Correlation Between SPS Commerce and STAAR Surgical
Can any of the company-specific risk be diversified away by investing in both SPS Commerce and STAAR Surgical 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 SPS Commerce and STAAR Surgical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPS Commerce and STAAR Surgical, you can compare the effects of market volatilities on SPS Commerce and STAAR Surgical 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 SPS Commerce with a short position of STAAR Surgical. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPS Commerce and STAAR Surgical.
Diversification Opportunities for SPS Commerce and STAAR Surgical
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SPS and STAAR is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding SPS Commerce and STAAR Surgical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STAAR Surgical and SPS Commerce 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 SPS Commerce are associated (or correlated) with STAAR Surgical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STAAR Surgical has no effect on the direction of SPS Commerce i.e., SPS Commerce and STAAR Surgical go up and down completely randomly.
Pair Corralation between SPS Commerce and STAAR Surgical
Given the investment horizon of 90 days SPS Commerce is expected to under-perform the STAAR Surgical. But the stock apears to be less risky and, when comparing its historical volatility, SPS Commerce is 1.51 times less risky than STAAR Surgical. The stock trades about -0.01 of its potential returns per unit of risk. The STAAR Surgical is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,826 in STAAR Surgical on April 30, 2025 and sell it today you would earn a total of 99.00 from holding STAAR Surgical or generate 5.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SPS Commerce vs. STAAR Surgical
Performance |
Timeline |
SPS Commerce |
STAAR Surgical |
SPS Commerce and STAAR Surgical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPS Commerce and STAAR Surgical
The main advantage of trading using opposite SPS Commerce and STAAR Surgical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPS Commerce position performs unexpectedly, STAAR Surgical 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 STAAR Surgical will offset losses from the drop in STAAR Surgical's long position.SPS Commerce vs. Qualys Inc | SPS Commerce vs. NetScout Systems | SPS Commerce vs. Evertec | SPS Commerce vs. CSG Systems International |
STAAR Surgical vs. ResMed Inc | STAAR Surgical vs. West Pharmaceutical Services | STAAR Surgical vs. ICU Medical | STAAR Surgical vs. Merit Medical Systems |
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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