Correlation Between CSP and BOS Better
Can any of the company-specific risk be diversified away by investing in both CSP and BOS Better 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 CSP and BOS Better into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CSP Inc and BOS Better Online, you can compare the effects of market volatilities on CSP and BOS Better 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 CSP with a short position of BOS Better. Check out your portfolio center. Please also check ongoing floating volatility patterns of CSP and BOS Better.
Diversification Opportunities for CSP and BOS Better
-0.88 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CSP and BOS is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding CSP Inc and BOS Better Online in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BOS Better Online and CSP 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 CSP Inc are associated (or correlated) with BOS Better. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BOS Better Online has no effect on the direction of CSP i.e., CSP and BOS Better go up and down completely randomly.
Pair Corralation between CSP and BOS Better
Given the investment horizon of 90 days CSP Inc is expected to under-perform the BOS Better. In addition to that, CSP is 1.23 times more volatile than BOS Better Online. It trades about -0.16 of its total potential returns per unit of risk. BOS Better Online is currently generating about 0.15 per unit of volatility. If you would invest 366.00 in BOS Better Online on May 5, 2025 and sell it today you would earn a total of 121.00 from holding BOS Better Online or generate 33.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CSP Inc vs. BOS Better Online
Performance |
Timeline |
CSP Inc |
BOS Better Online |
CSP and BOS Better Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CSP and BOS Better
The main advantage of trading using opposite CSP and BOS Better positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CSP position performs unexpectedly, BOS Better 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 BOS Better will offset losses from the drop in BOS Better's long position.The idea behind CSP Inc and BOS Better Online pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.BOS Better vs. Lantronix | BOS Better vs. KVH Industries | BOS Better vs. Silicom | BOS Better vs. Ituran Location and |
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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