Global Markets Rally in July, Led by US Real Estate and Foreign Property Shares
The major asset classes, excluding commodities, experienced a strong rally in July, with US real estate investment trusts (REITs) and foreign property shares leading the charge. The Vanguard Real Estate ETF (VNQ) surged 7.9%, marking its third consecutive monthly advance. Global property shares, as represented by the Vanguard Global Real Estate ETF (VNQI), posted a 5.0% gain, making it the second-best performer among the major asset classes. US stocks and bonds also continued their upward trend, with fixed income outperforming equities for the first time since April.
Key Takeaways:
- US real estate investment trusts (REITs) led the rally in July, rising 7.9% as represented by the Vanguard Real Estate ETF (VNQ).
- Global property shares, as represented by the Vanguard Global Real Estate ETF (VNQI), posted a 5.0% gain, making it the second-best performer among the major asset classes.
- US stocks continued to outperform, with a 15.7% surge year-to-date, making it the best-performing major asset class.
- For the first time since April, fixed income (bonds) outperformed equities in July.
- Commodities (GSG) were the only major asset class to decline in July, falling 2.9%.
- The Global Market Index (GMI) posted its third consecutive monthly gain, rising 2.3% in July.
- GMI is up 10.7% year-to-date, with US stocks (VTI) being the clear leader.
Statistics:
- Vanguard Real Estate ETF (VNQ) rose 7.9% in July.
- Vanguard Global Real Estate ETF (VNQI) posted a 5.0% gain in July.
- United States stocks (VTI) are up 15.7% year-to-date.
- Commodities (GSG) fell 2.9% in July.
- Global Market Index (GMI) is up 10.7% year-to-date.
- For the one-year window, GMI continues to lag behind US stocks (VTI) and US bonds (BND).
Sources:
- CapitalSpectator.com
- Vanguard Real Estate ETF (VNQ)
- Vanguard Global Real Estate ETF (VNQI)
- BloombergTerminal.com
- Learn To Use R For Portfolio Analysis by James Picerno, published on Amazon.com
- Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return by James Picerno