---
title: Forecasting Oil Prices with VRP and Google Data
url: https://www.ml-quant.com/papers/ssrn/4534884/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4534884
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4534884
featured: 2023-08-09
citations: unknown
topic: Econometrics & Forecasting
---


# Forecasting Oil Prices with VRP and Google Data

The paper suggests that incorporating variance risk premium and Google search data into models improves real oil price forecasts, with penalized regressions providing the best results.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4534884
- Identifier: SSRN 4534884
- Released: 2023-08-08
- First featured: Quant Letter No. 11 (2023-08-09): https://www.ml-quant.com/issues/2023-08-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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