Correlation Between JPMorgan Chase and BankFirst Capital
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase and BankFirst Capital 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 JPMorgan Chase and BankFirst Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JPMorgan Chase Co and BankFirst Capital, you can compare the effects of market volatilities on JPMorgan Chase and BankFirst Capital 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 JPMorgan Chase with a short position of BankFirst Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and BankFirst Capital.
Diversification Opportunities for JPMorgan Chase and BankFirst Capital
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JPMorgan and BankFirst is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and BankFirst Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BankFirst Capital and JPMorgan Chase 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 JPMorgan Chase Co are associated (or correlated) with BankFirst Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BankFirst Capital has no effect on the direction of JPMorgan Chase i.e., JPMorgan Chase and BankFirst Capital go up and down completely randomly.
Pair Corralation between JPMorgan Chase and BankFirst Capital
Considering the 90-day investment horizon JPMorgan Chase Co is expected to under-perform the BankFirst Capital. But the stock apears to be less risky and, when comparing its historical volatility, JPMorgan Chase Co is 1.83 times less risky than BankFirst Capital. The stock trades about -0.15 of its potential returns per unit of risk. The BankFirst Capital is currently generating about 0.4 of returns per unit of risk over similar time horizon. If you would invest 3,723 in BankFirst Capital on September 18, 2024 and sell it today you would earn a total of 477.00 from holding BankFirst Capital or generate 12.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
JPMorgan Chase Co vs. BankFirst Capital
Performance |
Timeline |
JPMorgan Chase |
BankFirst Capital |
JPMorgan Chase and BankFirst Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPMorgan Chase and BankFirst Capital
The main advantage of trading using opposite JPMorgan Chase and BankFirst Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase position performs unexpectedly, BankFirst Capital 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 BankFirst Capital will offset losses from the drop in BankFirst Capital's long position.JPMorgan Chase vs. Citigroup | JPMorgan Chase vs. Wells Fargo | JPMorgan Chase vs. Toronto Dominion Bank | JPMorgan Chase vs. Nu Holdings |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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