Correlation Between I Mab and Agios Pharm
Can any of the company-specific risk be diversified away by investing in both I Mab and Agios Pharm 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 I Mab and Agios Pharm into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between I Mab and Agios Pharm, you can compare the effects of market volatilities on I Mab and Agios Pharm 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 I Mab with a short position of Agios Pharm. Check out your portfolio center. Please also check ongoing floating volatility patterns of I Mab and Agios Pharm.
Diversification Opportunities for I Mab and Agios Pharm
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IMAB and Agios is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding I Mab and Agios Pharm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agios Pharm and I Mab 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 I Mab are associated (or correlated) with Agios Pharm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agios Pharm has no effect on the direction of I Mab i.e., I Mab and Agios Pharm go up and down completely randomly.
Pair Corralation between I Mab and Agios Pharm
Given the investment horizon of 90 days I Mab is expected to generate 1.31 times more return on investment than Agios Pharm. However, I Mab is 1.31 times more volatile than Agios Pharm. It trades about 0.03 of its potential returns per unit of risk. Agios Pharm is currently generating about 0.03 per unit of risk. If you would invest 104.00 in I Mab on September 12, 2024 and sell it today you would earn a total of 2.00 from holding I Mab or generate 1.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
I Mab vs. Agios Pharm
Performance |
Timeline |
I Mab |
Agios Pharm |
I Mab and Agios Pharm Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with I Mab and Agios Pharm
The main advantage of trading using opposite I Mab and Agios Pharm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if I Mab position performs unexpectedly, Agios Pharm 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 Agios Pharm will offset losses from the drop in Agios Pharm's long position.The idea behind I Mab and Agios Pharm 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.Agios Pharm vs. Equillium | Agios Pharm vs. DiaMedica Therapeutics | Agios Pharm vs. Valneva SE ADR | Agios Pharm vs. Vivani Medical |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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