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SPLG vs. VT

SPDR Portfolio S&P 500 ETF

SPLG
$--
vs

Vanguard Total World Stock ETF

VT
$--

Correlation

0.97
SPLGSPDR Portfolio S&P 500 ETF
VTVanguard Total World Stock ETF

What is SPLG?

The SPDR Portfolio S&P 500 ETF seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of the S&P 500 Index (the "Index"). The S&P 500 Index is composed of five hundred (500) selected stocks, all of which are listed on national stock exchanges and spans over approximately 24 separate industry groups.

Snapshot
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SPLG SPDR Portfolio S&P 500 ETF
VT Vanguard Total World Stock ETF
Inception date
Nov 08 2005
Jun 24 2008
Expense ratio
0.02%
0.07%
SPLG has a lower expense ratio than VT by 0.05%. This can indicate that it’s cheaper to invest in SPLG than VT.
Type
US Equities
Global Equities
SPLG targets investing in US Equities, while VT targets investing in Global Equities.
Fund owner
State Street (SPDR)
Vanguard
SPLG is managed by State Street (SPDR), while VT is managed by Vanguard.
Volume (1m avg. daily)
$153,285,985
$138,228,150
Both SPLG and VT 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
$19,439,639,569
$28,426,068,465
SPLG has more assets under management than VT by $8,986,428,896. Higher AUM can be associated with better liquidity and lower slippage in trading.
Associated index
S&P 500 Index
FTSE Global All Cap Index
SPLG is based off of the S&P 500 Index, while VT is based off of the FTSE Global All Cap Index
Inverse/Leveraged
No
No
SPLG and VT 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
SPLG and VT 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
No
No
SPLG and VT may offer dividends. The frequency and yield of the dividend may not be the same.
Prospectus
Neither SPLG nor VT require a K1.
SPLG and VT’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 toSPLG

#DSS

Diversify with Sin Stocks

Category

Grow Your Portfolio, Diversification

Risk Rating

Aggressive

Automated Strategies
Related toVT

#WIR

When Inflation is Rising

Category

Living With High Inflation, Worried about Inflation?

Risk Rating

Moderate

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.