Forecast uncertainty of non-performing loan in China

We explore the uncertainty of the non-performing loan ratio (NPLR) of banks in China. Based on one-year-ahead out-of-sample forecasts, we estimate both ex-post and ex-ante uncertainties from 2012 to 2022 using three different approaches that utilize both time-series and cross-sectional information. Ex-post uncertainty is high in 2017 due to regulatory policies and in 2022 due to the real estate crisis. Ex-ante uncertainty, on the other hand, better captures uncertainty in real time. These uncertainty estimates help policymakers by providing a practical quantification of risk and the information environment.

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Publication Details

Journal
Applied Economics Letters
Published
2026-07-23
DOI
https://doi.org/10.1080/13504851.2026.2707349
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
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Forecast uncertainty of non-performing loan in China

Fang Wang, Cheng Yang
Applied Economics Letters
Banking stability, regulation, efficiency
article

Forecast uncertainty of non-performing loan in China

Fang Wang, Cheng Yang
article en

Abstract

We explore the uncertainty of the non-performing loan ratio (NPLR) of banks in China. Based on one-year-ahead out-of-sample forecasts, we estimate both ex-post and ex-ante uncertainties from 2012 to 2022 using three different approaches that utilize both time-series and cross-sectional information. Ex-post uncertainty is high in 2017 due to regulatory policies and in 2022 due to the real estate crisis. Ex-ante uncertainty, on the other hand, better captures uncertainty in real time. These uncertainty estimates help policymakers by providing a practical quantification of risk and the information environment.

Applied Economics Letters
Liaoning University (CN)
Openalex Percentile: Top 6%
Banking stability, regulation, efficiency
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