Correlation Between MTU Aero and Nauticus Robotics
Can any of the company-specific risk be diversified away by investing in both MTU Aero and Nauticus Robotics 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 MTU Aero and Nauticus Robotics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MTU Aero Engines and Nauticus Robotics, you can compare the effects of market volatilities on MTU Aero and Nauticus Robotics 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 MTU Aero with a short position of Nauticus Robotics. Check out your portfolio center. Please also check ongoing floating volatility patterns of MTU Aero and Nauticus Robotics.
Diversification Opportunities for MTU Aero and Nauticus Robotics
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MTU and Nauticus is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding MTU Aero Engines and Nauticus Robotics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nauticus Robotics and MTU Aero 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 MTU Aero Engines are associated (or correlated) with Nauticus Robotics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nauticus Robotics has no effect on the direction of MTU Aero i.e., MTU Aero and Nauticus Robotics go up and down completely randomly.
Pair Corralation between MTU Aero and Nauticus Robotics
Assuming the 90 days horizon MTU Aero Engines is expected to generate 0.15 times more return on investment than Nauticus Robotics. However, MTU Aero Engines is 6.66 times less risky than Nauticus Robotics. It trades about 0.13 of its potential returns per unit of risk. Nauticus Robotics is currently generating about -0.02 per unit of risk. If you would invest 16,368 in MTU Aero Engines on September 1, 2024 and sell it today you would earn a total of 607.00 from holding MTU Aero Engines or generate 3.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
MTU Aero Engines vs. Nauticus Robotics
Performance |
| Timeline |
| MTU Aero Engines |
| Nauticus Robotics |
MTU Aero and Nauticus Robotics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MTU Aero and Nauticus Robotics
The main advantage of trading using opposite MTU Aero and Nauticus Robotics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MTU Aero position performs unexpectedly, Nauticus Robotics 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 Nauticus Robotics will offset losses from the drop in Nauticus Robotics' long position.| MTU Aero vs. Firan Technology Group | MTU Aero vs. 808 Renewable Energy | MTU Aero vs. Park Electrochemical | MTU Aero vs. Innovative Solutions and |
| Nauticus Robotics vs. Park Electrochemical | Nauticus Robotics vs. National Presto Industries | Nauticus Robotics vs. Ducommun Incorporated | Nauticus Robotics vs. Innovative Solutions and |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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