Correlation Between AIM ImmunoTech and Panther Metals
Can any of the company-specific risk be diversified away by investing in both AIM ImmunoTech and Panther Metals 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 AIM ImmunoTech and Panther Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AIM ImmunoTech and Panther Metals PLC, you can compare the effects of market volatilities on AIM ImmunoTech and Panther Metals 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 AIM ImmunoTech with a short position of Panther Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of AIM ImmunoTech and Panther Metals.
Diversification Opportunities for AIM ImmunoTech and Panther Metals
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between AIM and Panther is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding AIM ImmunoTech and Panther Metals PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Panther Metals PLC and AIM ImmunoTech 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 AIM ImmunoTech are associated (or correlated) with Panther Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Panther Metals PLC has no effect on the direction of AIM ImmunoTech i.e., AIM ImmunoTech and Panther Metals go up and down completely randomly.
Pair Corralation between AIM ImmunoTech and Panther Metals
Assuming the 90 days trading horizon AIM ImmunoTech is expected to generate 1.41 times more return on investment than Panther Metals. However, AIM ImmunoTech is 1.41 times more volatile than Panther Metals PLC. It trades about -0.07 of its potential returns per unit of risk. Panther Metals PLC is currently generating about -0.53 per unit of risk. If you would invest 22.00 in AIM ImmunoTech on September 25, 2024 and sell it today you would lose (2.00) from holding AIM ImmunoTech or give up 9.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AIM ImmunoTech vs. Panther Metals PLC
Performance |
Timeline |
AIM ImmunoTech |
Panther Metals PLC |
AIM ImmunoTech and Panther Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AIM ImmunoTech and Panther Metals
The main advantage of trading using opposite AIM ImmunoTech and Panther Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AIM ImmunoTech position performs unexpectedly, Panther Metals 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 Panther Metals will offset losses from the drop in Panther Metals' long position.AIM ImmunoTech vs. Zoom Video Communications | AIM ImmunoTech vs. Enbridge | AIM ImmunoTech vs. Bath Body Works | AIM ImmunoTech vs. Rio Tinto PLC |
Panther Metals vs. AIM ImmunoTech | Panther Metals vs. Aeorema Communications Plc | Panther Metals vs. Spirent Communications plc | Panther Metals vs. mobilezone holding AG |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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