A data-driven approach for optimal operational and financial commodity hedging

DOI10.1016/j.ejor.2024.01.026WikidataQ129308988 ScholiaQ129308988MaRDI QIDQ6586281

Christian Mandl, Moritz Rettinger, Stefan Minner

Publication date: 13 August 2024

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

decision analysismodel generalizationdata-driven optimizationcommodity procurement

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

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• The Model Confidence Set
• Inventory control in dual sourcing commodity procurement with price correlation
• The decision rule approach to optimization under uncertainty: methodology and applications
• Dual sourcing using capacity reservation and spot market: optimal procurement policy and heuristic parameter determination
• Merchant Commodity Storage Practice Revisited
• Optimal Inventory Policies when Purchase Price and Demand Are Stochastic
• An Approximate Dynamic Programming Approach to Benchmark Practice-Based Heuristics for Natural Gas Storage Valuation
• Optimal Commodity Trading with a Capacitated Storage Asset
• A General Solution for Linear Decision Rules: An Optimal Dynamic Strategy Applicable under Uncertainty
• Model Selection and the Principle of Minimum Description Length
• 10.1162/153244302760200704
• The Big Data Newsvendor: Practical Insights from Machine Learning
• Deep double descent: where bigger models and more data hurt*
• Stochastic Prices in a Single-Item Inventory Purchasing Model
• The Elements of Statistical Learning

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