Correlation Between First Savings and FS Bancorp
Can any of the company-specific risk be diversified away by investing in both First Savings 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 First Savings and FS Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Savings Financial and FS Bancorp, you can compare the effects of market volatilities on First Savings 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 First Savings with a short position of FS Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Savings and FS Bancorp.
Diversification Opportunities for First Savings and FS Bancorp
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between First and FSBW is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding First Savings Financial and FS Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FS Bancorp and First Savings 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 First Savings Financial 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 First Savings i.e., First Savings and FS Bancorp go up and down completely randomly.
Pair Corralation between First Savings and FS Bancorp
Given the investment horizon of 90 days First Savings Financial is expected to under-perform the FS Bancorp. But the stock apears to be less risky and, when comparing its historical volatility, First Savings Financial is 1.11 times less risky than FS Bancorp. The stock trades about -0.03 of its potential returns per unit of risk. The FS Bancorp is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3,887 in FS Bancorp on May 21, 2025 and sell it today you would earn a total of 99.00 from holding FS Bancorp or generate 2.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
First Savings Financial vs. FS Bancorp
Performance |
| Timeline |
| First Savings Financial |
| FS Bancorp |
First Savings and FS Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Savings and FS Bancorp
The main advantage of trading using opposite First Savings and FS Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Savings 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.| First Savings vs. First Capital | First Savings vs. Home Federal Bancorp | First Savings vs. FS Bancorp | First Savings vs. Eagle Bancorp Montana |
| FS Bancorp vs. Bank7 Corp | FS Bancorp vs. Chemung Financial Corp | FS Bancorp vs. ChoiceOne Financial Services | FS Bancorp vs. Eagle Bancorp Montana |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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