Correlation Between A10 Network and United Parcel
Can any of the company-specific risk be diversified away by investing in both A10 Network 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 A10 Network and United Parcel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between A10 Network and United Parcel Service, you can compare the effects of market volatilities on A10 Network 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 A10 Network with a short position of United Parcel. Check out your portfolio center. Please also check ongoing floating volatility patterns of A10 Network and United Parcel.
Diversification Opportunities for A10 Network and United Parcel
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between A10 and United is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding A10 Network 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 A10 Network 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 A10 Network 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 A10 Network i.e., A10 Network and United Parcel go up and down completely randomly.
Pair Corralation between A10 Network and United Parcel
Given the investment horizon of 90 days A10 Network is expected to generate 1.26 times more return on investment than United Parcel. However, A10 Network is 1.26 times more volatile than United Parcel Service. It trades about 0.06 of its potential returns per unit of risk. United Parcel Service is currently generating about 0.0 per unit of risk. If you would invest 1,330 in A10 Network on December 29, 2023 and sell it today you would earn a total of 38.00 from holding A10 Network or generate 2.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
A10 Network vs. United Parcel Service
Performance |
Timeline |
A10 Network |
United Parcel Service |
A10 Network and United Parcel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with A10 Network and United Parcel
The main advantage of trading using opposite A10 Network and United Parcel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if A10 Network 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.A10 Network vs. Global Blue Group | A10 Network vs. Aurora Mobile | A10 Network vs. Marqeta | A10 Network vs. Nextnav Acquisition Corp |
United Parcel vs. Expeditors International | United Parcel vs. Jayud Global Logistics | United Parcel vs. Freightos Limited Warrants | United Parcel vs. JB Hunt Transport |
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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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