---
title: HighFrequency Alternative Data for Japan's GDP Nowcasts
url: https://www.ml-quant.com/papers/repec/spr-jbuscr-v-19-y-2023-i-2-d-10-1007-s41549-023-00085-1/
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: RePEc:spr:jbuscr:v:19:y:2023:i:2:d:10.1007_s41549-023-00085-1
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs41549-023-00085-1%3Bh%3Drepec%3Aspr%3Ajbuscr%3Av%3A19%3Ay%3A2023%3Ai%3A2%3Ad%3A10.1007_s41549-023-00085-1
featured: 2023-10-18
citations: unknown
topic: Macro-Finance & Rates
---


# HighFrequency Alternative Data for Japan's GDP Nowcasts

The study reveals that credit card data can enhance the accuracy of real-time nowcasting of Japan's GDP, particularly in the early stages of forecasting when traditional data is unavailable.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs41549-023-00085-1%3Bh%3Drepec%3Aspr%3Ajbuscr%3Av%3A19%3Ay%3A2023%3Ai%3A2%3Ad%3A10.1007_s41549-023-00085-1
- Identifier: RePEc:spr:jbuscr:v:19:y:2023:i:2:d:10.1007_s41549-023-00085-1
- Released: 2023-10-18
- First featured: Quant Letter No. 22 (2023-10-18): https://www.ml-quant.com/issues/2023-10-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Macro-Finance & Rates

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