Correlation Between Cardano and FS Bancorp
Can any of the company-specific risk be diversified away by investing in both Cardano and FS Bancorp 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 Cardano and FS Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cardano and FS Bancorp, you can compare the effects of market volatilities on Cardano and FS Bancorp 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 Cardano with a short position of FS Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cardano and FS Bancorp.
Diversification Opportunities for Cardano and FS Bancorp
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cardano and FXLG is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Cardano and FS Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FS Bancorp and Cardano 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 Cardano are associated (or correlated) with FS Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FS Bancorp has no effect on the direction of Cardano i.e., Cardano and FS Bancorp go up and down completely randomly.
Pair Corralation between Cardano and FS Bancorp
Assuming the 90 days trading horizon Cardano is expected to generate 2.16 times more return on investment than FS Bancorp. However, Cardano is 2.16 times more volatile than FS Bancorp. It trades about 0.08 of its potential returns per unit of risk. FS Bancorp is currently generating about 0.02 per unit of risk. If you would invest 39.00 in Cardano on November 2, 2024 and sell it today you would earn a total of 55.00 from holding Cardano or generate 141.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 80.11% |
Values | Daily Returns |
Cardano vs. FS Bancorp
Performance |
Timeline |
Cardano |
FS Bancorp |
Cardano and FS Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cardano and FS Bancorp
The main advantage of trading using opposite Cardano and FS Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cardano position performs unexpectedly, FS Bancorp 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 FS Bancorp will offset losses from the drop in FS Bancorp's long position.The idea behind Cardano and FS Bancorp 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.FS Bancorp vs. Eastern Michigan Financial | FS Bancorp vs. Grand River Commerce | FS Bancorp vs. Bank of Botetourt | FS Bancorp vs. AmeriServ Financial |
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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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