Daily ETF Fund Flows For April 8, 2022

Here are the daily ETF fund flows for April 8, 2022.

ETF.com
Apr 11, 2022
Edited by: etf.com Staff
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Top 10 Creations (All ETFs)

TickerNameNet Flows ($,mm)AUM ($, mm)AUM % Change
XLUUtilities Select Sector SPDR Fund164.9415,387.741.07%
SOXLDirexion Daily Semiconductor Bull 3X Shares163.025,486.312.97%
HYSPIMCO 0-5 Year High Yield Corporate Bond Index ETF142.911,667.228.57%
IVViShares Core S&P 500 ETF135.15332,238.160.04%
LQDiShares iBoxx USD Investment Grade Corporate Bond ETF130.0532,004.080.41%
SPTLSPDR Portfolio Long Term Treasury ETF112.095,691.141.97%
BILSPDR Bloomberg 1-3 Month T-Bill ETF109.7013,816.660.79%
GLDSPDR Gold Trust108.1967,745.470.16%
KOKUXtrackers MSCI Kokusai Equity ETF104.55470.4622.22%
VTVanguard Total World Stock ETF100.2125,606.400.39%

 

Top 10 Redemptions (All ETFs)

 

TickerNameNet Flows ($,mm)AUM ($, mm)AUM % Change
SPYSPDR S&P 500 ETF Trust-2,310.05407,951.25-0.57%
QQQInvesco QQQ Trust-1,097.37191,579.93-0.57%
HYGiShares iBoxx USD High Yield Corporate Bond ETF-420.5714,169.93-2.97%
XLVHealth Care Select Sector SPDR Fund-383.1939,108.98-0.98%
XLCCommunication Services Select Sector SPDR Fund-321.2711,709.21-2.74%
DIASPDR Dow Jones Industrial Average ETF Trust-242.1030,156.38-0.80%
IWMiShares Russell 2000 ETF-219.4059,676.88-0.37%
JNKSPDR Bloomberg High Yield Bond ETF-181.626,586.19-2.76%
XLFFinancial Select Sector SPDR Fund-168.8241,941.92-0.40%
IYRiShares U.S. Real Estate ETF-153.455,217.24-2.94%

 

ETF Daily Flows By Asset Class

 

 Net Flows ($, mm)AUM ($, mm)% of AUM
U.S. Equity-4,703.624,218,036.45-0.11%
International Equity157.311,262,079.840.01%
U.S. Fixed Income155.231,050,670.790.01%
International Fixed Income162.83157,443.720.10%
Commodities126.18169,303.530.07%
Currency3.873,765.990.10%
Leveraged318.9266,313.390.48%
Inverse-84.3416,927.42-0.50%
Asset Allocation-21.5519,169.65-0.11%
Alternatives6.597,347.680.09%
Total:-3,878.576,971,058.47-0.06%

 

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.