Correlation Between Stratasys and Ecolab
Can any of the company-specific risk be diversified away by investing in both Stratasys and Ecolab 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 Stratasys and Ecolab into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stratasys and Ecolab Inc, you can compare the effects of market volatilities on Stratasys and Ecolab 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 Stratasys with a short position of Ecolab. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stratasys and Ecolab.
Diversification Opportunities for Stratasys and Ecolab
Excellent diversification
The 3 months correlation between Stratasys and Ecolab is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Stratasys and Ecolab Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ecolab Inc and Stratasys 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 Stratasys are associated (or correlated) with Ecolab. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ecolab Inc has no effect on the direction of Stratasys i.e., Stratasys and Ecolab go up and down completely randomly.
Pair Corralation between Stratasys and Ecolab
Given the investment horizon of 90 days Stratasys is expected to generate 4.7 times more return on investment than Ecolab. However, Stratasys is 4.7 times more volatile than Ecolab Inc. It trades about 0.05 of its potential returns per unit of risk. Ecolab Inc is currently generating about -0.11 per unit of risk. If you would invest 831.00 in Stratasys on September 29, 2024 and sell it today you would earn a total of 84.00 from holding Stratasys or generate 10.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stratasys vs. Ecolab Inc
Performance |
Timeline |
Stratasys |
Ecolab Inc |
Stratasys and Ecolab Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stratasys and Ecolab
The main advantage of trading using opposite Stratasys and Ecolab positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stratasys position performs unexpectedly, Ecolab 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 Ecolab will offset losses from the drop in Ecolab's long position.Stratasys vs. Nano Dimension | Stratasys vs. IONQ Inc | Stratasys vs. D Wave Quantum | Stratasys vs. Desktop Metal |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |