Evolving Economic Relationships: A TVP-VAR Analysis of Trade, World Uncertainty, and Stock Market Volatility in Europe
Understanding the intricate relationship between trade, uncertainty, and stock market volatility is fundamental to navigating economic fluctuations.This paper aims to examine the dynamic interdependencies between international trade, world uncertainty, and stock market volatility in 15 European countries using a Time-Varying Parameter Vector Autoregression (TVP-VAR) model.After extracting time-varying coefficients, we employ a Dynamic Factor Model (DFM) to identify common factors driving these dynamics.Our findings highlight significant patterns influenced by major economic events such as the European debt crisis, Brexit, and the COVID-19 pandemic and provide practical implications for better anticipation and response to economic shifts.This enhances economic stability and growth and fosters a more informed and enlightened approach to economic policy-making.
Authors
- FILIP Radu Ion
- Gheorghe Hurduzeu (ORCID: https://orcid.org/0000-0002-1929-1851)
- LUPU Radu
- Iulia Lupu (ORCID: https://orcid.org/0000-0001-8427-8875)
Publication Details
- Journal
- ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH
- Published
- 2024-12-19
- DOI
- https://doi.org/10.24818/18423264/58.4.24.02
- Citations
- 3
- Primary Topic
- Market Dynamics and Volatility
- Type
- article
- Field-Weighted Citation Impact
- 3.39