LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

The U.S. term structure and return volatility in emerging stock markets

Photo from wikipedia

This paper examines the predictive power of the U.S. term structure over return volatility in emerging stock markets. Decomposing the term structure of U.S. Treasury yields into two components, the… Click to show full abstract

This paper examines the predictive power of the U.S. term structure over return volatility in emerging stock markets. Decomposing the term structure of U.S. Treasury yields into two components, the expectations factor and the maturity premium, we show that the U.S. term structure indeed contains predictive information over emerging stock market volatility, even after controlling for country specific factors including turnover and market size. While we observe heterogeneous patterns across emerging markets in terms of their predictability with respect to the U.S. term structure, we find that the market’s expectation of future short term rates, implied by the expectations factor, serves as a stronger predictor of stock market volatility compared to the maturity premium component of the yield spread. We also find that the U.S. term structure has gained further predictive value following the global financial crisis, particularly for the BRICS nations of China, Russia, and S. Africa. Overall, our findings suggest that policymakers and investors can utilize interest rate signals from the U.S. Treasury yields to make projections over stock market volatility in their local markets, however, distinguishing between the two components of the yield curve could provide additional forecasting power depending on the country of focus.

Keywords: emerging stock; volatility; term; term structure

Journal Title: Journal of Economics and Finance
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.