Optimal Dynamic Procurement Policies for a Storable Commodity with L\'evy Prices and Convex Holding Costs
Maria B. Chiarolla, Giorgio Ferrari, Gabriele Stabile

TL;DR
This paper develops a stochastic control model for optimal procurement of a commodity with prices modeled by Lévy processes, deriving explicit policies and analyzing their performance under various cost and demand assumptions.
Contribution
It introduces a novel continuous-time stochastic control framework with Lévy price dynamics and convex costs, providing explicit optimal policies and probabilistic revenue representations.
Findings
Derived necessary and sufficient conditions for optimal procurement policies.
Obtained explicit forms of optimal policies in special cases.
Compared dynamic policies with classical static strategies numerically.
Abstract
In this paper we study a continuous time stochastic inventory model for a commodity traded in the spot market and whose supply purchase is affected by price and demand uncertainty. A firm aims at meeting a random demand of the commodity at a random time by maximizing total expected profits. We model the firm's optimal procurement problem as a singular stochastic control problem in which controls are nondecreasing processes and represent the cumulative investment made by the firm in the spot market (a so-called stochastic "monotone follower problem"). We assume a general exponential L\'evy process for the commodity's spot price, rather than the commonly used geometric Brownian motion, and general convex holding costs. We obtain necessary and sufficient first order conditions for optimality and we provide the optimal procurement policy in terms of a "base inventory" process; that is, a…
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Taxonomy
TopicsStochastic processes and financial applications · Supply Chain and Inventory Management · Advanced Queuing Theory Analysis
