Correlation Between Fresenius and Oncology Institute
Can any of the company-specific risk be diversified away by investing in both Fresenius and Oncology Institute 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 Fresenius and Oncology Institute into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fresenius SE Co and Oncology Institute, you can compare the effects of market volatilities on Fresenius and Oncology Institute 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 Fresenius with a short position of Oncology Institute. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fresenius and Oncology Institute.
Diversification Opportunities for Fresenius and Oncology Institute
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fresenius and Oncology is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Fresenius SE Co and Oncology Institute in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oncology Institute and Fresenius 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 Fresenius SE Co are associated (or correlated) with Oncology Institute. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oncology Institute has no effect on the direction of Fresenius i.e., Fresenius and Oncology Institute go up and down completely randomly.
Pair Corralation between Fresenius and Oncology Institute
Assuming the 90 days horizon Fresenius SE Co is expected to generate 0.17 times more return on investment than Oncology Institute. However, Fresenius SE Co is 5.96 times less risky than Oncology Institute. It trades about -0.05 of its potential returns per unit of risk. Oncology Institute is currently generating about -0.13 per unit of risk. If you would invest 921.00 in Fresenius SE Co on September 1, 2024 and sell it today you would lose (38.00) from holding Fresenius SE Co or give up 4.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Fresenius SE Co vs. Oncology Institute
Performance |
Timeline |
Fresenius SE |
Oncology Institute |
Fresenius and Oncology Institute Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fresenius and Oncology Institute
The main advantage of trading using opposite Fresenius and Oncology Institute positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fresenius position performs unexpectedly, Oncology Institute 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 Oncology Institute will offset losses from the drop in Oncology Institute's long position.Fresenius vs. Jack Nathan Medical | Fresenius vs. Medical Facilities | Fresenius vs. Ramsay Health Care | Fresenius vs. Nova Leap Health |
Oncology Institute vs. Ramsay Health Care | Oncology Institute vs. Medical Facilities | Oncology Institute vs. Jack Nathan Medical | Oncology Institute vs. Fresenius SE Co |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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