Correlation Between Stellar and Nextgen Food
Can any of the company-specific risk be diversified away by investing in both Stellar and Nextgen Food 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 Stellar and Nextgen Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stellar and Nextgen Food Robotics, you can compare the effects of market volatilities on Stellar and Nextgen Food 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 Stellar with a short position of Nextgen Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stellar and Nextgen Food.
Diversification Opportunities for Stellar and Nextgen Food
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Stellar and Nextgen is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Stellar and Nextgen Food Robotics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nextgen Food Robotics and Stellar 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 Stellar are associated (or correlated) with Nextgen Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nextgen Food Robotics has no effect on the direction of Stellar i.e., Stellar and Nextgen Food go up and down completely randomly.
Pair Corralation between Stellar and Nextgen Food
Assuming the 90 days trading horizon Stellar is expected to generate 2.23 times less return on investment than Nextgen Food. But when comparing it to its historical volatility, Stellar is 2.41 times less risky than Nextgen Food. It trades about 0.11 of its potential returns per unit of risk. Nextgen Food Robotics is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 3.40 in Nextgen Food Robotics on October 25, 2024 and sell it today you would earn a total of 0.10 from holding Nextgen Food Robotics or generate 2.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 85.71% |
Values | Daily Returns |
Stellar vs. Nextgen Food Robotics
Performance |
Timeline |
Stellar |
Nextgen Food Robotics |
Stellar and Nextgen Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stellar and Nextgen Food
The main advantage of trading using opposite Stellar and Nextgen Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stellar position performs unexpectedly, Nextgen Food 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 Nextgen Food will offset losses from the drop in Nextgen Food's long position.The idea behind Stellar and Nextgen Food Robotics 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.Nextgen Food vs. Embotelladora Andina SA | Nextgen Food vs. Embotelladora Andina SA | Nextgen Food vs. Apple Rush | Nextgen Food vs. Alkame 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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