Correlation Between BC Technology and FS Bancorp
Can any of the company-specific risk be diversified away by investing in both BC Technology 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 BC Technology and FS Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BC Technology Group and FS Bancorp, you can compare the effects of market volatilities on BC Technology 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 BC Technology with a short position of FS Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of BC Technology and FS Bancorp.
Diversification Opportunities for BC Technology and FS Bancorp
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BCTCF and FSBW is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding BC Technology Group and FS Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FS Bancorp and BC Technology 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 BC Technology Group 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 BC Technology i.e., BC Technology and FS Bancorp go up and down completely randomly.
Pair Corralation between BC Technology and FS Bancorp
Assuming the 90 days horizon BC Technology Group is expected to under-perform the FS Bancorp. But the pink sheet apears to be less risky and, when comparing its historical volatility, BC Technology Group is 2.16 times less risky than FS Bancorp. The pink sheet trades about -0.07 of its potential returns per unit of risk. The FS Bancorp is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 4,187 in FS Bancorp on August 31, 2025 and sell it today you would lose (92.00) from holding FS Bancorp or give up 2.2% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 98.44% |
| Values | Daily Returns |
BC Technology Group vs. FS Bancorp
Performance |
| Timeline |
| BC Technology Group |
| FS Bancorp |
BC Technology and FS Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BC Technology and FS Bancorp
The main advantage of trading using opposite BC Technology and FS Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BC Technology 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.| BC Technology vs. National Healthcare Logistics | BC Technology vs. Grupo Carso SAB | BC Technology vs. Abingdon Health Plc | BC Technology vs. Integrated Wellness Acquisition |
| FS Bancorp vs. HEALTHeUNIVERSE | FS Bancorp vs. Vice Health and | FS Bancorp vs. Natural Health Farm | FS Bancorp vs. Cardinal Health |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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