Correlation Between IRIDEX and Stereotaxis
Can any of the company-specific risk be diversified away by investing in both IRIDEX and Stereotaxis 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 IRIDEX and Stereotaxis into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IRIDEX and Stereotaxis, you can compare the effects of market volatilities on IRIDEX and Stereotaxis 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 IRIDEX with a short position of Stereotaxis. Check out your portfolio center. Please also check ongoing floating volatility patterns of IRIDEX and Stereotaxis.
Diversification Opportunities for IRIDEX and Stereotaxis
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IRIDEX and Stereotaxis is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding IRIDEX and Stereotaxis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stereotaxis and IRIDEX 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 IRIDEX are associated (or correlated) with Stereotaxis. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stereotaxis has no effect on the direction of IRIDEX i.e., IRIDEX and Stereotaxis go up and down completely randomly.
Pair Corralation between IRIDEX and Stereotaxis
Given the investment horizon of 90 days IRIDEX is expected to under-perform the Stereotaxis. In addition to that, IRIDEX is 1.44 times more volatile than Stereotaxis. It trades about -0.1 of its total potential returns per unit of risk. Stereotaxis is currently generating about -0.07 per unit of volatility. If you would invest 232.00 in Stereotaxis on December 30, 2024 and sell it today you would lose (52.00) from holding Stereotaxis or give up 22.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
IRIDEX vs. Stereotaxis
Performance |
Timeline |
IRIDEX |
Stereotaxis |
IRIDEX and Stereotaxis Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IRIDEX and Stereotaxis
The main advantage of trading using opposite IRIDEX and Stereotaxis positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IRIDEX position performs unexpectedly, Stereotaxis 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 Stereotaxis will offset losses from the drop in Stereotaxis' long position.The idea behind IRIDEX and Stereotaxis 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.Stereotaxis vs. Accuray Incorporated | Stereotaxis vs. AngioDynamics | Stereotaxis vs. AtriCure | Stereotaxis vs. EDAP TMS SA |
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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