Risk spillovers between the financial market and macroeconomic sectors under mixed-frequency information: A frequency domain perspective

被引:0
|
作者
Li, Mengting [1 ]
Ma, Xiaofu [1 ]
Jia, Junsheng [1 ]
Zhu, Chen [1 ]
机构
[1] Nanjing Univ Finance & Econ, Sch Finance, Nanjing 210023, Peoples R China
关键词
Frequency mixing; Frequency domain; Financial market; Macroeconomic sectors; Networks; STOCK-MARKET; CONNECTEDNESS; DYNAMICS; STRESS;
D O I
10.1016/j.iref.2025.103976
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We construct the Mixed-Frequency Vector Autoregression of Frequency Domain Decomposition model, labeled as MF-VAR-FDD, to investigates the risk spillovers between financial market and the macroeconomic sectors. The MF-VAR-FDD innovatively introduces the spectral density function into the Mixed-Frequency Vector Autoregression (MF-VAR) model, providing a spectral representation of the generalized variance decomposition of the MF-VAR model. It decomposes time domain risk spillovers into high-frequency and low-frequency components, constructs the Mixed-Frequency Frequency Domain Spillover (MFFDS) index, and characterizes risk spillovers between finance and macroeconomic sectors at different frequencies from a frequency domain perspective. The research findings are as follows: First, during major crises, frequency domain risk spillover significantly intensifies, exhibiting notable time-varying characteristics. Moreover, risk spillover is mainly dominated by low-frequency spillover, while high-frequency spillover is more sensitive to crisis events, enabling more agile monitoring of market disturbances and aiding in risk prevention. Second, finance consistently represents a net risk exporter to all macroeconomic sectors, emphasizing that financial risk should remain a key focus for national regulatory authorities. Our conclusions provide additional information for the formulation of macroprudential policies.
引用
收藏
页数:20
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