US ETFs Fuel $8.5B Weekly Inflows
U.S. equity ETFs and U.S. fixed income ETFs took in the bulk of this week's inflows.
New highs in the U.S. stock market encouraged investors to put money to work in ETFs this week. On net, $8.5 billion entered U.S.-listed ETFs during the week ending Thursday, July 12, according to the latest data from FactSet. That pushed year-to-date inflows up to $131.2 billion.
During the period, the small-cap Russell 2000 and the tech-heavy Nasdaq Composite notched record highs. At the same time, the S&P 500 touched a five-month high.
Eyeing the rally in stocks, investors added $4.4 billion of fresh money into U.S. equity ETFs, including $918 million into the Schwab U.S. Large-Cap ETF (SCHX) and nearly $500 million into the Vanguard Real Estate ETF (VNQ).
Fixed Income ETFs Continue To Roll
Yet, as solid as the inflows for U.S. equity ETFs were this week, they were once again outpaced by inflows into U.S. fixed income ETFs. The latter segment took in $4.5 billion thanks to strong interest in funds like the iShares iBoxx USD High Yield Corporate Bond ETF (HYG), the iShares iBoxx USD Investment Grade Corporate Bond ETF (LQD) and the SPDR Bloomberg Barclays High Yield Bond ETF (JNK).
For a second week in a row, the benchmark U.S. 10-year Treasury yield was little changed near 2.83%. Meanwhile, the 2-year Treasury yield edged up by 3 basis points to 2.58%. The spread between the two narrowed to about 25 basis points, an 11-year low.
For a full list of the week's top inflows and outflows, see the tables below:
Top 10 Creations (All ETFs)
| Ticker | Name | Net Flows ($,mm) | AUM ($, mm) | AUM % Change |
| HYG | iShares iBoxx USD High Yield Corporate Bond ETF | 1,360.37 | 15,831.15 | 9.40% |
| SPY | SPDR S&P 500 ETF Trust | 928.02 | 264,954.33 | 0.35% |
| SCHX | Schwab U.S. Large-Cap ETF | 918.37 | 13,902.27 | 7.07% |
| LQD | iShares iBoxx USD Investment Grade Corporate Bond ETF | 620.05 | 34,070.75 | 1.85% |
| XLV | Health Care Select Sector SPDR Fund | 573.64 | 16,287.02 | 3.65% |
| JNK | SPDR Bloomberg Barclays High Yield Bond ETF | 496.13 | 9,508.24 | 5.51% |
| VNQ | Vanguard Real Estate ETF | 495.57 | 32,259.70 | 1.56% |
| QQQ | Invesco QQQ Trust | 483.91 | 67,707.69 | 0.72% |
| NEAR | iShares Short Maturity Bond ETF | 450.76 | 4,375.38 | 11.49% |
| IXN | iShares Global Tech ETF | 411.69 | 2,274.04 | 22.11% |
Top 10 Redemptions (All ETFs)
| Ticker | Name | Net Flows ($,mm) | AUM ($, mm) | AUM % Change |
| IWM | iShares Russell 2000 ETF | -1,083.88 | 47,364.22 | -2.24% |
| IWB | iShares Russell 1000 ETF | -542.75 | 20,076.22 | -2.63% |
| VWO | Vanguard FTSE Emerging Markets ETF | -363.40 | 59,954.05 | -0.60% |
| TLT | iShares 20+ Year Treasury Bond ETF | -329.65 | 7,540.81 | -4.19% |
| GLD | SPDR Gold Trust | -320.87 | 31,989.63 | -0.99% |
| EWJ | iShares MSCI Japan ETF | -257.27 | 17,940.14 | -1.41% |
| EZU | iShares MSCI Eurozone ETF | -256.60 | 10,336.71 | -2.42% |
| IVV | iShares Core S&P 500 ETF | -240.03 | 151,587.88 | -0.16% |
| CIU | iShares Intermediate Credit Bond ETF | -239.05 | 6,606.56 | -3.49% |
| MTUM | iShares Edge MSCI U.S.A. Momentum Factor ETF | -212.14 | 9,210.34 | -2.25% |
