Correlation Between BetaPro SPTSX and CI Canadian
Can any of the company-specific risk be diversified away by investing in both BetaPro SPTSX and CI Canadian 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 BetaPro SPTSX and CI Canadian into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BetaPro SPTSX 60 and CI Canadian Banks, you can compare the effects of market volatilities on BetaPro SPTSX and CI Canadian 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 BetaPro SPTSX with a short position of CI Canadian. Check out your portfolio center. Please also check ongoing floating volatility patterns of BetaPro SPTSX and CI Canadian.
Diversification Opportunities for BetaPro SPTSX and CI Canadian
-0.97 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BetaPro and CIC is -0.97. Overlapping area represents the amount of risk that can be diversified away by holding BetaPro SPTSX 60 and CI Canadian Banks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CI Canadian Banks and BetaPro 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 BetaPro SPTSX 60 are associated (or correlated) with CI Canadian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CI Canadian Banks has no effect on the direction of BetaPro SPTSX i.e., BetaPro SPTSX and CI Canadian go up and down completely randomly.
Pair Corralation between BetaPro SPTSX and CI Canadian
Assuming the 90 days trading horizon BetaPro SPTSX 60 is expected to under-perform the CI Canadian. In addition to that, BetaPro SPTSX is 3.03 times more volatile than CI Canadian Banks. It trades about -0.58 of its total potential returns per unit of risk. CI Canadian Banks is currently generating about 0.68 per unit of volatility. If you would invest 1,170 in CI Canadian Banks on September 1, 2024 and sell it today you would earn a total of 58.00 from holding CI Canadian Banks or generate 4.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 95.65% |
| Values | Daily Returns |
BetaPro SPTSX 60 vs. CI Canadian Banks
Performance |
| Timeline |
| BetaPro SPTSX 60 |
| CI Canadian Banks |
BetaPro SPTSX and CI Canadian Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BetaPro SPTSX and CI Canadian
The main advantage of trading using opposite BetaPro SPTSX and CI Canadian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BetaPro SPTSX position performs unexpectedly, CI Canadian 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 CI Canadian will offset losses from the drop in CI Canadian's long position.| BetaPro SPTSX vs. BetaPro Gold Bullion | BetaPro SPTSX vs. BetaPro NASDAQ 100 2x | BetaPro SPTSX vs. BetaPro SP TSX | BetaPro SPTSX vs. BetaPro SP TSX |
| CI Canadian vs. Celestica | CI Canadian vs. Descartes Systems Group | CI Canadian vs. Hamilton MidSmall Cap Financials | CI Canadian vs. CI Canada Lifeco |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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