The Dynamic Interplay of Consumption and Wealth: A Systems Analysis of Horizon-Specific Effects on Chinese Stock Returns

This paper investigates the predictability of stock returns in the Chinese market through the lens of consumption–wealth dynamics within a broader financial system. We focus on two key state variables derived from modern consumption-based asset pricing models: the ratio of log surplus consumption (scr), from the habit-formation framework, and the log consumption–wealth ratio (cay), from the long-run cointegration framework. Using quarterly data from the CSI 300 index between 2012Q1 and 2018Q4, our system-based analysis reveals a horizon-dependent pattern of predictability. The results show that scr is a strong short-term predictor of excess stock returns, reflecting cyclical changes in risk aversion, whereas cay demonstrates superior predictive power over mid- to long-term horizons, consistent with its role as a proxy for long-run expectations. Interestingly, combining scr and cay does not improve predictive performance, suggesting that the economic mechanisms they capture are distinct rather than complementary in the Chinese market. These findings provide evidence on how interconnected macro-financial variables shape stock return dynamics, highlighting the importance of considering temporal horizons when modeling financial systems.

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Publication Details

Journal
Systems
Published
2025-11-25
DOI
https://doi.org/10.3390/systems13121066
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

The Dynamic Interplay of Consumption and Wealth: A Systems Analysis of Horizon-Specific Effects on Chinese Stock Returns

Ali Hashemizadeh, Faezeh Zareian Baghdad Abadi, Weili Liu
Systems
Complex Systems and Time Series Analysis
article

The Dynamic Interplay of Consumption and Wealth: A Systems Analysis of Horizon-Specific Effects on Chinese Stock Returns

Ali Hashemizadeh, Faezeh Zareian Baghdad Abadi, Weili Liu
article en

Abstract

This paper investigates the predictability of stock returns in the Chinese market through the lens of consumption–wealth dynamics within a broader financial system. We focus on two key state variables derived from modern consumption-based asset pricing models: the ratio of log surplus consumption (scr), from the habit-formation framework, and the log consumption–wealth ratio (cay), from the long-run cointegration framework. Using quarterly data from the CSI 300 index between 2012Q1 and 2018Q4, our system-based analysis reveals a horizon-dependent pattern of predictability. The results show that scr is a strong short-term predictor of excess stock returns, reflecting cyclical changes in risk aversion, whereas cay demonstrates superior predictive power over mid- to long-term horizons, consistent with its role as a proxy for long-run expectations. Interestingly, combining scr and cay does not improve predictive performance, suggesting that the economic mechanisms they capture are distinct rather than complementary in the Chinese market. These findings provide evidence on how interconnected macro-financial variables shape stock return dynamics, highlighting the importance of considering temporal horizons when modeling financial systems.

SystemsVol. 13(12)
Shenzhen University (CN)
Openalex Percentile: Top 56%
Complex Systems and Time Series Analysis
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The Dynamic Interplay of Consumption and Wealth: A Systems Analysis of Horizon-Specific Effects on Chinese Stock Returns — Ali Hashemizadeh, Faezeh Zareian Baghdad Abadi, et al. · Systems (2025) | TGRS Research Map | TGRS