---
title: HighFrequency Economic Data
url: https://www.ml-quant.com/papers/ssrn/4840187/
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 4840187
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4840187
featured: 2024-05-28
citations: unknown
topic: Trading, Microstructure & Execution
---


# HighFrequency Economic Data

The article presents a Bayesian model for measuring GDP growth at high-frequency intervals, which proved effective during the COVID-19 pandemic.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4840187
- Identifier: SSRN 4840187
- Released: 2022-11-22
- First featured: Quant Letter No. 51 (2024-05-28): https://www.ml-quant.com/issues/2024-05-28/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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