Correlation Between Okta and Infosys
Can any of the company-specific risk be diversified away by investing in both Okta 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 Okta and Infosys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Okta Inc and Infosys Ltd ADR, you can compare the effects of market volatilities on Okta 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 Okta with a short position of Infosys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Okta and Infosys.
Diversification Opportunities for Okta and Infosys
Modest diversification
The 3 months correlation between Okta and Infosys is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Okta Inc and Infosys Ltd ADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infosys Ltd ADR and Okta 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 Okta Inc 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 Ltd ADR has no effect on the direction of Okta i.e., Okta and Infosys go up and down completely randomly.
Pair Corralation between Okta and Infosys
Given the investment horizon of 90 days Okta is expected to generate 1.02 times less return on investment than Infosys. In addition to that, Okta is 1.16 times more volatile than Infosys Ltd ADR. It trades about 0.11 of its total potential returns per unit of risk. Infosys Ltd ADR is currently generating about 0.13 per unit of volatility. If you would invest 2,177 in Infosys Ltd ADR on August 30, 2024 and sell it today you would earn a total of 97.00 from holding Infosys Ltd ADR or generate 4.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Okta Inc vs. Infosys Ltd ADR
Performance |
Timeline |
Okta Inc |
Infosys Ltd ADR |
Okta and Infosys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Okta and Infosys
The main advantage of trading using opposite Okta and Infosys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Okta 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.The idea behind Okta Inc and Infosys Ltd ADR pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Infosys vs. The Hackett Group | Infosys vs. Nayax | Infosys vs. Formula Systems 1985 | Infosys vs. Information Services Group |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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