Correlation Between Cato and Fbc Hldg
Can any of the company-specific risk be diversified away by investing in both Cato and Fbc Hldg 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 Cato and Fbc Hldg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cato Corporation and Fbc Hldg, you can compare the effects of market volatilities on Cato and Fbc Hldg 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 Cato with a short position of Fbc Hldg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cato and Fbc Hldg.
Diversification Opportunities for Cato and Fbc Hldg
Very weak diversification
The 3 months correlation between Cato and Fbc is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Cato Corp. and Fbc Hldg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fbc Hldg and Cato 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 Cato Corporation are associated (or correlated) with Fbc Hldg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fbc Hldg has no effect on the direction of Cato i.e., Cato and Fbc Hldg go up and down completely randomly.
Pair Corralation between Cato and Fbc Hldg
Given the investment horizon of 90 days Cato Corporation is expected to under-perform the Fbc Hldg. But the stock apears to be less risky and, when comparing its historical volatility, Cato Corporation is 86.27 times less risky than Fbc Hldg. The stock trades about -0.07 of its potential returns per unit of risk. The Fbc Hldg is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 0.01 in Fbc Hldg on September 1, 2024 and sell it today you would earn a total of 0.00 from holding Fbc Hldg or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.34% |
Values | Daily Returns |
Cato Corp. vs. Fbc Hldg
Performance |
Timeline |
Cato |
Fbc Hldg |
Cato and Fbc Hldg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cato and Fbc Hldg
The main advantage of trading using opposite Cato and Fbc Hldg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cato position performs unexpectedly, Fbc Hldg 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 Fbc Hldg will offset losses from the drop in Fbc Hldg's long position.The idea behind Cato Corporation and Fbc Hldg 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.Fbc Hldg vs. Cato Corporation | Fbc Hldg vs. Zumiez Inc | Fbc Hldg vs. Digital Brands Group | Fbc Hldg vs. Buckle Inc |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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