Correlation Between Jfrog and Clearwater Analytics
Can any of the company-specific risk be diversified away by investing in both Jfrog and Clearwater Analytics 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 Jfrog and Clearwater Analytics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jfrog and Clearwater Analytics Holdings, you can compare the effects of market volatilities on Jfrog and Clearwater Analytics 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 Jfrog with a short position of Clearwater Analytics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jfrog and Clearwater Analytics.
Diversification Opportunities for Jfrog and Clearwater Analytics
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Jfrog and Clearwater is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Jfrog and Clearwater Analytics Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clearwater Analytics and Jfrog 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 Jfrog are associated (or correlated) with Clearwater Analytics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clearwater Analytics has no effect on the direction of Jfrog i.e., Jfrog and Clearwater Analytics go up and down completely randomly.
Pair Corralation between Jfrog and Clearwater Analytics
Given the investment horizon of 90 days Jfrog is expected to generate 0.96 times more return on investment than Clearwater Analytics. However, Jfrog is 1.04 times less risky than Clearwater Analytics. It trades about 0.07 of its potential returns per unit of risk. Clearwater Analytics Holdings is currently generating about -0.02 per unit of risk. If you would invest 2,953 in Jfrog on December 30, 2024 and sell it today you would earn a total of 247.00 from holding Jfrog or generate 8.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jfrog vs. Clearwater Analytics Holdings
Performance |
Timeline |
Jfrog |
Clearwater Analytics |
Jfrog and Clearwater Analytics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jfrog and Clearwater Analytics
The main advantage of trading using opposite Jfrog and Clearwater Analytics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jfrog position performs unexpectedly, Clearwater Analytics 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 Clearwater Analytics will offset losses from the drop in Clearwater Analytics' long position.The idea behind Jfrog and Clearwater Analytics Holdings 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.Clearwater Analytics vs. Paylocity Holdng | Clearwater Analytics vs. Alkami Technology | Clearwater Analytics vs. Expensify | Clearwater Analytics vs. Paycor HCM |
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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