Correlation Between Oracle Financial and Infosys
Can any of the company-specific risk be diversified away by investing in both Oracle Financial 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 Oracle Financial and Infosys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oracle Financial Services and Infosys Limited, you can compare the effects of market volatilities on Oracle Financial 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 Oracle Financial with a short position of Infosys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oracle Financial and Infosys.
Diversification Opportunities for Oracle Financial and Infosys
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Oracle and Infosys is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Oracle Financial Services and Infosys Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infosys Limited and Oracle Financial 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 Oracle Financial Services 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 Oracle Financial i.e., Oracle Financial and Infosys go up and down completely randomly.
Pair Corralation between Oracle Financial and Infosys
Assuming the 90 days trading horizon Oracle Financial Services is expected to generate 1.38 times more return on investment than Infosys. However, Oracle Financial is 1.38 times more volatile than Infosys Limited. It trades about 0.11 of its potential returns per unit of risk. Infosys Limited is currently generating about 0.13 per unit of risk. If you would invest 769,355 in Oracle Financial Services on April 16, 2025 and sell it today you would earn a total of 103,995 from holding Oracle Financial Services or generate 13.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.41% |
Values | Daily Returns |
Oracle Financial Services vs. Infosys Limited
Performance |
Timeline |
Oracle Financial Services |
Infosys Limited |
Oracle Financial and Infosys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oracle Financial and Infosys
The main advantage of trading using opposite Oracle Financial and Infosys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle Financial 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.Oracle Financial vs. Pondy Oxides Chemicals | Oracle Financial vs. Newgen Software Technologies | Oracle Financial vs. Rashtriya Chemicals and | Oracle Financial vs. Beta Drugs |
Infosys vs. Tata Chemicals Limited | Infosys vs. HDFC Asset Management | Infosys vs. Tips Music Limited | Infosys vs. Computer Age Management |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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