This paper examines the relationship between the size, value, momentum, and low volatility anomalies and changes in the yield curve for the U.S. stock market for the period from 1968 to 2014. Yield curve changes are approached by looking at government bond returns of various maturities. Using regression analysis, this study finds that large stocks, growth stocks, stocks of stable, mature firms, stocks with average return momentum, and low volatility stocks are relatively more exposed to yield curve changes. Exposure to yield curve changes only results in a premium in a CAPM framework when stocks are sorted on stock return momentum and when stocks are sorted on stock return volatility. Results are fairly robust to alternative factor definitions and robust to sample splits.