Correlation Between CATLIN GROUP and Fresenius Medical
Can any of the company-specific risk be diversified away by investing in both CATLIN GROUP and Fresenius Medical 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 CATLIN GROUP and Fresenius Medical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CATLIN GROUP and Fresenius Medical Care, you can compare the effects of market volatilities on CATLIN GROUP and Fresenius Medical 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 CATLIN GROUP with a short position of Fresenius Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of CATLIN GROUP and Fresenius Medical.
Diversification Opportunities for CATLIN GROUP and Fresenius Medical
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CATLIN and Fresenius is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding CATLIN GROUP and Fresenius Medical Care in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fresenius Medical Care and CATLIN GROUP 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 CATLIN GROUP are associated (or correlated) with Fresenius Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fresenius Medical Care has no effect on the direction of CATLIN GROUP i.e., CATLIN GROUP and Fresenius Medical go up and down completely randomly.
Pair Corralation between CATLIN GROUP and Fresenius Medical
Assuming the 90 days trading horizon CATLIN GROUP is expected to under-perform the Fresenius Medical. But the stock apears to be less risky and, when comparing its historical volatility, CATLIN GROUP is 1.94 times less risky than Fresenius Medical. The stock trades about -0.11 of its potential returns per unit of risk. The Fresenius Medical Care is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 3,503 in Fresenius Medical Care on September 4, 2024 and sell it today you would earn a total of 805.00 from holding Fresenius Medical Care or generate 22.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
CATLIN GROUP vs. Fresenius Medical Care
Performance |
Timeline |
CATLIN GROUP |
Fresenius Medical Care |
CATLIN GROUP and Fresenius Medical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CATLIN GROUP and Fresenius Medical
The main advantage of trading using opposite CATLIN GROUP and Fresenius Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CATLIN GROUP position performs unexpectedly, Fresenius Medical 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 Fresenius Medical will offset losses from the drop in Fresenius Medical's long position.CATLIN GROUP vs. Tungsten West PLC | CATLIN GROUP vs. Versarien PLC | CATLIN GROUP vs. Quantum Blockchain Technologies | CATLIN GROUP vs. Malvern International |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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