---
title: Nowcasting GDP with Payments
url: https://www.ml-quant.com/papers/ssrn/4956446/
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 4956446
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4956446
featured: 2024-09-18
citations: unknown
topic: Macro-Finance & Rates
---


# Nowcasting GDP with Payments

The study uses high frequency payment systems data to predict Nigeria's GDP, finding the Mixed Frequency VAR model to be the most precise, with promising results also from the Mixed Data Sampling models combined with principal component analysis.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4956446
- Identifier: SSRN 4956446
- Released: 2024-06-26
- First featured: Quant Letter No. 66 (2024-09-18): https://www.ml-quant.com/issues/2024-09-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Macro-Finance & Rates

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