Abstract
Evidence shows that high macroeconomic uncertainty leads to high stock market volatility. However, the relationship between macroeconomic uncertainty and volatility is much less clear when there are structural changes in volatility. We examine the relationship between macroeconomic uncertainty and realized U.S. stock market volatility using a heterogeneous autoregressive regime switching model. This allows both volatility and uncertainty to determine the regimes. Realized volatility is best characterized by a four-regime structure in which macroeconomic uncertainty predicts realized volatility across regimes and is a threshold that determines regime switches. This model delivers a significant improvement in volatility prediction over longer horizons. Decomposing uncertainty into ‘‘good’’ and ‘‘bad’’ components, we find volatility responds asymmetrically to these across all regimes, with bad uncertainty having a quantitatively large effect. Our results provide a deeper understanding of how macroeconomic uncertainty determines stock market volatility and how it impacts real economic activity through its impact on volatility.
| Original language | English |
|---|---|
| Article number | 106483 |
| Number of pages | 15 |
| Journal | Economic Modelling |
| Volume | 128 |
| DOIs | |
| Publication status | Published - Nov 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 8 Decent Work and Economic Growth
Keywords
- Macroeconomic uncertainty
- Realized volatility
- Heterogeneous Autoregressive Realized Volatility (HAR-RV) model
- Regime-switching
- Tree-structured Model
Fingerprint
Dive into the research topics of 'Regime-dependent effects of macroeconomic uncertainty on realized volatility in the U.S. stock market'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver