Representation of forward performance criteria with random endowment via FBSDE and its application to forward optimized certainty equivalent
Gechun Liang, Yifan Sun, Thaleia Zariphopoulou

TL;DR
This paper extends forward performance criteria to incomplete markets with random endowment, introducing the novel forward OCE concept and developing new FBSDE-based methods for dynamic valuation and optimal control analysis.
Contribution
It introduces the forward OCE, a new dynamic valuation tool, and develops FBSDE systems for analyzing stochastic optimization problems in this context.
Findings
Derived necessary and sufficient conditions for optimality.
Established equivalences between primal and dual problems.
Explored connections between forward OCE and entropic risk measures.
Abstract
We extend the notion of forward performance criteria to settings with random endowment in incomplete markets. Building on these results, we introduce and develop the novel concept of \textit{forward optimized certainty equivalent (forward OCE)}, which offers a genuinely dynamic valuation mechanism that accommodates progressively adaptive market model updates, stochastic risk preferences, and incoming claims with arbitrary maturities. In parallel, we develop a new methodology to analyze the emerging stochastic optimization problems by directly studying the candidate optimal control processes for both the primal and dual problems. Specifically, we derive two new systems of forward-backward stochastic differential equations (FBSDEs) and establish necessary and sufficient conditions for optimality, and various equivalences between the two problems. This new approach is general and…
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Taxonomy
TopicsClimate Change Policy and Economics · Capital Investment and Risk Analysis · Risk and Portfolio Optimization
