Correlation Between Accenture Plc and Infosys
Can any of the company-specific risk be diversified away by investing in both Accenture Plc and Infosys 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 Accenture Plc and Infosys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Accenture plc and Infosys Limited, you can compare the effects of market volatilities on Accenture Plc and Infosys 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 Accenture Plc with a short position of Infosys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Accenture Plc and Infosys.
Diversification Opportunities for Accenture Plc and Infosys
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Accenture and Infosys is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Accenture plc and Infosys Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infosys Limited and Accenture Plc 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 Accenture plc are associated (or correlated) with Infosys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Infosys Limited has no effect on the direction of Accenture Plc i.e., Accenture Plc and Infosys go up and down completely randomly.
Pair Corralation between Accenture Plc and Infosys
Assuming the 90 days horizon Accenture Plc is expected to generate 2.07 times less return on investment than Infosys. But when comparing it to its historical volatility, Accenture plc is 1.75 times less risky than Infosys. It trades about 0.05 of its potential returns per unit of risk. Infosys Limited is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,580 in Infosys Limited on September 23, 2024 and sell it today you would earn a total of 600.00 from holding Infosys Limited or generate 37.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Accenture plc vs. Infosys Limited
Performance |
Timeline |
Accenture plc |
Infosys Limited |
Accenture Plc and Infosys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Accenture Plc and Infosys
The main advantage of trading using opposite Accenture Plc and Infosys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Accenture Plc position performs unexpectedly, Infosys 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 Infosys will offset losses from the drop in Infosys' long position.Accenture Plc vs. International Business Machines | Accenture Plc vs. Infosys Limited | Accenture Plc vs. Cognizant Technology Solutions | Accenture Plc vs. AMADEUS IT GRP |
Infosys vs. Accenture plc | Infosys vs. International Business Machines | Infosys vs. Cognizant Technology Solutions | Infosys vs. AMADEUS IT GRP |
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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