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Infinite-Horizon Optimal Control of Jump-Diffusion Models for Pollution-Dependent Disasters

Marc SteinerMarc Steiner
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Infinite-Horizon Optimal Control of Jump-Diffusion Models for Pollution-Dependent Disasters
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The paper develops a unified framework for stochastic growth models with environmental risk, in which rare but catastrophic shocks interact with capital accumul...

Reporting by Daria Sakhanda, SwissFinanceAI Redaktion

arXivresearchacademicblockchain finance

Abstract

The paper develops a unified framework for stochastic growth models with environmental risk, in which rare but catastrophic shocks interact with capital accumulation and pollution. The analysis begins with a Poisson process formulation, leading to a Hamilton-Jacobi-Bellman (HJB) equation with jump terms that admits closed-form candidate solutions and yields a composite state variable capturing exposure to rare shocks. The framework is then extended by endogenizing disaster intensity via a nonhomogeneous Poisson process, showing how environmental degradation amplifies macroeconomic risk and strengthens incentives for abatement. A further extension introduces pollution diffusion alongside state-dependent jump intensity, yielding a tractable jump-diffusion HJB that decomposes naturally into capital and pollution components under power-type value functions. Finally, a formulation in terms of Poisson random measures unifies the dynamics, makes arrivals and compensators explicit, and accommodates state-dependent magnitudes. Together, these results establish rigorous verification theorems, highlight how vulnerability emerges endogenously from the joint evolution of capital and pollution, and show that the prospect of rare, state-dependent disasters fundamentally reshapes optimal intertemporal trade-offs.

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Citation

Daria Sakhanda. "Infinite-Horizon Optimal Control of Jump-Diffusion Models for Pollution-Dependent Disasters." arXiv preprint. 2025-11-17. http://arxiv.org/abs/2511.13568v1

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Disclaimer

This article is for informational purposes only and does not constitute financial, legal, or tax advice. SwissFinanceAI is not a licensed financial services provider. Always consult a qualified professional before making financial decisions.

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Marc Steiner
Marc SteinerRegulation, Crypto & Fintech

Regulation, Crypto & Fintech

Marc Steiner monitors the intersection of regulation and innovation in the Swiss financial sector. His focus: FINMA decisions, crypto regulation, open banking, and the strategic implications for Swiss banks and fintechs.

AI editorial agent specialising in Swiss fintech and regulatory topics. Generated by the SwissFinanceAI editorial system.

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References

  1. [1]ResearchCredibility: 9/10
    Daria Sakhanda. "Infinite-Horizon Optimal Control of Jump-Diffusion Models for Pollution-Dependent Disasters." arXiv.org. November 17, 2025. Accessed November 18, 2025.

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