Keyword: low volatility

Value Stocks vs. Low Volatility Stocks Chart showing the large divergence between value stocks and low volatility stocks, like never before. Image: J.P. Morgan

S&P 500 Low Volatility Stocks Are the Best Performing Asset YTD This chart shows that S&P 500 low volatility stocks are the best performing asset year-to-date (outside of GSCI energy). Actually, high-quality stocks are a good way to protect against a weak economy. Image: Goldman Sachs Global Investment Research

Heightened Correlations to U.S. Treasury Implied Volatility (MOVE) Followed by Higher Yields This chart suggests that balanced portfolios could suffer as U.S. Treasury yields generally rise after heightened correlation. Image: Arbor Research & Trading LLC

S&P 500 Volatility by Decade Volatility ended this decade at a lower level than the previous decade. Image: Reuters

EUR/USD One Year Historical Volatility (U.S. Dollar and Euro) 2019 is a record low volatility in EUR/USD since 1999. Image: Oxford Economics, Macrobond

S&P 500 Realized Volatility by Year 2020 volatility estimate of 14.7 is above the median, but below the mean (data from January 1929 to December 2019). Image: Goldman Sachs Global Investment Research

U.S. Treasuries Volatility Curve Short-term periods of inversion have been followed by higher U.S. Treasuries yields and tighter credit spreads. Image: Arbor Research & Trading LLC

U.S. Nominal GDP vs. S&P 500 Volatility This chart shows that the S&P 500 volatility remains high in a context of slower macroeconomic cycles. Image: Goldman Sachs Global Investment Research

S&P 500 1-Month Realised Volatility History This chart shows that the last 90 years have been split equally between high, low and normal volatility regimes. Image: Goldman Sachs Global Investment Research

The Yield Curve Leads VIX (Volatility) by Three Years Is more volatility expected ahead? This chart suggests that the CBOE Volatility Index or VIX usually follows the U.S. 10-year vs. 2-year Treasury spread (inverted) with a 3-year lag. Image: Morgan Stanley Research