Correlation Between Fresenius Medical and COMPASS PATHW
Can any of the company-specific risk be diversified away by investing in both Fresenius Medical and COMPASS PATHW 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 Medical and COMPASS PATHW into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fresenius Medical Care and COMPASS PATHW SPADR, you can compare the effects of market volatilities on Fresenius Medical and COMPASS PATHW 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 Medical with a short position of COMPASS PATHW. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fresenius Medical and COMPASS PATHW.
Diversification Opportunities for Fresenius Medical and COMPASS PATHW
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Fresenius and COMPASS is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Fresenius Medical Care and COMPASS PATHW SPADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMPASS PATHW SPADR and Fresenius Medical 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 Medical Care are associated (or correlated) with COMPASS PATHW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMPASS PATHW SPADR has no effect on the direction of Fresenius Medical i.e., Fresenius Medical and COMPASS PATHW go up and down completely randomly.
Pair Corralation between Fresenius Medical and COMPASS PATHW
Assuming the 90 days trading horizon Fresenius Medical Care is expected to generate 0.3 times more return on investment than COMPASS PATHW. However, Fresenius Medical Care is 3.3 times less risky than COMPASS PATHW. It trades about 0.02 of its potential returns per unit of risk. COMPASS PATHW SPADR is currently generating about -0.06 per unit of risk. If you would invest 4,428 in Fresenius Medical Care on December 24, 2024 and sell it today you would earn a total of 72.00 from holding Fresenius Medical Care or generate 1.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fresenius Medical Care vs. COMPASS PATHW SPADR
Performance |
Timeline |
Fresenius Medical Care |
COMPASS PATHW SPADR |
Fresenius Medical and COMPASS PATHW Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fresenius Medical and COMPASS PATHW
The main advantage of trading using opposite Fresenius Medical and COMPASS PATHW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fresenius Medical position performs unexpectedly, COMPASS PATHW 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 COMPASS PATHW will offset losses from the drop in COMPASS PATHW's long position.Fresenius Medical vs. Taylor Morrison Home | Fresenius Medical vs. NXP Semiconductors NV | Fresenius Medical vs. Autohome ADR | Fresenius Medical vs. bet at home AG |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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