Correlation Between MEDICAL FACILITIES and DAX Index

Can any of the company-specific risk be diversified away by investing in both MEDICAL FACILITIES and DAX Index 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 MEDICAL FACILITIES and DAX Index into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between MEDICAL FACILITIES NEW and DAX Index, you can compare the effects of market volatilities on MEDICAL FACILITIES and DAX Index 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 MEDICAL FACILITIES with a short position of DAX Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of MEDICAL FACILITIES and DAX Index.

Diversification Opportunities for MEDICAL FACILITIES and DAX Index

0.58

Correlation Coefficient

MEDICAL FACILITIES  DAX Index

Very weak diversification

The 3 months correlation between MEDICAL and DAX is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding MEDICAL FACILITIES NEW and DAX Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAX Index and MEDICAL FACILITIES 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 MEDICAL FACILITIES NEW are associated (or correlated) with DAX Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX Index has no effect on the direction of MEDICAL FACILITIES i.e., MEDICAL FACILITIES and DAX Index go up and down completely randomly.

Pair Corralation between MEDICAL FACILITIES and DAX Index

Assuming the 90 days horizon MEDICAL FACILITIES NEW is expected to under-perform the DAX Index. In addition to that, MEDICAL FACILITIES is 3.61 times more volatile than DAX Index. It trades about -0.09 of its total potential returns per unit of risk. DAX Index is currently generating about -0.28 per unit of volatility. If you would invest  2,035,880  in DAX Index on October 6, 2024 and sell it today you would lose (45,272) from holding DAX Index or give up 2.22% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

MEDICAL FACILITIES NEW  vs.  DAX Index

Pair Trading with MEDICAL FACILITIES and DAX Index

The main advantage of trading using opposite MEDICAL FACILITIES and DAX Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MEDICAL FACILITIES position performs unexpectedly, DAX Index 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 DAX Index will offset losses from the drop in DAX Index's long position.

The idea behind MEDICAL FACILITIES NEW and DAX Index pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.