Correlation Between Aelf and Omni Network
Can any of the company-specific risk be diversified away by investing in both Aelf and Omni Network 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 Aelf and Omni Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between aelf and Omni Network, you can compare the effects of market volatilities on Aelf and Omni Network 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 Aelf with a short position of Omni Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aelf and Omni Network.
Diversification Opportunities for Aelf and Omni Network
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Aelf and Omni is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding aelf and Omni Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Omni Network and Aelf 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 aelf are associated (or correlated) with Omni Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Omni Network has no effect on the direction of Aelf i.e., Aelf and Omni Network go up and down completely randomly.
Pair Corralation between Aelf and Omni Network
Assuming the 90 days trading horizon Aelf is expected to generate 11.52 times less return on investment than Omni Network. But when comparing it to its historical volatility, aelf is 12.08 times less risky than Omni Network. It trades about 0.16 of its potential returns per unit of risk. Omni Network is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 103.00 in Omni Network on September 2, 2024 and sell it today you would earn a total of 1,165 from holding Omni Network or generate 1131.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
aelf vs. Omni Network
Performance |
Timeline |
aelf |
Omni Network |
Aelf and Omni Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aelf and Omni Network
The main advantage of trading using opposite Aelf and Omni Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aelf position performs unexpectedly, Omni Network 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 Omni Network will offset losses from the drop in Omni Network's long position.The idea behind aelf and Omni Network pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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