ETF Weekly Flows By Asset Class
| Net Flows ($, mm) | AUM ($, mm) | % of AUM | |
| U.S. Equity | 4,441.46 | 2,044,105.31 | 0.22% |
| International Equity | -831.80 | 789,788.91 | -0.11% |
| U.S. Fixed Income | 4,524.10 | 559,808.72 | 0.81% |
| International Fixed Income | 317.84 | 62,464.98 | 0.51% |
| Commodities ETFs | -260.61 | 64,100.60 | -0.41% |
| Currency | -12.56 | 1,198.84 | -1.05% |
| Leveraged | -186.79 | 36,754.53 | -0.51% |
| Inverse | 248.33 | 13,089.19 | 1.90% |
| Asset Allocation | 53.02 | 9,320.87 | 0.57% |
| Alternatives | 240.69 | 4,466.64 | 5.39% |
| Total: | 8,533.68 | 3,585,098.59 | 0.24% |
Asset Classes (Year-to-Date)
| Net Flows ($, mm) | AUM ($, mm) | % of AUM | |
| U.S. Equity | 40,879.16 | 2,044,105.31 | 2.00% |
| International Equity | 29,726.45 | 789,788.91 | 3.76% |
| U.S. Fixed Income | 47,222.31 | 559,808.72 | 8.44% |
| International Fixed Income | 6,112.67 | 62,464.98 | 9.79% |
| Commodities ETFs | 1,016.91 | 64,100.60 | 1.59% |
| Currency | 1.75 | 1,198.84 | 0.15% |
| Leveraged | 2,714.00 | 36,754.53 | 7.38% |
| Inverse | 2,730.17 | 13,089.19 | 20.86% |
| Asset Allocation | 605.63 | 9,320.87 | 6.50% |
| Alternatives | 143.62 | 4,466.64 | 3.22% |
| Total: | 131,152.67 | 3,585,098.59 | 3.66% |
Top 10 Weekly Performers, Excluding Leverage/Inverse Funds and <1,000 Shares Traded
| Ticker | Name | Weekly Performance | Weekly Volume | AUM ($, mm) |
| KFYP | KraneShares Zacks New China ETF | 6.69% | 1,020 | 3.27 |
| REMX | VanEck Vectors Rare Earth/Strategic Metals ETF | 5.02% | 199,368 | 156.42 |
| SCIN | Columbia India Small Cap ETF | 4.32% | 16,857 | 22.03 |
| CHIM | Global X China Materials ETF | 4.06% | 4,626 | 3.65 |
| CNXT | VanEck Vectors ChinaAMC SME-ChiNext ETF | 3.98% | 22,776 | 22.64 |
| HILO | Columbia EM Quality Dividend ETF | 3.72% | 3,688 | 9.34 |
| ASHX | Xtrackers MSCI China A Inclusion Equity ETF | 3.70% | 541,346 | 11.79 |
| KSA | iShares MSCI Saudi Arabia ETF | 3.69% | 206,224 | 278.84 |
| FLRU | Franklin FTSE Russia ETF | 3.65% | 5,366 | 7.08 |
| OIH | VanEck Vectors Oil Services ETF | 3.59% | 25,403,180 | 1,515.17 |
Top 10 YTD Performers
| Ticker | Name | YTD Performance | Weekly Performance | AUM ($, mm) |
| VMAX | REX VolMAXX Long VIX Futures Strategy ETF | 51.55% | -6.62% | 2.62 |
| PSCH | Invesco S&P SmallCap Health Care ETF | 37.05% | 0.12% | 842.31 |
| XWEB | SPDR S&P Internet ETF | 35.94% | -0.97% | 45.33 |
| FDN | First Trust Dow Jones Internet Index Fund | 32.94% | 0.35% | 9,356.62 |
| OILX | ETRACS S&P GSCI Crude Oil Total Return ETN | 31.99% | 0.00% | 16.41 |
| CLIX | ProShares Long Online/Short Stores ETF | 30.20% | 0.00% | 61.57 |
| XITK | SPDR FactSet Innovative Technology ETF | 29.81% | 0.70% | 44.39 |
| NIB | iPath Bloomberg Cocoa Subindex Total Return ETN | 29.67% | 0.71% | 37.38 |
| IBUY | Amplify Online Retail | 29.11% | -0.59% | 494.99 |
| ARKG | ARK Genomic Revolution Multi-Sector ETF | 29.03% | -0.13% | 226.86 |
Disclaimer: All data as of 6 a.m. Eastern time the date the article is published. Data is believed to be accurate; however, transient market data is often subject to subsequent revision and correction by the exchanges.
