Correlation Between Begistics Public and Aqua Public
Can any of the company-specific risk be diversified away by investing in both Begistics Public and Aqua Public 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 Begistics Public and Aqua Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Begistics Public and Aqua Public, you can compare the effects of market volatilities on Begistics Public and Aqua Public 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 Begistics Public with a short position of Aqua Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Begistics Public and Aqua Public.
Diversification Opportunities for Begistics Public and Aqua Public
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Begistics and Aqua is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Begistics Public and Aqua Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqua Public and Begistics Public 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 Begistics Public are associated (or correlated) with Aqua Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqua Public has no effect on the direction of Begistics Public i.e., Begistics Public and Aqua Public go up and down completely randomly.
Pair Corralation between Begistics Public and Aqua Public
Given the investment horizon of 90 days Begistics Public is expected to generate 2.33 times more return on investment than Aqua Public. However, Begistics Public is 2.33 times more volatile than Aqua Public. It trades about 0.02 of its potential returns per unit of risk. Aqua Public is currently generating about -0.11 per unit of risk. If you would invest 8.00 in Begistics Public on September 2, 2024 and sell it today you would earn a total of 0.00 from holding Begistics Public or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Begistics Public vs. Aqua Public
Performance |
| Timeline |
| Begistics Public |
| Aqua Public |
Begistics Public and Aqua Public Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Begistics Public and Aqua Public
The main advantage of trading using opposite Begistics Public and Aqua Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Begistics Public position performs unexpectedly, Aqua Public 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 Aqua Public will offset losses from the drop in Aqua Public's long position.| Begistics Public vs. Aqua Public | Begistics Public vs. Big Camera | Begistics Public vs. Grande Asset Hotels | Begistics Public vs. Green Resources Public |
| Aqua Public vs. Bangkok Chain Hospital | Aqua Public vs. Grande Asset Hotels | Aqua Public vs. Better World Green | Aqua Public vs. Chularat Hospital Public |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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