Correlation Between FS Bancorp and First Northwest
Can any of the company-specific risk be diversified away by investing in both FS Bancorp and First Northwest 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 First Northwest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FS Bancorp and First Northwest Bancorp, you can compare the effects of market volatilities on FS Bancorp and First Northwest 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 First Northwest. Check out your portfolio center. Please also check ongoing floating volatility patterns of FS Bancorp and First Northwest.
Diversification Opportunities for FS Bancorp and First Northwest
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between FSBW and First is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding FS Bancorp and First Northwest Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Northwest Bancorp 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 First Northwest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Northwest Bancorp has no effect on the direction of FS Bancorp i.e., FS Bancorp and First Northwest go up and down completely randomly.
Pair Corralation between FS Bancorp and First Northwest
Given the investment horizon of 90 days FS Bancorp is expected to generate 1.06 times more return on investment than First Northwest. However, FS Bancorp is 1.06 times more volatile than First Northwest Bancorp. It trades about 0.05 of its potential returns per unit of risk. First Northwest Bancorp is currently generating about -0.01 per unit of risk. If you would invest 3,198 in FS Bancorp on August 24, 2024 and sell it today you would earn a total of 1,492 from holding FS Bancorp or generate 46.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
FS Bancorp vs. First Northwest Bancorp
Performance |
| Timeline |
| FS Bancorp |
| First Northwest Bancorp |
FS Bancorp and First Northwest Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FS Bancorp and First Northwest
The main advantage of trading using opposite FS Bancorp and First Northwest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FS Bancorp position performs unexpectedly, First Northwest 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 First Northwest will offset losses from the drop in First Northwest'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 |
| First Northwest vs. Home Federal Bancorp | First Northwest vs. First Financial Northwest | First Northwest vs. First Capital | First Northwest vs. Community West Bancshares |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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