Correlation Between Vanguard FTSE and IShares Core
Can any of the company-specific risk be diversified away by investing in both Vanguard FTSE and IShares Core at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Vanguard FTSE and IShares Core into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vanguard FTSE Canadian and iShares Core SP, you can compare the effects of market volatilities on Vanguard FTSE and IShares Core and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Vanguard FTSE with a short position of IShares Core. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vanguard FTSE and IShares Core.
Diversification Opportunities for Vanguard FTSE and IShares Core
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Vanguard and IShares is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Vanguard FTSE Canadian and iShares Core SP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Core SP and Vanguard FTSE is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Vanguard FTSE Canadian are associated (or correlated) with IShares Core. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Core SP has no effect on the direction of Vanguard FTSE i.e., Vanguard FTSE and IShares Core go up and down completely randomly.
Pair Corralation between Vanguard FTSE and IShares Core
Assuming the 90 days trading horizon Vanguard FTSE Canadian is expected to generate 0.61 times more return on investment than IShares Core. However, Vanguard FTSE Canadian is 1.63 times less risky than IShares Core. It trades about -0.07 of its potential returns per unit of risk. iShares Core SP is currently generating about -0.06 per unit of risk. If you would invest 5,041 in Vanguard FTSE Canadian on December 3, 2024 and sell it today you would lose (111.00) from holding Vanguard FTSE Canadian or give up 2.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Vanguard FTSE Canadian vs. iShares Core SP
Performance |
Timeline |
Vanguard FTSE Canadian |
iShares Core SP |
Vanguard FTSE and IShares Core Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vanguard FTSE and IShares Core
The main advantage of trading using opposite Vanguard FTSE and IShares Core positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vanguard FTSE position performs unexpectedly, IShares Core can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IShares Core will offset losses from the drop in IShares Core's long position.Vanguard FTSE vs. iShares SPTSX Composite | ||
Vanguard FTSE vs. Vanguard FTSE Canadian | ||
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Vanguard FTSE vs. iShares Core SPTSX |
IShares Core vs. iShares SPTSX 60 | ||
IShares Core vs. iShares MSCI EAFE | ||
IShares Core vs. iShares Core SPTSX | ||
IShares Core vs. iShares SPTSX Capped |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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