Indian Refiner Crude Oil Hedging Data with Regime Classifiers, 2010-2025

Indian refiners' crude oil hedging data from January 2010 to December 2025, priced in rupees. The dataset supports replication of a research paper's empirical results, including forecast-accuracy tests, Markov-switching regime classifiers, and a nine-policy hedging backtest. It was authored by Adesh Mishra and archived on Harvard Dataverse in June 2026.

Use Cases

• Conducting forecast-accuracy horse-race and Diebold-Mariano tests based on the described empirical results.
• Implementing Markov-switching regime classifiers (K=2 and K=3) based on the described classifier outputs.
• Backtesting nine different hedging policies on monthly Brent crude prices based on the described backtest engine.
• Performing bootstrap and cost-sensitivity analyses based on the described replication scripts.

Strengths

• Includes daily and monthly price panels sourced from FRED.
• Contains four self-contained reproduction scripts for verifying all empirical results.
• Covers a 15-year time range from January 2010 to December 2025.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The PPAC Indian Basket source file for basis validation is not redistributed; users must obtain it separately.

Provenance

Source

Harvard Dataverse

Collection Method

Likely compiled from FRED and other public sources for research replication.

Time Range

January 2010 - December 2025

Freshness

Last updated 2026-06-13 14:51:38

Geography

India