Correlation Between LINKBANCORP and CF Bankshares
Can any of the company-specific risk be diversified away by investing in both LINKBANCORP and CF Bankshares 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 LINKBANCORP and CF Bankshares into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LINKBANCORP and CF Bankshares, you can compare the effects of market volatilities on LINKBANCORP and CF Bankshares 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 LINKBANCORP with a short position of CF Bankshares. Check out your portfolio center. Please also check ongoing floating volatility patterns of LINKBANCORP and CF Bankshares.
Diversification Opportunities for LINKBANCORP and CF Bankshares
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between LINKBANCORP and CFBK is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding LINKBANCORP and CF Bankshares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CF Bankshares and LINKBANCORP 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 LINKBANCORP are associated (or correlated) with CF Bankshares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CF Bankshares has no effect on the direction of LINKBANCORP i.e., LINKBANCORP and CF Bankshares go up and down completely randomly.
Pair Corralation between LINKBANCORP and CF Bankshares
Given the investment horizon of 90 days LINKBANCORP is expected to generate 1.37 times less return on investment than CF Bankshares. But when comparing it to its historical volatility, LINKBANCORP is 1.19 times less risky than CF Bankshares. It trades about 0.16 of its potential returns per unit of risk. CF Bankshares is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 2,141 in CF Bankshares on September 4, 2024 and sell it today you would earn a total of 671.00 from holding CF Bankshares or generate 31.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
LINKBANCORP vs. CF Bankshares
Performance |
Timeline |
LINKBANCORP |
CF Bankshares |
LINKBANCORP and CF Bankshares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LINKBANCORP and CF Bankshares
The main advantage of trading using opposite LINKBANCORP and CF Bankshares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LINKBANCORP position performs unexpectedly, CF Bankshares 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 CF Bankshares will offset losses from the drop in CF Bankshares' long position.LINKBANCORP vs. International Bancshares | LINKBANCORP vs. Finward Bancorp | LINKBANCORP vs. Community West Bancshares | LINKBANCORP vs. Aquagold International |
CF Bankshares vs. International Bancshares | CF Bankshares vs. Finward Bancorp | CF Bankshares vs. Community West Bancshares | CF Bankshares vs. Aquagold International |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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