Correlation Between Okta and First Trust
Can any of the company-specific risk be diversified away by investing in both Okta and First Trust 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 First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Okta Inc and First Trust High, you can compare the effects of market volatilities on Okta and First Trust 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 First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Okta and First Trust.
Diversification Opportunities for Okta and First Trust
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Okta and First is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Okta Inc and First Trust High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust High 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 First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust High has no effect on the direction of Okta i.e., Okta and First Trust go up and down completely randomly.
Pair Corralation between Okta and First Trust
Given the investment horizon of 90 days Okta Inc is expected to under-perform the First Trust. In addition to that, Okta is 4.12 times more volatile than First Trust High. It trades about -0.04 of its total potential returns per unit of risk. First Trust High is currently generating about 0.14 per unit of volatility. If you would invest 1,331 in First Trust High on August 28, 2024 and sell it today you would earn a total of 142.00 from holding First Trust High or generate 10.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Okta Inc vs. First Trust High
Performance |
| Timeline |
| Okta Inc |
| First Trust High |
Okta and First Trust Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Okta and First Trust
The main advantage of trading using opposite Okta and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Okta position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.The idea behind Okta Inc and First Trust High 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.| First Trust vs. Invesco High Income | First Trust vs. MFS Investment Grade | First Trust vs. Eaton Vance National | First Trust vs. DTF Tax Free |
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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