---
title: Predicting Output Trends in China
url: https://www.ml-quant.com/papers/repec/eee-pacfin-v-84-y-2024-i-c-s0927538x24000763/
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:eee:pacfin:v:84:y:2024:i:c:s0927538x24000763
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0927538X24000763%3Bh%3Drepec%3Aeee%3Apacfin%3Av%3A84%3Ay%3A2024%3Ai%3Ac%3As0927538x24000763
featured: 2024-04-17
citations: unknown
topic: Risk, Credit & Banking
---


# Predicting Output Trends in China

Machine learning study on Chinese data from 1993-2016 reveals credit is a better output predictor than money, but its effectiveness has lessened post-2007 due to financial development.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0927538X24000763%3Bh%3Drepec%3Aeee%3Apacfin%3Av%3A84%3Ay%3A2024%3Ai%3Ac%3As0927538x24000763
- Identifier: RePEc:eee:pacfin:v:84:y:2024:i:c:s0927538x24000763
- Released: 2024-04-17
- First featured: Quant Letter No. 45 (2024-04-17): https://www.ml-quant.com/issues/2024-04-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

## Related

- [Measuring Bank Complexity Using Xai](https://www.ml-quant.com/papers/ssrn/4785689/): A machine learning technique shows a link between the complexity and opacity of banks, with complex firms seeing decreased trading activity.
- [Transforming Credit Guarantee Schemes with Distributed Ledger Technology](https://www.ml-quant.com/papers/arxiv/2404.19555/): The paper suggests using blockchain in Credit Guarantee Schemes to improve their performance and efficiency.
- [A Markov approach to credit rating migration conditional on economic states](https://www.ml-quant.com/papers/arxiv/2403.14868/): A novel credit rating migration model has been developed, incorporating economic state changes and utilizing Markov theory for various rating philosophies analysis.
- [A Study of Machine Learning Techniques for Predictive Analysis of Health Insurance](https://www.ml-quant.com/papers/ssrn/4817382/): The article discusses the use of machine learning in health insurance for anomaly detection and predictive modeling, emphasizing the effectiveness of decision tree regression and random forest regressor.
- [Optimal Nonparametric Estimation of the Expected Shortfall Risk](https://www.ml-quant.com/papers/arxiv/2405.00357/): The research suggests a new method for estimating the potential risk of financial loss using limited data, which is resilient and provides superior statistical properties, surpassing traditional estimators in various loss distributions.
- [On joint marginal expected shortfall and associated contribution risk measures](https://www.ml-quant.com/papers/arxiv/2405.07549/): The paper introduces a new systemic risk measure, the joint marginal expected shortfall (JMES), to assess the impact of one entity's risk on another or overall risk, and compares its effectiveness with other popular measures.