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Construction of an Aggregate Consistent Utility, Without Pareto Optimality. Application to Long-Term Yield Curve Modeling

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Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications (BSDE-SPDE 2017)

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Abstract

The aim of this paper is to describe globally the behavior and preferences of heterogeneous agents. Our starting point is the aggregate wealth of a given economy, with a given repartition of the wealth among investors, which is not necessarily Pareto optimal. We propose a construction of an aggregate forward utility, market consistent, that aggregates the marginal utility of the heterogeneous agents. This construction is based on the aggregation of the pricing kernels of each investor. As an application we analyze the impact of the heterogeneity and of the wealth market on the yield curve.

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Notes

  1. 1.

    \(\kappa _t= \sigma _t.\kappa _t = \sigma _{t}^{T}\pi _{t}\), with \(\pi \) being the fraction of wealth invested in the risky assets, and \(\sigma \) being the volatility process, and .\(^{T}\) denotes the transpose operator.

  2. 2.

    That is \(\mathbf U\) is a \({\mathcal{K}}^{1,\delta }_{loc}\cap {{\mathcal C}}^{2}\)-semimartingale, see the Appendix and Theorem 5.1(iv).

  3. 3.

    See the Appendix for the definition of these classes of regularity.

  4. 4.

    Actually, one may choose any deterministic initial utility, as soon as it satisfies sufficient integrability conditions, as the ones required in Theorem 2.11.

  5. 5.

    That is \(\phi \) is m-times continuously differentiable with \(\phi ^{(m)}\) being \(\delta \)-Hölder.

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Acknowledgements

The authors thank the financial supports of Chaire “Risques Financiers”, of Labex Ecodec and of Labex MME-DII.

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Correspondence to Caroline Hillairet .

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El Karoui, N., Hillairet, C., Mrad, M. (2019). Construction of an Aggregate Consistent Utility, Without Pareto Optimality. Application to Long-Term Yield Curve Modeling. In: Cohen, S., Gyöngy, I., dos Reis, G., Siska, D., Szpruch, Ł. (eds) Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications. BSDE-SPDE 2017. Springer Proceedings in Mathematics & Statistics, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-030-22285-7_6

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