Correlation Between Infosys and Payoneer Global
Can any of the company-specific risk be diversified away by investing in both Infosys and Payoneer Global 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 Infosys and Payoneer Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Infosys Ltd ADR and Payoneer Global, you can compare the effects of market volatilities on Infosys and Payoneer Global 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 Infosys with a short position of Payoneer Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infosys and Payoneer Global.
Diversification Opportunities for Infosys and Payoneer Global
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Infosys and Payoneer is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Infosys Ltd ADR and Payoneer Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Payoneer Global and Infosys 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 Infosys Ltd ADR are associated (or correlated) with Payoneer Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Payoneer Global has no effect on the direction of Infosys i.e., Infosys and Payoneer Global go up and down completely randomly.
Pair Corralation between Infosys and Payoneer Global
Given the investment horizon of 90 days Infosys is expected to generate 11.73 times less return on investment than Payoneer Global. But when comparing it to its historical volatility, Infosys Ltd ADR is 2.23 times less risky than Payoneer Global. It trades about 0.03 of its potential returns per unit of risk. Payoneer Global is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 753.00 in Payoneer Global on September 30, 2024 and sell it today you would earn a total of 248.00 from holding Payoneer Global or generate 32.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Infosys Ltd ADR vs. Payoneer Global
Performance |
Timeline |
Infosys Ltd ADR |
Payoneer Global |
Infosys and Payoneer Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Infosys and Payoneer Global
The main advantage of trading using opposite Infosys and Payoneer Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Infosys position performs unexpectedly, Payoneer Global 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 Payoneer Global will offset losses from the drop in Payoneer Global's long position.Infosys vs. Cognizant Technology Solutions | Infosys vs. WNS Holdings | Infosys vs. CLARIVATE PLC | Infosys vs. Gartner |
Payoneer Global vs. Lesaka Technologies | Payoneer Global vs. CSG Systems International | Payoneer Global vs. OneSpan | Payoneer Global vs. Sangoma Technologies Corp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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