Correlation Between US Financial and Rogers Communications
Can any of the company-specific risk be diversified away by investing in both US Financial and Rogers Communications 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 US Financial and Rogers Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Financial 15 and Rogers Communications, you can compare the effects of market volatilities on US Financial and Rogers Communications 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 US Financial with a short position of Rogers Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Financial and Rogers Communications.
Diversification Opportunities for US Financial and Rogers Communications
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between FTU-PB and Rogers is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding US Financial 15 and Rogers Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rogers Communications and US Financial 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 US Financial 15 are associated (or correlated) with Rogers Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rogers Communications has no effect on the direction of US Financial i.e., US Financial and Rogers Communications go up and down completely randomly.
Pair Corralation between US Financial and Rogers Communications
Assuming the 90 days trading horizon US Financial 15 is expected to generate 1.14 times more return on investment than Rogers Communications. However, US Financial is 1.14 times more volatile than Rogers Communications. It trades about 0.04 of its potential returns per unit of risk. Rogers Communications is currently generating about -0.03 per unit of risk. If you would invest 555.00 in US Financial 15 on October 3, 2024 and sell it today you would earn a total of 190.00 from holding US Financial 15 or generate 34.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
US Financial 15 vs. Rogers Communications
Performance |
Timeline |
US Financial 15 |
Rogers Communications |
US Financial and Rogers Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US Financial and Rogers Communications
The main advantage of trading using opposite US Financial and Rogers Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Financial position performs unexpectedly, Rogers Communications 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 Rogers Communications will offset losses from the drop in Rogers Communications' long position.US Financial vs. North American Financial | US Financial vs. Prime Dividend Corp | US Financial vs. Canadian Life Companies | US Financial vs. Financial 15 Split |
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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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