Correlation Between Sangoma Technologies and DGTL Holdings
Can any of the company-specific risk be diversified away by investing in both Sangoma Technologies and DGTL 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 DGTL 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 DGTL Holdings, you can compare the effects of market volatilities on Sangoma Technologies and DGTL 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 DGTL Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sangoma Technologies and DGTL Holdings.
Diversification Opportunities for Sangoma Technologies and DGTL Holdings
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sangoma and DGTL is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Sangoma Technologies Corp and DGTL Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DGTL 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 DGTL Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DGTL Holdings has no effect on the direction of Sangoma Technologies i.e., Sangoma Technologies and DGTL Holdings go up and down completely randomly.
Pair Corralation between Sangoma Technologies and DGTL Holdings
Assuming the 90 days trading horizon Sangoma Technologies Corp is expected to generate 0.09 times more return on investment than DGTL Holdings. However, Sangoma Technologies Corp is 10.56 times less risky than DGTL Holdings. It trades about 0.32 of its potential returns per unit of risk. DGTL Holdings is currently generating about -0.27 per unit of risk. If you would invest 978.00 in Sangoma Technologies Corp on October 20, 2024 and sell it today you would earn a total of 87.00 from holding Sangoma Technologies Corp or generate 8.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 40.0% |
Values | Daily Returns |
Sangoma Technologies Corp vs. DGTL Holdings
Performance |
Timeline |
Sangoma Technologies Corp |
DGTL Holdings |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Sangoma Technologies and DGTL Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sangoma Technologies and DGTL Holdings
The main advantage of trading using opposite Sangoma Technologies and DGTL Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sangoma Technologies position performs unexpectedly, DGTL 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 DGTL Holdings will offset losses from the drop in DGTL Holdings' long position.Sangoma Technologies vs. Sylogist | Sangoma Technologies vs. Converge Technology Solutions | Sangoma Technologies vs. Propel Holdings | Sangoma Technologies vs. Vitalhub Corp |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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