---
title: Forecasting China’s Inflation Rate: Evidence from Machine Learning Methods
url: https://www.ml-quant.com/papers/ssrn/4781171/
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 4781171
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4781171
featured: 2024-04-03
citations: 1
topic: Macro-Finance & Rates
---


# Forecasting China’s Inflation Rate: Evidence from Machine Learning Methods

Eight machine learning models, notably the gradient boost decision tree and forecast combination model, excel in predicting China's inflation rate over the autoregressive benchmark.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4781171
- Identifier: SSRN 4781171
- Released: 2024-03-24
- First featured: Quant Letter No. 43 (2024-04-03): https://www.ml-quant.com/issues/2024-04-03/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Macro-Finance & Rates

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