ETF Fund Flows For November 9, 2022

ETF Fund Flows For November 9, 2022

Here are the daily ETF fund flows for November 9, 2022.

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Reviewed by: etf.com Staff
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Edited by: etf.com Staff

Top 10 Creations (All ETFs)

 

TickerNameNet Flows ($,mm)AUM ($, mm)AUM % Change
QQQInvesco QQQ Trust1,509.45148,357.021.02%
IWMiShares Russell 2000 ETF726.7552,792.591.38%
VTEBVanguard Tax-Exempt Bond ETF255.7721,434.041.19%
IVWiShares S&P 500 Growth ETF245.7127,865.080.88%
TLTiShares 20+ Year Treasury Bond ETF207.2622,694.560.91%
IWFiShares Russell 1000 Growth ETF204.7257,549.100.36%
DIASPDR Dow Jones Industrial Average ETF Trust182.3829,891.550.61%
SHYiShares 1-3 Year Treasury Bond ETF161.3629,440.170.55%
JNKSPDR Bloomberg High Yield Bond ETF160.118,563.531.87%
IJHiShares Core S&P Mid-Cap ETF157.4962,452.270.25%

 

Top 10 Redemptions (All ETFs)

TickerNameNet Flows ($,mm)AUM ($, mm)AUM % Change
SPYSPDR S&P 500 ETF Trust-859.36356,839.65-0.24%
EFAiShares MSCI EAFE ETF-370.0142,883.58-0.86%
VTVVanguard Value ETF-365.51102,399.10-0.36%
IGViShares Expanded Tech-Software Sector ETF-248.174,280.88-5.80%
SMHVanEck Semiconductor ETF-179.526,536.54-2.75%
XLVHealth Care Select Sector SPDR Fund-179.3340,284.19-0.45%
HYGiShares iBoxx USD High Yield Corporate Bond ETF-173.9715,664.29-1.11%
IEFiShares 7-10 Year Treasury Bond ETF-159.2221,344.95-0.75%
RSPInvesco S&P 500 Equal Weight ETF-156.6331,588.56-0.50%
SSUSDay Hagan/Ned Davis Research Smart Sector ETF-119.22445.56-26.76%

 

ETF Daily Flows By Asset Class

 Net Flows ($, mm)AUM ($, mm)% of AUM
U.S. Equity3,307.893,814,875.820.09%
International Equity-394.941,080,813.22-0.04%
U.S. Fixed Income1,101.261,102,136.200.10%
International Fixed Income139.29131,584.480.11%
Commodities59.17127,455.280.05%
Currency-13.124,456.71-0.29%
Leveraged180.1346,440.920.39%
Inverse-83.4123,385.52-0.36%
Asset Allocation-3.9116,032.38-0.02%
Alternatives20.529,198.030.22%
Total:4,312.906,356,378.580.07%

 

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.

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