Correlation Between FS Bancorp and Chemung Financial
Can any of the company-specific risk be diversified away by investing in both FS Bancorp and Chemung 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 FS Bancorp and Chemung Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FS Bancorp and Chemung Financial Corp, you can compare the effects of market volatilities on FS Bancorp and Chemung 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 FS Bancorp with a short position of Chemung Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of FS Bancorp and Chemung Financial.
Diversification Opportunities for FS Bancorp and Chemung Financial
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FSBW and Chemung is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding FS Bancorp and Chemung Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chemung Financial Corp and FS Bancorp 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 FS Bancorp are associated (or correlated) with Chemung Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chemung Financial Corp has no effect on the direction of FS Bancorp i.e., FS Bancorp and Chemung Financial go up and down completely randomly.
Pair Corralation between FS Bancorp and Chemung Financial
Given the investment horizon of 90 days FS Bancorp is expected to generate 5.7 times less return on investment than Chemung Financial. But when comparing it to its historical volatility, FS Bancorp is 1.48 times less risky than Chemung Financial. It trades about 0.03 of its potential returns per unit of risk. Chemung Financial Corp is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 4,761 in Chemung Financial Corp on November 3, 2024 and sell it today you would earn a total of 309.00 from holding Chemung Financial Corp or generate 6.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
FS Bancorp vs. Chemung Financial Corp
Performance |
| Timeline |
| FS Bancorp |
| Chemung Financial Corp |
FS Bancorp and Chemung Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FS Bancorp and Chemung Financial
The main advantage of trading using opposite FS Bancorp and Chemung Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FS Bancorp position performs unexpectedly, Chemung 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 Chemung Financial will offset losses from the drop in Chemung Financial's long position.| FS Bancorp vs. First Community | FS Bancorp vs. Oak Valley Bancorp | FS Bancorp vs. First Financial Northwest | FS Bancorp vs. ESSA Bancorp |
| Chemung Financial vs. Finward Bancorp | Chemung Financial vs. Community West Bancshares | Chemung Financial vs. First Financial Northwest | Chemung Financial vs. Oak Valley Bancorp |
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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