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VYM vs. SPLG

Vanguard High Dividend Yield ETF

VYM
$--
vs

SPDR Portfolio S&P 500 ETF

SPLG
$--

Correlation

0.89
VYMVanguard High Dividend Yield ETF
SPLGSPDR Portfolio S&P 500 ETF

What is VYM?

Seeks to track the performance of the FTSE High Dividend Yield Index which measures the investment return of common stocks of companies characterized by high dividend yields. Provides a convenient way to track the performance of stocks with histories of above-average dividend yields. Follows a passively managed full-replication approach.

Snapshot
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VYM Vanguard High Dividend Yield ETF
SPLG SPDR Portfolio S&P 500 ETF
Inception date
Nov 10 2006
Nov 08 2005
Expense ratio
0.06%
0.02%
VYM has a higher expense ratio than SPLG by 0.03%. This can indicate that it’s more expensive to invest in VYM than SPLG.
Type
US Equities
US Equities
VYM targets investing in US Equities, while SPLG targets investing in US Equities.
Fund owner
Vanguard
State Street (SPDR)
VYM is managed by Vanguard, while SPLG is managed by State Street (SPDR).
Volume (1m avg. daily)
$134,746,385
$153,285,985
Both VYM and SPLG are considered high-volume assets. They’re less likely to be affected by issues like slippage and failed orders on Composer than low-volume assets.
AUM
$48,466,955,232
$19,439,639,569
VYM has more assets under management than SPLG by $29,027,315,663. Higher AUM can be associated with better liquidity and lower slippage in trading.
Associated index
FTSE High Dividend Yield Index
S&P 500 Index
VYM is based off of the FTSE High Dividend Yield Index, while SPLG is based off of the S&P 500 Index
Inverse/Leveraged
No
No
VYM and SPLG use the same leverage ratio. Inverse and leveraged ETFs can be used to either take an opposite position or amplify returns of a given index.
Passive/Active
Passive
Passive
VYM and SPLG both use a Passive investing strategy. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.
Dividend
Yes
No
VYM may offer dividends, while SPLG does not. The frequency and yield of the dividend for VYM may vary.
Prospectus
Neither VYM nor SPLG require a K1.
VYM and SPLG’s Correlation
When ETFs are correlated, there are 3 main topics to analyze that will help you build your automated trading strategy: liquidity, expense, and risk.
  • Liquidity: In an active trading strategy (trading multiple time per week), it’s important to consider the liquidity of the ETF you’re using. Lower liquidity can mean more money lost in slippage. AUM and average daily volume are both indicators of liquidity.
  • Expense: Some ETFs are more expensive to use than others. For strategies that are focused on longer holding periods, it’s important to factor in how expensive it is to hold this ETF. Expense ratio is the main indicator of how expensive an ETF is.
  • Risk: Some ETFs will be highly correlated, but have varying degrees of returns, due to leverage. It’s important to consider if an ETF is using leverage or not. The main indicators of a riskier ETF will be the use of leverage and higher standard deviation or max drawdown in a backtest.

Automated Strategies
Related toVYM

#CV

Controlling for Volatility

Category

Getting Defensive, Worried about Inflation?

Risk Rating

Moderate

Automated Strategies
Related toSPLG

#DSS

Diversify with Sin Stocks

Category

Grow Your Portfolio, Diversification

Risk Rating

Aggressive

Create your own algorithmic
trading strategy

Disclaimers

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We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

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We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.