Correlation Between Legend Holdings and Stratasys
Can any of the company-specific risk be diversified away by investing in both Legend Holdings and Stratasys 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 Legend Holdings and Stratasys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Legend Holdings and Stratasys, you can compare the effects of market volatilities on Legend Holdings and Stratasys 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 Legend Holdings with a short position of Stratasys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Legend Holdings and Stratasys.
Diversification Opportunities for Legend Holdings and Stratasys
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Legend and Stratasys is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Legend Holdings and Stratasys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stratasys and Legend Holdings 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 Legend Holdings are associated (or correlated) with Stratasys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stratasys has no effect on the direction of Legend Holdings i.e., Legend Holdings and Stratasys go up and down completely randomly.
Pair Corralation between Legend Holdings and Stratasys
Assuming the 90 days horizon Legend Holdings is expected to generate 9.8 times less return on investment than Stratasys. But when comparing it to its historical volatility, Legend Holdings is 1.57 times less risky than Stratasys. It trades about 0.03 of its potential returns per unit of risk. Stratasys is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 646.00 in Stratasys on September 27, 2024 and sell it today you would earn a total of 261.00 from holding Stratasys or generate 40.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Legend Holdings vs. Stratasys
Performance |
Timeline |
Legend Holdings |
Stratasys |
Legend Holdings and Stratasys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Legend Holdings and Stratasys
The main advantage of trading using opposite Legend Holdings and Stratasys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Legend Holdings position performs unexpectedly, Stratasys 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 Stratasys will offset losses from the drop in Stratasys' long position.Legend Holdings vs. Arista Networks | Legend Holdings vs. Lenovo Group Limited | Legend Holdings vs. Lenovo Group Limited | Legend Holdings vs. Acer Incorporated |
Stratasys vs. Arista Networks | Stratasys vs. Lenovo Group Limited | Stratasys vs. Lenovo Group Limited | Stratasys vs. Legend Holdings |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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