Correlation Between PennyMac Finl and Ikena Oncology
Can any of the company-specific risk be diversified away by investing in both PennyMac Finl and Ikena Oncology 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 PennyMac Finl and Ikena Oncology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PennyMac Finl Svcs and Ikena Oncology, you can compare the effects of market volatilities on PennyMac Finl and Ikena Oncology 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 PennyMac Finl with a short position of Ikena Oncology. Check out your portfolio center. Please also check ongoing floating volatility patterns of PennyMac Finl and Ikena Oncology.
Diversification Opportunities for PennyMac Finl and Ikena Oncology
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between PennyMac and Ikena is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding PennyMac Finl Svcs and Ikena Oncology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ikena Oncology and PennyMac Finl 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 PennyMac Finl Svcs are associated (or correlated) with Ikena Oncology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ikena Oncology has no effect on the direction of PennyMac Finl i.e., PennyMac Finl and Ikena Oncology go up and down completely randomly.
Pair Corralation between PennyMac Finl and Ikena Oncology
Given the investment horizon of 90 days PennyMac Finl Svcs is expected to generate 0.34 times more return on investment than Ikena Oncology. However, PennyMac Finl Svcs is 2.94 times less risky than Ikena Oncology. It trades about 0.06 of its potential returns per unit of risk. Ikena Oncology is currently generating about 0.01 per unit of risk. If you would invest 6,481 in PennyMac Finl Svcs on October 5, 2024 and sell it today you would earn a total of 3,503 from holding PennyMac Finl Svcs or generate 54.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PennyMac Finl Svcs vs. Ikena Oncology
Performance |
Timeline |
PennyMac Finl Svcs |
Ikena Oncology |
PennyMac Finl and Ikena Oncology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PennyMac Finl and Ikena Oncology
The main advantage of trading using opposite PennyMac Finl and Ikena Oncology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PennyMac Finl position performs unexpectedly, Ikena Oncology 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 Ikena Oncology will offset losses from the drop in Ikena Oncology's long position.PennyMac Finl vs. Encore Capital Group | PennyMac Finl vs. Greystone Housing Impact | PennyMac Finl vs. Guild Holdings Co | PennyMac Finl vs. Security National Financial |
Ikena Oncology vs. Equillium | Ikena Oncology vs. DiaMedica Therapeutics | Ikena Oncology vs. Valneva SE ADR | Ikena Oncology 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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