Correlation Between Telus Corp and Real Estate
Can any of the company-specific risk be diversified away by investing in both Telus Corp and Real Estate 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 Telus Corp and Real Estate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telus Corp and Real Estate E Commerce, you can compare the effects of market volatilities on Telus Corp and Real Estate 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 Telus Corp with a short position of Real Estate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telus Corp and Real Estate.
Diversification Opportunities for Telus Corp and Real Estate
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Telus and Real is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Telus Corp and Real Estate E Commerce in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Estate E and Telus Corp 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 Telus Corp are associated (or correlated) with Real Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Estate E has no effect on the direction of Telus Corp i.e., Telus Corp and Real Estate go up and down completely randomly.
Pair Corralation between Telus Corp and Real Estate
Given the investment horizon of 90 days Telus Corp is expected to under-perform the Real Estate. But the stock apears to be less risky and, when comparing its historical volatility, Telus Corp is 1.16 times less risky than Real Estate. The stock trades about -0.45 of its potential returns per unit of risk. The Real Estate E Commerce is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 1,169 in Real Estate E Commerce on October 9, 2024 and sell it today you would lose (24.00) from holding Real Estate E Commerce or give up 2.05% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Telus Corp vs. Real Estate E Commerce
Performance |
| Timeline |
| Telus Corp |
| Real Estate E |
Telus Corp and Real Estate Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Telus Corp and Real Estate
The main advantage of trading using opposite Telus Corp and Real Estate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telus Corp position performs unexpectedly, Real Estate 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 Real Estate will offset losses from the drop in Real Estate's long position.| Telus Corp vs. BCE Inc | Telus Corp vs. Fortis Inc | Telus Corp vs. Enbridge | Telus Corp vs. Toronto Dominion Bank |
| Real Estate vs. Global Dividend Growth | Real Estate vs. E Split Corp | Real Estate vs. Brompton Split Banc | Real Estate vs. Life Banc Split |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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