Correlation Between Surgical Science and Vitec Software
Can any of the company-specific risk be diversified away by investing in both Surgical Science and Vitec Software 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 Surgical Science and Vitec Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Surgical Science Sweden and Vitec Software Group, you can compare the effects of market volatilities on Surgical Science and Vitec Software 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 Surgical Science with a short position of Vitec Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of Surgical Science and Vitec Software.
Diversification Opportunities for Surgical Science and Vitec Software
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Surgical and Vitec is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Surgical Science Sweden and Vitec Software Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vitec Software Group and Surgical Science 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 Surgical Science Sweden are associated (or correlated) with Vitec Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vitec Software Group has no effect on the direction of Surgical Science i.e., Surgical Science and Vitec Software go up and down completely randomly.
Pair Corralation between Surgical Science and Vitec Software
Assuming the 90 days trading horizon Surgical Science is expected to generate 2.1 times less return on investment than Vitec Software. In addition to that, Surgical Science is 1.98 times more volatile than Vitec Software Group. It trades about 0.04 of its total potential returns per unit of risk. Vitec Software Group is currently generating about 0.18 per unit of volatility. If you would invest 50,629 in Vitec Software Group on December 1, 2024 and sell it today you would earn a total of 9,421 from holding Vitec Software Group or generate 18.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Surgical Science Sweden vs. Vitec Software Group
Performance |
Timeline |
Surgical Science Sweden |
Vitec Software Group |
Surgical Science and Vitec Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Surgical Science and Vitec Software
The main advantage of trading using opposite Surgical Science and Vitec Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Surgical Science position performs unexpectedly, Vitec Software 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 Vitec Software will offset losses from the drop in Vitec Software's long position.Surgical Science vs. BICO Group AB | Surgical Science vs. Hexatronic Group AB | Surgical Science vs. Swedencare publ AB | Surgical Science vs. MIPS AB |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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