, 329–333]’s risk increase. We introduce the notion of truncation expectation dependence to measure the primary risk’s dependence on the background risk. We provide its integral characterization of distribution functions. Within a bivariate expected utility framework, we show an equivalence between the sign of cross-derivatives of the utility function with the preference toward truncation expectation dependence. This choice-theoretic foundation is helpful for studying some economic and financial decisions with background risks, e.g., optimal portfolio, precautionary effort.

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Publication Details

Journal
Asia Pacific Journal of Operational Research
Published
2026-04-17
DOI
https://doi.org/10.1142/s0217595926400051
Primary Topic
Risk and Portfolio Optimization
Type
article
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article

Increasing Risk in the Presence of Correlated Background Risk

Minghua Dong, Shaolin Wang, Hongxia Wang
Asia Pacific Journal of Operational Research
Risk and Portfolio Optimization
article

Increasing Risk in the Presence of Correlated Background Risk

Minghua Dong, Shaolin Wang, Hongxia Wang
article en

Abstract

This work develops a partial ordering of risks in the presence of a correlated background risk, which is parallel to the structure of [Ekern, S (1980). Increasing [Formula: see text]th degree risk. Economic Letters, 6, 329–333]’s risk increase. We introduce the notion of truncation expectation dependence to measure the primary risk’s dependence on the background risk. We provide its integral characterization of distribution functions. Within a bivariate expected utility framework, we show an equivalence between the sign of cross-derivatives of the utility function with the preference toward truncation expectation dependence. This choice-theoretic foundation is helpful for studying some economic and financial decisions with background risks, e.g., optimal portfolio, precautionary effort.

Asia Pacific Journal of Operational Research
Nanjing University of Finance and Economics (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 24%
Risk and Portfolio Optimization
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Increasing Risk in the Presence of Correlated Background Risk — Minghua Dong, Shaolin Wang, et al. · Asia Pacific Journal of Operational Research (2026) | TGRS Research Map | TGRS