Correlation Between Propel Holdings and Sangoma Technologies
Can any of the company-specific risk be diversified away by investing in both Propel Holdings and Sangoma Technologies 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 Propel Holdings and Sangoma Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Propel Holdings and Sangoma Technologies Corp, you can compare the effects of market volatilities on Propel Holdings and Sangoma Technologies 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 Propel Holdings with a short position of Sangoma Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Propel Holdings and Sangoma Technologies.
Diversification Opportunities for Propel Holdings and Sangoma Technologies
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Propel and Sangoma is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Propel Holdings and Sangoma Technologies Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sangoma Technologies Corp and Propel Holdings 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 Propel Holdings are associated (or correlated) with Sangoma Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sangoma Technologies Corp has no effect on the direction of Propel Holdings i.e., Propel Holdings and Sangoma Technologies go up and down completely randomly.
Pair Corralation between Propel Holdings and Sangoma Technologies
Assuming the 90 days trading horizon Propel Holdings is expected to generate 1.28 times more return on investment than Sangoma Technologies. However, Propel Holdings is 1.28 times more volatile than Sangoma Technologies Corp. It trades about -0.17 of its potential returns per unit of risk. Sangoma Technologies Corp is currently generating about -0.24 per unit of risk. If you would invest 3,646 in Propel Holdings on December 30, 2024 and sell it today you would lose (1,335) from holding Propel Holdings or give up 36.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Propel Holdings vs. Sangoma Technologies Corp
Performance |
Timeline |
Propel Holdings |
Sangoma Technologies Corp |
Propel Holdings and Sangoma Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Propel Holdings and Sangoma Technologies
The main advantage of trading using opposite Propel Holdings and Sangoma Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Propel Holdings position performs unexpectedly, Sangoma Technologies 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 Sangoma Technologies will offset losses from the drop in Sangoma Technologies' long position.Propel Holdings vs. Sangoma Technologies Corp | Propel Holdings vs. Vitalhub Corp | Propel Holdings vs. Converge Technology Solutions |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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