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VMAX — Hartford US Value ETF

Hartford US Value ETF (ticker: VMAX) is a volatility ETF issued by The Hartford Insurance Group, Inc. tracking ACTIVE - No Index. It was launched on 2023-12-06.

Live Price$56.1189
Change1.83%
AUM$46.97M
Expense Ratio0.00%
Avg Volume164.667

Returns (Total Return)

PeriodReturn
1 Day-0.16%
1 Week0.11%
1 Month1.27%
3 Months6.64%
6 Months11.83%
YTD11.73%
1 Year26.90%
3 Years
5 Years
10 Years
Since Inception

Top Holdings

#SecuritySymbolWeight
1 SYSCO CORP COMMON STOCK USD1.0 SYY
2 SMITH (A.O.) CORP COMMON STOCK USD1.0 AOS
3 SMITH (A.O.) CORP COMMON STOCK USD1.0 AOS
4 SYSCO CORP COMMON STOCK USD1.0 SYY
5 SYSCO CORP COMMON STOCK USD1.0 SYY
6 SMITH (A.O.) CORP COMMON STOCK USD1.0 AOS
7 ALLSTATE CORP COMMON STOCK USD.01 ALL
8 SYSCO CORP COMMON STOCK USD1.0 SYY
9 SYSCO CORP COMMON STOCK USD1.0 SYY
10 ALLSTATE CORP COMMON STOCK USD.01 ALL

Fund Profile

IssuerThe Hartford Insurance Group, Inc.
BrandHartford
Asset Classvolatility
StrategyValue
StructureETF
CategoryVolatility
SegmentEquity: U.S. - Large Cap Value
RegionGlobal ex-U.S.
Index TrackedACTIVE - No Index
Inception Date2023-12-06
Tax on DistributionsQualified dividends

Quick Facts

TickerVMAX
Full NameHartford US Value ETF
IssuerThe Hartford Insurance Group, Inc.
Asset Classvolatility
Expense Ratio0.00%
AUM$46.97M
Inception2023-12-06
Index TrackedACTIVE - No Index

Frequently Asked Questions

What does VMAX track?

VMAX (Hartford US Value ETF) tracks ACTIVE - No Index, a volatility benchmark.

What is the expense ratio of VMAX?

VMAX has an expense ratio of 0.00% per year.

What is the AUM of VMAX?

VMAX has approximately $46.97M in assets under management.

Does VMAX pay a dividend?

VMAX distributes income according to its prospectus (Qualified dividends tax treatment). Check the dividend history tab for ex-dividend dates and yield.

Who issues VMAX?

VMAX is issued by The Hartford Insurance Group, Inc. under the Hartford brand, launched on 2023-12-06.

Open the interactive VMAX dashboard for charts, historical fund flows, holdings breakdown and seasonality patterns.