Correlation Between IShares SPTSX and IShares MSCI
Can any of the company-specific risk be diversified away by investing in both IShares SPTSX and IShares MSCI 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 IShares SPTSX and IShares MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares SPTSX Capped and iShares MSCI EAFE, you can compare the effects of market volatilities on IShares SPTSX and IShares MSCI 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 IShares SPTSX with a short position of IShares MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares SPTSX and IShares MSCI.
Diversification Opportunities for IShares SPTSX and IShares MSCI
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IShares and IShares is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding iShares SPTSX Capped and iShares MSCI EAFE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares MSCI EAFE and IShares SPTSX 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 iShares SPTSX Capped are associated (or correlated) with IShares MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares MSCI EAFE has no effect on the direction of IShares SPTSX i.e., IShares SPTSX and IShares MSCI go up and down completely randomly.
Pair Corralation between IShares SPTSX and IShares MSCI
Assuming the 90 days trading horizon iShares SPTSX Capped is expected to under-perform the IShares MSCI. In addition to that, IShares SPTSX is 2.77 times more volatile than iShares MSCI EAFE. It trades about -0.15 of its total potential returns per unit of risk. iShares MSCI EAFE is currently generating about -0.06 per unit of volatility. If you would invest 3,636 in iShares MSCI EAFE on August 24, 2024 and sell it today you would lose (31.00) from holding iShares MSCI EAFE or give up 0.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
iShares SPTSX Capped vs. iShares MSCI EAFE
Performance |
| Timeline |
| iShares SPTSX Capped |
| iShares MSCI EAFE |
IShares SPTSX and IShares MSCI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares SPTSX and IShares MSCI
The main advantage of trading using opposite IShares SPTSX and IShares MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares SPTSX position performs unexpectedly, IShares MSCI 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 MSCI will offset losses from the drop in IShares MSCI's long position.| IShares SPTSX vs. iShares SPTSX Completion | IShares SPTSX vs. iShares SPTSX Capped | IShares SPTSX vs. iShares MSCI EAFE | IShares SPTSX vs. iShares Diversified Monthly |
| IShares MSCI vs. iShares Core MSCI | IShares MSCI vs. BMO MSCI EAFE | IShares MSCI vs. Vanguard FTSE Developed | IShares MSCI vs. iShares Core MSCI |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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