Correlation Between Barloworld and AppTech Payments
Can any of the company-specific risk be diversified away by investing in both Barloworld and AppTech Payments 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 Barloworld and AppTech Payments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barloworld Ltd ADR and AppTech Payments Corp, you can compare the effects of market volatilities on Barloworld and AppTech Payments 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 Barloworld with a short position of AppTech Payments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barloworld and AppTech Payments.
Diversification Opportunities for Barloworld and AppTech Payments
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Barloworld and AppTech is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Barloworld Ltd ADR and AppTech Payments Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AppTech Payments Corp and Barloworld 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 Barloworld Ltd ADR are associated (or correlated) with AppTech Payments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AppTech Payments Corp has no effect on the direction of Barloworld i.e., Barloworld and AppTech Payments go up and down completely randomly.
Pair Corralation between Barloworld and AppTech Payments
Assuming the 90 days horizon Barloworld Ltd ADR is expected to under-perform the AppTech Payments. But the pink sheet apears to be less risky and, when comparing its historical volatility, Barloworld Ltd ADR is 3.18 times less risky than AppTech Payments. The pink sheet trades about -0.02 of its potential returns per unit of risk. The AppTech Payments Corp is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 11.00 in AppTech Payments Corp on December 30, 2024 and sell it today you would earn a total of 8.00 from holding AppTech Payments Corp or generate 72.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.16% |
Values | Daily Returns |
Barloworld Ltd ADR vs. AppTech Payments Corp
Performance |
Timeline |
Barloworld ADR |
AppTech Payments Corp |
Barloworld and AppTech Payments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barloworld and AppTech Payments
The main advantage of trading using opposite Barloworld and AppTech Payments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barloworld position performs unexpectedly, AppTech Payments 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 AppTech Payments will offset losses from the drop in AppTech Payments' long position.Barloworld vs. Hertz Global Holdings | Barloworld vs. United Rentals | Barloworld vs. Ryder System | Barloworld vs. Herc Holdings |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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