Empirical analysis of the correlation between China’s Macroeconomic Market and Crude Oil Market based on mixed-frequency group factor model
Jiaxin Zhao, Junping Yin
TL;DR
This paper analyzes how China's macroeconomic market interacts with global crude oil prices using a new statistical model to handle data frequency differences.
Contribution
The paper introduces a mixed-frequency group factor model to study asymmetric correlations between China’s macroeconomic and crude oil markets.
Findings
The two markets show strong asymmetric influence and time-varying correlation.
Crude oil has a significant impact on China’s macroeconomic stability.
China’s macroeconomic conditions have limited effect on global oil pricing.
Abstract
This paper examines the asymmetric correlation and dynamic interaction between China’s macroeconomic market and the global crude oil market, addressing a critical limitation in existing literature: the frequency mismatch between high-frequency (daily) crude oil data and low-frequency (monthly) macroeconomic data. To resolve this, we employ a mixed-frequency group factor model that decomposes volatility drivers into two mutually exclusive components: (1) common factors, which capture cross-market spillovers between the two markets; and (2) group-specific factors, including low-frequency (LF)-specific factors (for China’s macroeconomic indicators) and high-frequency (HF)-specific factors (for crude oil prices). Our empirical analysis uses a comprehensive dataset spanning January 2005 to March 2024, covering 11 daily crude oil price indicators and 60 monthly Chinese macroeconomic…
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Taxonomy
TopicsMarket Dynamics and Volatility · Global Energy Security and Policy · Financial Risk and Volatility Modeling