The time-varying effects of digital finance and market value management on systemic financial risk: evidence from the TVP-VAR-SV approach

Systemic financial risk inherently exhibits significant time-varying and contagious characteristics, with its evolution process profoundly influenced by the dynamic interplay of digital finance development and market value management practices. Based on this, our study uses the Time-Varying Parameter Vector Autoregression with Stochastic Volatility (TVP-VAR-SV) model to examine the dynamic time-varying interactions between digital finance, listed firms’ market value management and systemic financial risk. The results indicate that digital finance is positively correlated with short-term market value management and shows a mitigating association with systemic financial risk. Market value management exhibits a short-term negative response to systemic financial risk, indicating its effectiveness. The outcomes are robust to alternative measures of systemic financial risk, change the lag period and replace the model. The findings can provide theoretical basis and practical reference for risk prediction, control and stable development of financial markets.

Authors

Institutions

Publication Details

Journal
Applied Economics Letters
Published
2026-07-23
DOI
https://doi.org/10.1080/13504851.2026.2706087
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The time-varying effects of digital finance and market value management on systemic financial risk: evidence from the TVP-VAR-SV approach

Dan Wang, Yihe Feng, Wei Zhu
Applied Economics Letters
Financial Distress and Bankruptcy Prediction
article

The time-varying effects of digital finance and market value management on systemic financial risk: evidence from the TVP-VAR-SV approach

Dan Wang, Yihe Feng, Wei Zhu
article en

Abstract

Systemic financial risk inherently exhibits significant time-varying and contagious characteristics, with its evolution process profoundly influenced by the dynamic interplay of digital finance development and market value management practices. Based on this, our study uses the Time-Varying Parameter Vector Autoregression with Stochastic Volatility (TVP-VAR-SV) model to examine the dynamic time-varying interactions between digital finance, listed firms’ market value management and systemic financial risk. The results indicate that digital finance is positively correlated with short-term market value management and shows a mitigating association with systemic financial risk. Market value management exhibits a short-term negative response to systemic financial risk, indicating its effectiveness. The outcomes are robust to alternative measures of systemic financial risk, change the lag period and replace the model. The findings can provide theoretical basis and practical reference for risk prediction, control and stable development of financial markets.

Applied Economics Letters
Lanzhou University (CN)
National Social Science Fund of China
Openalex Percentile: Top 4%
Financial Distress and Bankruptcy Prediction
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.