Correlation Between IShares Core and BMO Balanced
Can any of the company-specific risk be diversified away by investing in both IShares Core and BMO Balanced 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 Core and BMO Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Core SPTSX and BMO Balanced ETF, you can compare the effects of market volatilities on IShares Core and BMO Balanced 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 Core with a short position of BMO Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Core and BMO Balanced.
Diversification Opportunities for IShares Core and BMO Balanced
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between IShares and BMO is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding iShares Core SPTSX and BMO Balanced ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Balanced ETF and IShares Core 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 Core SPTSX are associated (or correlated) with BMO Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Balanced ETF has no effect on the direction of IShares Core i.e., IShares Core and BMO Balanced go up and down completely randomly.
Pair Corralation between IShares Core and BMO Balanced
Assuming the 90 days trading horizon iShares Core SPTSX is expected to generate 1.58 times more return on investment than BMO Balanced. However, IShares Core is 1.58 times more volatile than BMO Balanced ETF. It trades about 0.15 of its potential returns per unit of risk. BMO Balanced ETF is currently generating about 0.14 per unit of risk. If you would invest 4,622 in iShares Core SPTSX on September 5, 2025 and sell it today you would earn a total of 364.00 from holding iShares Core SPTSX or generate 7.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
iShares Core SPTSX vs. BMO Balanced ETF
Performance |
| Timeline |
| iShares Core SPTSX |
| BMO Balanced ETF |
IShares Core and BMO Balanced Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares Core and BMO Balanced
The main advantage of trading using opposite IShares Core and BMO Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Core position performs unexpectedly, BMO Balanced 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 BMO Balanced will offset losses from the drop in BMO Balanced's long position.| IShares Core vs. iShares Convertible Bond | IShares Core vs. iShares SP Mid Cap | IShares Core vs. iShares Edge MSCI | IShares Core vs. iShares Flexible Monthly |
| BMO Balanced vs. BMO Short Term Bond | BMO Balanced vs. BMO SPDR Consumer | BMO Balanced vs. BMO Canadian Bank | BMO Balanced vs. BMO SPDR Real |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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