LVHI Legg Mason International Low Volatility High Dividend ETF

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LVHI Legg Mason International Low Volatility High Dividend ETF

Seeks to track, before fees and expenses, QS International Low Volatility High Dividend Hedged Index, an index composed of equity securities of developed markets outside the United States with relatively high yield and low price and earnings volatility. The Index also hedges currency exposure in an attempt to further reduce volatility. The Index starts with the securities across a range of market capitalizations that are included in the MSCI World ex-US IMI Index. Based on historical and projected data using QS Investors' proprietary methodology, the Index screens for profitable companies that have the potential to pay relatively high sustainable dividend yields. Yields of the remaining securities are then scored higher or lower based on the attractiveness of their price and earnings volatility. The portfolio is constructed to have the highest scoring securities subject to concentration limits: no individual component of the Index will exceed 2.5% of the Index, no individual sector will exceed 25%, no country will exceed will exceed 15%, no individual geographic region will exceed 50%, and real estate investment trust (REITs) components as a whole will not exceed 15%.. The Index’s components are reconstituted annually and rebalanced quarterly.

$26.31  +0.22 (0.84%)
As of 08/10/2022 09:39:22 EST     IEX book   CBOE book


ETF Information
Sponsor:     Legg Mason
Category1:  Global Equity
Category2:  Developed markets ex-US
Category3:  Multi-cap
Morningstar category:  Foreign Large Value
Leverage factor:  1.00
Inception date:  07/27/2016
Index tracking method: Passive replication
Current yield:  4.49%
Historical average yield:  5.47%
Market cap:  $118,240,800
Average volume:  49,949
Fees:     0.4000%

Index Information
QS International Low Volatility High Dividend Hedged Index
Index symbol:  LVHINR
Provider:   QS Investors
Index weighting:   Other
Index inception date:  01/01/1900
Backtesting data exists:   No
Factors used to select securities:

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