Correlation Between Diagnostic Medical and Air France
Can any of the company-specific risk be diversified away by investing in both Diagnostic Medical and Air France 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 Diagnostic Medical and Air France into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Diagnostic Medical Systems and Air France KLM SA, you can compare the effects of market volatilities on Diagnostic Medical and Air France 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 Diagnostic Medical with a short position of Air France. Check out your portfolio center. Please also check ongoing floating volatility patterns of Diagnostic Medical and Air France.
Diversification Opportunities for Diagnostic Medical and Air France
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Diagnostic and Air is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Diagnostic Medical Systems and Air France KLM SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air France KLM and Diagnostic 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 Diagnostic Medical Systems are associated (or correlated) with Air France. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air France KLM has no effect on the direction of Diagnostic Medical i.e., Diagnostic Medical and Air France go up and down completely randomly.
Pair Corralation between Diagnostic Medical and Air France
Assuming the 90 days trading horizon Diagnostic Medical Systems is expected to under-perform the Air France. In addition to that, Diagnostic Medical is 1.31 times more volatile than Air France KLM SA. It trades about -0.1 of its total potential returns per unit of risk. Air France KLM SA is currently generating about 0.0 per unit of volatility. If you would invest 816.00 in Air France KLM SA on September 15, 2024 and sell it today you would lose (15.00) from holding Air France KLM SA or give up 1.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Diagnostic Medical Systems vs. Air France KLM SA
Performance |
Timeline |
Diagnostic Medical |
Air France KLM |
Diagnostic Medical and Air France Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Diagnostic Medical and Air France
The main advantage of trading using opposite Diagnostic Medical and Air France positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Diagnostic Medical position performs unexpectedly, Air France 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 Air France will offset losses from the drop in Air France's long position.Diagnostic Medical vs. Innelec Multimedia | Diagnostic Medical vs. Fiducial Office Solutions | Diagnostic Medical vs. Seche Environnem | Diagnostic Medical vs. X Fab Silicon |
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 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.
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