Correlation Between Agilysys and Dubber
Can any of the company-specific risk be diversified away by investing in both Agilysys and Dubber 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 Agilysys and Dubber into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agilysys and Dubber Limited, you can compare the effects of market volatilities on Agilysys and Dubber 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 Agilysys with a short position of Dubber. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agilysys and Dubber.
Diversification Opportunities for Agilysys and Dubber
Good diversification
The 3 months correlation between Agilysys and Dubber is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Agilysys and Dubber Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dubber Limited and Agilysys 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 Agilysys are associated (or correlated) with Dubber. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dubber Limited has no effect on the direction of Agilysys i.e., Agilysys and Dubber go up and down completely randomly.
Pair Corralation between Agilysys and Dubber
Given the investment horizon of 90 days Agilysys is expected to generate 35.25 times less return on investment than Dubber. But when comparing it to its historical volatility, Agilysys is 40.75 times less risky than Dubber. It trades about 0.13 of its potential returns per unit of risk. Dubber Limited is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1.94 in Dubber Limited on September 26, 2024 and sell it today you would earn a total of 0.56 from holding Dubber Limited or generate 28.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Agilysys vs. Dubber Limited
Performance |
Timeline |
Agilysys |
Dubber Limited |
Agilysys and Dubber Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agilysys and Dubber
The main advantage of trading using opposite Agilysys and Dubber positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agilysys position performs unexpectedly, Dubber 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 Dubber will offset losses from the drop in Dubber's long position.The idea behind Agilysys and Dubber Limited 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.Dubber vs. NextPlat Corp | Dubber vs. Liquid Avatar Technologies | Dubber vs. Waldencast Acquisition Corp | Dubber vs. CXApp Inc |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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