Correlation Between DAX Index and Molina Healthcare
Specify exactly 2 symbols:
By analyzing existing cross correlation between DAX Index and Molina Healthcare, you can compare the effects of market volatilities on DAX Index and Molina Healthcare 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 DAX Index with a short position of Molina Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Molina Healthcare.
Diversification Opportunities for DAX Index and Molina Healthcare
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between DAX and Molina is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Molina Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Molina Healthcare and DAX Index 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 DAX Index are associated (or correlated) with Molina Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Molina Healthcare has no effect on the direction of DAX Index i.e., DAX Index and Molina Healthcare go up and down completely randomly.
Pair Corralation between DAX Index and Molina Healthcare
Assuming the 90 days trading horizon DAX Index is expected to generate 0.41 times more return on investment than Molina Healthcare. However, DAX Index is 2.42 times less risky than Molina Healthcare. It trades about 0.21 of its potential returns per unit of risk. Molina Healthcare is currently generating about 0.03 per unit of risk. If you would invest 1,984,877 in DAX Index on December 23, 2024 and sell it today you would earn a total of 304,291 from holding DAX Index or generate 15.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DAX Index vs. Molina Healthcare
Performance |
Timeline |
DAX Index and Molina Healthcare Volatility Contrast
Predicted Return Density |
Returns |
DAX Index
Pair trading matchups for DAX Index
Molina Healthcare
Pair trading matchups for Molina Healthcare
Pair Trading with DAX Index and Molina Healthcare
The main advantage of trading using opposite DAX Index and Molina Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Molina Healthcare 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 Molina Healthcare will offset losses from the drop in Molina Healthcare's long position.DAX Index vs. Ringmetall SE | DAX Index vs. CHEMICAL INDUSTRIES | DAX Index vs. Jacquet Metal Service | DAX Index vs. Harmony Gold Mining |
Molina Healthcare vs. Chesapeake Utilities | Molina Healthcare vs. PULSION Medical Systems | Molina Healthcare vs. UNITED UTILITIES GR | Molina Healthcare vs. Japan Medical Dynamic |
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 Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Other Complementary Tools
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Stocks Directory Find actively traded stocks across global markets | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |