Correlation Between Figs and Spine Injury
Can any of the company-specific risk be diversified away by investing in both Figs and Spine Injury 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 Spine Injury into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Figs Inc and Spine Injury Solutions, you can compare the effects of market volatilities on Figs and Spine Injury 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 Spine Injury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Figs and Spine Injury.
Diversification Opportunities for Figs and Spine Injury
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Figs and Spine is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Figs Inc and Spine Injury Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Spine Injury Solutions 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 Spine Injury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Spine Injury Solutions has no effect on the direction of Figs i.e., Figs and Spine Injury go up and down completely randomly.
Pair Corralation between Figs and Spine Injury
Given the investment horizon of 90 days Figs Inc is expected to generate 7.14 times more return on investment than Spine Injury. However, Figs is 7.14 times more volatile than Spine Injury Solutions. It trades about 0.14 of its potential returns per unit of risk. Spine Injury Solutions is currently generating about -0.09 per unit of risk. If you would invest 523.00 in Figs Inc on October 10, 2024 and sell it today you would earn a total of 71.00 from holding Figs Inc or generate 13.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Figs Inc vs. Spine Injury Solutions
Performance |
Timeline |
Figs Inc |
Spine Injury Solutions |
Figs and Spine Injury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Figs and Spine Injury
The main advantage of trading using opposite Figs and Spine Injury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Figs position performs unexpectedly, Spine Injury 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 Spine Injury will offset losses from the drop in Spine Injury's long position.The idea behind Figs Inc and Spine Injury Solutions 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.Spine Injury vs. JPMorgan Fundamental Data | Spine Injury vs. Matthews China Discovery | Spine Injury vs. Davis Select International | Spine Injury vs. Dimensional ETF Trust |
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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