Correlation Between Microsoft and Okta
Can any of the company-specific risk be diversified away by investing in both Microsoft and Okta 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 Microsoft and Okta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Okta Inc, you can compare the effects of market volatilities on Microsoft and Okta 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 Microsoft with a short position of Okta. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Okta.
Diversification Opportunities for Microsoft and Okta
Good diversification
The 3 months correlation between Microsoft and Okta is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Okta Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Okta Inc and Microsoft 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 Microsoft are associated (or correlated) with Okta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Okta Inc has no effect on the direction of Microsoft i.e., Microsoft and Okta go up and down completely randomly.
Pair Corralation between Microsoft and Okta
Given the investment horizon of 90 days Microsoft is expected to generate 0.81 times more return on investment than Okta. However, Microsoft is 1.24 times less risky than Okta. It trades about 0.05 of its potential returns per unit of risk. Okta Inc is currently generating about 0.03 per unit of risk. If you would invest 40,862 in Microsoft on September 1, 2024 and sell it today you would earn a total of 1,484 from holding Microsoft or generate 3.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Okta Inc
Performance |
Timeline |
Microsoft |
Okta Inc |
Microsoft and Okta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Okta
The main advantage of trading using opposite Microsoft and Okta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Okta 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 Okta will offset losses from the drop in Okta's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
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 Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Other Complementary Tools
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |