Correlation Between Figs and Clear Secure
Can any of the company-specific risk be diversified away by investing in both Figs and Clear Secure 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 Figs and Clear Secure into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Figs Inc and Clear Secure, you can compare the effects of market volatilities on Figs and Clear Secure 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 Figs with a short position of Clear Secure. Check out your portfolio center. Please also check ongoing floating volatility patterns of Figs and Clear Secure.
Diversification Opportunities for Figs and Clear Secure
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Figs and Clear is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Figs Inc and Clear Secure in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clear Secure and Figs 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 Figs Inc are associated (or correlated) with Clear Secure. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clear Secure has no effect on the direction of Figs i.e., Figs and Clear Secure go up and down completely randomly.
Pair Corralation between Figs and Clear Secure
Given the investment horizon of 90 days Figs is expected to generate 1.64 times less return on investment than Clear Secure. In addition to that, Figs is 1.29 times more volatile than Clear Secure. It trades about 0.01 of its total potential returns per unit of risk. Clear Secure is currently generating about 0.01 per unit of volatility. If you would invest 2,782 in Clear Secure on September 4, 2024 and sell it today you would lose (206.00) from holding Clear Secure or give up 7.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Figs Inc vs. Clear Secure
Performance |
Timeline |
Figs Inc |
Clear Secure |
Figs and Clear Secure Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Figs and Clear Secure
The main advantage of trading using opposite Figs and Clear Secure positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Figs position performs unexpectedly, Clear Secure 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 Clear Secure will offset losses from the drop in Clear Secure's long position.The idea behind Figs Inc and Clear Secure 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.Clear Secure vs. Braze Inc | Clear Secure vs. Enfusion | Clear Secure vs. Freshworks | Clear Secure vs. Clearwater Analytics 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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