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Regime-dependent effects of macroeconomic uncertainty on realized volatility in the U.S. stock market

  • Ian Garrett
  • , Wei Liu*
  • *Corresponding author for this work
  • Capital University of Economics and Business

Research output: Contribution to journal › Article › peer-review

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 languageEnglish
Article number106483
Number of pages15
JournalEconomic Modelling
Volume128
DOIs
Publication statusPublished - Nov 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Macroeconomic uncertainty
  • Realized volatility
  • Heterogeneous Autoregressive Realized Volatility (HAR-RV) model
  • Regime-switching
  • Tree-structured Model

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