Türkiye | Tracking Sectoral GDP with Big Data and Nowcasting Models
Published on Friday, April 25, 2025
Big Data techniques used
Türkiye | Tracking Sectoral GDP with Big Data and Nowcasting Models
Summary
We develop big data-based, high-frequency sectoral indicators using bank transaction data to nowcast real-time sectoral GDP growth, enhancing accuracy through modeling techniques and strong alignment with official statistics.
Key points
- Key points:
- We have started to produce big data supply indicators to monitor real time economic activity in sectoral detail with high frequency and granular data through turnover transactions of Garanti BBVA customers.
- We also integrate our big data sectorial indicators in nowcasting models together with other relevant high frequency data in order to enhance the accuracy of our analysis on sectoral economic activity.
- In backtests using our full sample, our nowcasts for the industry and services sectors show relatively stronger performance, while the construction sector exhibits greater volatility.
- Since industry and services account for approximately 80% of non-agricultural output, our aggregated GDP nowcast closely mirrors official data, offering a robust early signal.
- Given the high frequency data so far, we nowcast nearly 3% y/y non-agricultural GDP growth for 1Q25, with services making a notably strong contribution.
Geographies
- Geography Tags
- Türkiye
Topics
- Topic Tags
- Macroeconomic Analysis
Authors
Ali Batuhan Barlas
BBVA Research - Principal Economist
Documents and files
Presentation (PDF)
Tracking Sectoral GDP with Big Data and Nowcasting Models
English - April 25, 2025