Correlation Between Sangoma Technologies and Laurentian Bank
Can any of the company-specific risk be diversified away by investing in both Sangoma Technologies and Laurentian Bank 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 Sangoma Technologies and Laurentian Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sangoma Technologies Corp and Laurentian Bank, you can compare the effects of market volatilities on Sangoma Technologies and Laurentian Bank 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 Sangoma Technologies with a short position of Laurentian Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sangoma Technologies and Laurentian Bank.
Diversification Opportunities for Sangoma Technologies and Laurentian Bank
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sangoma and Laurentian is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Sangoma Technologies Corp and Laurentian Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Laurentian Bank and Sangoma Technologies 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 Sangoma Technologies Corp are associated (or correlated) with Laurentian Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Laurentian Bank has no effect on the direction of Sangoma Technologies i.e., Sangoma Technologies and Laurentian Bank go up and down completely randomly.
Pair Corralation between Sangoma Technologies and Laurentian Bank
Assuming the 90 days trading horizon Sangoma Technologies Corp is expected to generate 1.96 times more return on investment than Laurentian Bank. However, Sangoma Technologies is 1.96 times more volatile than Laurentian Bank. It trades about 0.17 of its potential returns per unit of risk. Laurentian Bank is currently generating about 0.2 per unit of risk. If you would invest 736.00 in Sangoma Technologies Corp on September 13, 2024 and sell it today you would earn a total of 208.00 from holding Sangoma Technologies Corp or generate 28.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sangoma Technologies Corp vs. Laurentian Bank
Performance |
Timeline |
Sangoma Technologies Corp |
Laurentian Bank |
Sangoma Technologies and Laurentian Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sangoma Technologies and Laurentian Bank
The main advantage of trading using opposite Sangoma Technologies and Laurentian Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sangoma Technologies position performs unexpectedly, Laurentian Bank 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 Laurentian Bank will offset losses from the drop in Laurentian Bank's long position.Sangoma Technologies vs. Walmart Inc CDR | Sangoma Technologies vs. Amazon CDR | Sangoma Technologies vs. Berkshire Hathaway CDR | Sangoma Technologies 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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