Correlation Between Alaska Energy and Sangoma Technologies
Can any of the company-specific risk be diversified away by investing in both Alaska Energy 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 Alaska Energy and Sangoma Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alaska Energy Metals and Sangoma Technologies Corp, you can compare the effects of market volatilities on Alaska Energy 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 Alaska Energy with a short position of Sangoma Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alaska Energy and Sangoma Technologies.
Diversification Opportunities for Alaska Energy and Sangoma Technologies
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Alaska and Sangoma is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Alaska Energy Metals 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 Alaska Energy 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 Alaska Energy Metals 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 Alaska Energy i.e., Alaska Energy and Sangoma Technologies go up and down completely randomly.
Pair Corralation between Alaska Energy and Sangoma Technologies
Assuming the 90 days trading horizon Alaska Energy Metals is expected to generate 2.57 times more return on investment than Sangoma Technologies. However, Alaska Energy is 2.57 times more volatile than Sangoma Technologies Corp. It trades about 0.03 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 11.00 in Alaska Energy Metals on December 30, 2024 and sell it today you would earn a total of 0.00 from holding Alaska Energy Metals or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alaska Energy Metals vs. Sangoma Technologies Corp
Performance |
Timeline |
Alaska Energy Metals |
Sangoma Technologies Corp |
Alaska Energy and Sangoma Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alaska Energy and Sangoma Technologies
The main advantage of trading using opposite Alaska Energy and Sangoma Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alaska Energy 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.Alaska Energy vs. MAG Silver Corp | Alaska Energy vs. Bausch Health Companies | Alaska Energy vs. Canlan Ice Sports | Alaska Energy vs. NeXGold Mining 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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