Correlation Between Financial Institutions and UMB Financial
Can any of the company-specific risk be diversified away by investing in both Financial Institutions and UMB Financial 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 Financial Institutions and UMB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Institutions and UMB Financial, you can compare the effects of market volatilities on Financial Institutions and UMB Financial 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 Financial Institutions with a short position of UMB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Institutions and UMB Financial.
Diversification Opportunities for Financial Institutions and UMB Financial
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Financial and UMB is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Financial Institutions and UMB Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMB Financial and Financial Institutions 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 Financial Institutions are associated (or correlated) with UMB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UMB Financial has no effect on the direction of Financial Institutions i.e., Financial Institutions and UMB Financial go up and down completely randomly.
Pair Corralation between Financial Institutions and UMB Financial
Given the investment horizon of 90 days Financial Institutions is expected to generate 3.26 times less return on investment than UMB Financial. In addition to that, Financial Institutions is 1.12 times more volatile than UMB Financial. It trades about 0.04 of its total potential returns per unit of risk. UMB Financial is currently generating about 0.15 per unit of volatility. If you would invest 10,319 in UMB Financial on August 30, 2024 and sell it today you would earn a total of 2,286 from holding UMB Financial or generate 22.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Institutions vs. UMB Financial
Performance |
Timeline |
Financial Institutions |
UMB Financial |
Financial Institutions and UMB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Institutions and UMB Financial
The main advantage of trading using opposite Financial Institutions and UMB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Institutions position performs unexpectedly, UMB Financial 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 UMB Financial will offset losses from the drop in UMB Financial's long position.Financial Institutions vs. First Community | Financial Institutions vs. Community West Bancshares | Financial Institutions vs. First Financial Northwest | Financial Institutions vs. First Northwest Bancorp |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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