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Research PaperResearchia:202607.30025

Forcing and duality-corrected contracts for volatility control

Alessandro Chiusolo

Abstract

In this paper, we revisit the construction of optimal incentives in continuous-time principal-agent problems with drift and volatility control. Originally, a general approach relying on dynamic programming and second-order backward stochastic differential equations (2BSDEs) was developed by Cvitanić, Possamaï, and Touzi (2018) [8] to determine the optimal form of contracts in this setting. More recently, Chiusolo and Hubert (2026) [5] proposed a BSDE-based approach by introducing an alternative ...

Submitted: July 30, 2026Subjects: Mathematics; Mathematics

Description / Details

In this paper, we revisit the construction of optimal incentives in continuous-time principal-agent problems with drift and volatility control. Originally, a general approach relying on dynamic programming and second-order backward stochastic differential equations (2BSDEs) was developed by Cvitanić, Possamaï, and Touzi (2018) [8] to determine the optimal form of contracts in this setting. More recently, Chiusolo and Hubert (2026) [5] proposed a BSDE-based approach by introducing an alternative `contractible-volatility' problem for the principal. In addition to the proposed new method, this work highlights that the optimality result of [8] actually hinges on an assumption, stated below as Assumption 2.3, which may not hold in general. Motivated by this, we introduce in this paper a more general class of contracts, parametrised by a function ψψ subject to conditions that make the contract revealing for the agent and without loss of generality for the principal. We further provide two natural specifications of ψψ: one, inspired by the BSDE approach, yielding a forcing-type contract; the other, motivated by the 2BSDE approach, correcting the duality gap when Assumption 2.3 is not satisfied.


Source: arXiv:2607.27039v1 - http://arxiv.org/abs/2607.27039v1 PDF: https://arxiv.org/pdf/2607.27039v1 Original Link: http://arxiv.org/abs/2607.27039v1

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Date:
Jul 30, 2026
Topic:
Mathematics
Area:
Mathematics
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