Correlation Between Postmedia Network and Killam Apartment
Can any of the company-specific risk be diversified away by investing in both Postmedia Network and Killam Apartment 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 Postmedia Network and Killam Apartment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Postmedia Network Canada and Killam Apartment Real, you can compare the effects of market volatilities on Postmedia Network and Killam Apartment 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 Postmedia Network with a short position of Killam Apartment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Postmedia Network and Killam Apartment.
Diversification Opportunities for Postmedia Network and Killam Apartment
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Postmedia and Killam is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Postmedia Network Canada and Killam Apartment Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Killam Apartment Real and Postmedia Network 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 Postmedia Network Canada are associated (or correlated) with Killam Apartment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Killam Apartment Real has no effect on the direction of Postmedia Network i.e., Postmedia Network and Killam Apartment go up and down completely randomly.
Pair Corralation between Postmedia Network and Killam Apartment
Assuming the 90 days trading horizon Postmedia Network Canada is expected to under-perform the Killam Apartment. In addition to that, Postmedia Network is 2.84 times more volatile than Killam Apartment Real. It trades about -0.13 of its total potential returns per unit of risk. Killam Apartment Real is currently generating about -0.25 per unit of volatility. If you would invest 1,999 in Killam Apartment Real on October 15, 2024 and sell it today you would lose (320.00) from holding Killam Apartment Real or give up 16.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Postmedia Network Canada vs. Killam Apartment Real
Performance |
Timeline |
Postmedia Network Canada |
Killam Apartment Real |
Postmedia Network and Killam Apartment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Postmedia Network and Killam Apartment
The main advantage of trading using opposite Postmedia Network and Killam Apartment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Postmedia Network position performs unexpectedly, Killam Apartment 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 Killam Apartment will offset losses from the drop in Killam Apartment's long position.Postmedia Network vs. Maple Peak Investments | Postmedia Network vs. Partners Value Investments | Postmedia Network vs. Nano One Materials | Postmedia Network vs. UnitedHealth Group CDR |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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