Correlation Between Akva and United Parcel
Can any of the company-specific risk be diversified away by investing in both Akva and United Parcel 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 Akva and United Parcel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Akva Group and United Parcel Service, you can compare the effects of market volatilities on Akva and United Parcel 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 Akva with a short position of United Parcel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Akva and United Parcel.
Diversification Opportunities for Akva and United Parcel
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Akva and United is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Akva Group and United Parcel Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Parcel Service and Akva 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 Akva Group are associated (or correlated) with United Parcel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Parcel Service has no effect on the direction of Akva i.e., Akva and United Parcel go up and down completely randomly.
Pair Corralation between Akva and United Parcel
Assuming the 90 days trading horizon Akva Group is expected to generate 1.04 times more return on investment than United Parcel. However, Akva is 1.04 times more volatile than United Parcel Service. It trades about 0.18 of its potential returns per unit of risk. United Parcel Service is currently generating about -0.17 per unit of risk. If you would invest 6,360 in Akva Group on January 21, 2024 and sell it today you would earn a total of 480.00 from holding Akva Group or generate 7.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 90.48% |
| Values | Daily Returns |
Akva Group vs. United Parcel Service
Performance |
| Timeline |
| Akva Group |
| United Parcel Service |
Akva and United Parcel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Akva and United Parcel
The main advantage of trading using opposite Akva and United Parcel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Akva position performs unexpectedly, United Parcel 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 United Parcel will offset losses from the drop in United Parcel's long position.The idea behind Akva Group and United Parcel Service 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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