Correlation Between New Relic and Confluent
Can any of the company-specific risk be diversified away by investing in both New Relic and Confluent 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 New Relic and Confluent into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Relic and Confluent, you can compare the effects of market volatilities on New Relic and Confluent 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 New Relic with a short position of Confluent. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Relic and Confluent.
Diversification Opportunities for New Relic and Confluent
Very good diversification
The 3 months correlation between New and Confluent is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding New Relic and Confluent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Confluent and New Relic 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 New Relic are associated (or correlated) with Confluent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Confluent has no effect on the direction of New Relic i.e., New Relic and Confluent go up and down completely randomly.
Pair Corralation between New Relic and Confluent
Given the investment horizon of 90 days New Relic is expected to generate 0.6 times more return on investment than Confluent. However, New Relic is 1.67 times less risky than Confluent. It trades about 0.08 of its potential returns per unit of risk. Confluent is currently generating about 0.04 per unit of risk. If you would invest 5,562 in New Relic on September 19, 2024 and sell it today you would earn a total of 1,602 from holding New Relic or generate 28.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 28.63% |
Values | Daily Returns |
New Relic vs. Confluent
Performance |
Timeline |
New Relic |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Confluent |
New Relic and Confluent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Relic and Confluent
The main advantage of trading using opposite New Relic and Confluent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Relic position performs unexpectedly, Confluent 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 Confluent will offset losses from the drop in Confluent's long position.The idea behind New Relic and Confluent 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.Confluent vs. Evertec | Confluent vs. NetScout Systems | Confluent vs. CSG Systems International | Confluent vs. Tenable Holdings |
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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