Correlation Between Sangoma Technologies and Propel Holdings
Can any of the company-specific risk be diversified away by investing in both Sangoma Technologies and Propel Holdings 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 Propel Holdings 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 Propel Holdings, you can compare the effects of market volatilities on Sangoma Technologies and Propel Holdings 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 Propel Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sangoma Technologies and Propel Holdings.
Diversification Opportunities for Sangoma Technologies and Propel Holdings
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sangoma and Propel is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Sangoma Technologies Corp and Propel Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Propel Holdings 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 Propel Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Propel Holdings has no effect on the direction of Sangoma Technologies i.e., Sangoma Technologies and Propel Holdings go up and down completely randomly.
Pair Corralation between Sangoma Technologies and Propel Holdings
Assuming the 90 days trading horizon Sangoma Technologies Corp is expected to generate 0.73 times more return on investment than Propel Holdings. However, Sangoma Technologies Corp is 1.38 times less risky than Propel Holdings. It trades about 0.19 of its potential returns per unit of risk. Propel Holdings is currently generating about 0.13 per unit of risk. If you would invest 703.00 in Sangoma Technologies Corp on September 11, 2024 and sell it today you would earn a total of 226.00 from holding Sangoma Technologies Corp or generate 32.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sangoma Technologies Corp vs. Propel Holdings
Performance |
Timeline |
Sangoma Technologies Corp |
Propel Holdings |
Sangoma Technologies and Propel Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sangoma Technologies and Propel Holdings
The main advantage of trading using opposite Sangoma Technologies and Propel Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sangoma Technologies position performs unexpectedly, Propel Holdings 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 Propel Holdings will offset losses from the drop in Propel Holdings' long position.Sangoma Technologies vs. Apple Inc CDR | Sangoma Technologies vs. NVIDIA CDR | Sangoma Technologies vs. Microsoft Corp CDR | Sangoma Technologies vs. Amazon 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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