Correlation Between Laurentian Bank and Sylogist
Can any of the company-specific risk be diversified away by investing in both Laurentian Bank and Sylogist 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 Laurentian Bank and Sylogist into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Laurentian Bank and Sylogist, you can compare the effects of market volatilities on Laurentian Bank and Sylogist 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 Laurentian Bank with a short position of Sylogist. Check out your portfolio center. Please also check ongoing floating volatility patterns of Laurentian Bank and Sylogist.
Diversification Opportunities for Laurentian Bank and Sylogist
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Laurentian and Sylogist is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Laurentian Bank and Sylogist in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sylogist and Laurentian Bank 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 Laurentian Bank are associated (or correlated) with Sylogist. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sylogist has no effect on the direction of Laurentian Bank i.e., Laurentian Bank and Sylogist go up and down completely randomly.
Pair Corralation between Laurentian Bank and Sylogist
Assuming the 90 days horizon Laurentian Bank is expected to generate 6.46 times less return on investment than Sylogist. But when comparing it to its historical volatility, Laurentian Bank is 1.18 times less risky than Sylogist. It trades about 0.01 of its potential returns per unit of risk. Sylogist is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 554.00 in Sylogist on August 27, 2024 and sell it today you would earn a total of 430.00 from holding Sylogist or generate 77.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Laurentian Bank vs. Sylogist
Performance |
Timeline |
Laurentian Bank |
Sylogist |
Laurentian Bank and Sylogist Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Laurentian Bank and Sylogist
The main advantage of trading using opposite Laurentian Bank and Sylogist positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Laurentian Bank position performs unexpectedly, Sylogist 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 Sylogist will offset losses from the drop in Sylogist's long position.Laurentian Bank vs. Sylogist | Laurentian Bank vs. Sangoma Technologies Corp | Laurentian Bank vs. Firan Technology Group | Laurentian Bank vs. Hammond Power Solutions |
Sylogist vs. Sangoma Technologies Corp | Sylogist vs. TECSYS Inc | Sylogist vs. Calian Technologies | Sylogist vs. Evertz Technologies Limited |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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