Correlation Between Independent Bank and Sound Financial
Can any of the company-specific risk be diversified away by investing in both Independent Bank and Sound 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 Independent Bank and Sound Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Independent Bank and Sound Financial Bancorp, you can compare the effects of market volatilities on Independent Bank and Sound 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 Independent Bank with a short position of Sound Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Independent Bank and Sound Financial.
Diversification Opportunities for Independent Bank and Sound Financial
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Independent and Sound is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Independent Bank and Sound Financial Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sound Financial Bancorp and Independent Bank 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 Independent Bank are associated (or correlated) with Sound Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sound Financial Bancorp has no effect on the direction of Independent Bank i.e., Independent Bank and Sound Financial go up and down completely randomly.
Pair Corralation between Independent Bank and Sound Financial
Given the investment horizon of 90 days Independent Bank is expected to under-perform the Sound Financial. In addition to that, Independent Bank is 1.15 times more volatile than Sound Financial Bancorp. It trades about 0.0 of its total potential returns per unit of risk. Sound Financial Bancorp is currently generating about 0.0 per unit of volatility. If you would invest 5,242 in Sound Financial Bancorp on December 30, 2024 and sell it today you would lose (53.00) from holding Sound Financial Bancorp or give up 1.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Independent Bank vs. Sound Financial Bancorp
Performance |
Timeline |
Independent Bank |
Sound Financial Bancorp |
Independent Bank and Sound Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Independent Bank and Sound Financial
The main advantage of trading using opposite Independent Bank and Sound Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Independent Bank position performs unexpectedly, Sound 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 Sound Financial will offset losses from the drop in Sound Financial's long position.Independent Bank vs. Capitol Federal Financial | Independent Bank vs. BankFinancial | Independent Bank vs. Business First Bancshares | Independent Bank vs. First 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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