The Measurement and Characteristics of China's Financial Cycle and its Application of “Early Warning”

Starting from the interaction between the US real estate market and credit supply before and after the subprime crisis, this paper analyzes the fluctuation characteristics of GDP and CPI in the US from 1995 to 2022, and finds that excessive prosperity of financial factors will lead to macroeconomic recession. Similarly, this paper analyzes the fluctuation characteristics of China's GDP and CPI in the same period, and also finds that financial factors are particularly important for preventing systemic financial risks and maintaining macroeconomic stability. In order to comprehensively measure the financial situation in a period of time, this paper measures China's financial cycle based on financial factors. It is found that China's financial cycle has the following characteristics: first, the average length is 11 to 15 quarters, which is longer than the business cycle, and the amplitude is larger, but the absolute value is smaller than that of European and American countries; second, the length and amplitude depend on the policy stage and are closely related to the macroeconomic operation; third, although there is a certain asymmetry in the fluctuation, but it is not obvious, which is different from European and American countries to some extent. In addition, this paper finds that the financial cycle has a strong “early warning” effect on macroeconomic operation, and as a threshold variable, it can “capture” the vast majority of macroeconomic fluctuations after the Asian financial crisis to the COVID-19 epidemic in China, and has strong macro-control application value.

Authors

Institutions

Publication Details

Journal
经济学报.
Published
2024-12-01
DOI
https://doi.org/10.26599/cje.2024.9300404
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Measurement and Characteristics of China's Financial Cycle and its Application of “Early Warning”

Sanchuan Wang, Fan Conglai
经济学报.
Advanced Technologies in Various Fields
article

The Measurement and Characteristics of China's Financial Cycle and its Application of “Early Warning”

Sanchuan Wang, Fan Conglai
article en

Abstract

Starting from the interaction between the US real estate market and credit supply before and after the subprime crisis, this paper analyzes the fluctuation characteristics of GDP and CPI in the US from 1995 to 2022, and finds that excessive prosperity of financial factors will lead to macroeconomic recession. Similarly, this paper analyzes the fluctuation characteristics of China's GDP and CPI in the same period, and also finds that financial factors are particularly important for preventing systemic financial risks and maintaining macroeconomic stability. In order to comprehensively measure the financial situation in a period of time, this paper measures China's financial cycle based on financial factors. It is found that China's financial cycle has the following characteristics: first, the average length is 11 to 15 quarters, which is longer than the business cycle, and the amplitude is larger, but the absolute value is smaller than that of European and American countries; second, the length and amplitude depend on the policy stage and are closely related to the macroeconomic operation; third, although there is a certain asymmetry in the fluctuation, but it is not obvious, which is different from European and American countries to some extent. In addition, this paper finds that the financial cycle has a strong “early warning” effect on macroeconomic operation, and as a threshold variable, it can “capture” the vast majority of macroeconomic fluctuations after the Asian financial crisis to the COVID-19 epidemic in China, and has strong macro-control application value.

经济学报.Vol. 11(4)
Yangtze River Delta Physics Research Center (China) (CN), Shanghai Dianji University (CN)
Openalex Percentile: Top 70%
Advanced Technologies in Various Fields
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Measurement and Characteristics of China's Financial Cycle and its Application of “Early Warning” — Sanchuan Wang, Fan Conglai · 经济学报. (2024) | TGRS Research Map | TGRS