Correlation Between MeVis Medical and FIH MOBILE
Can any of the company-specific risk be diversified away by investing in both MeVis Medical and FIH MOBILE 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 MeVis Medical and FIH MOBILE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MeVis Medical Solutions and FIH MOBILE, you can compare the effects of market volatilities on MeVis Medical and FIH MOBILE 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 MeVis Medical with a short position of FIH MOBILE. Check out your portfolio center. Please also check ongoing floating volatility patterns of MeVis Medical and FIH MOBILE.
Diversification Opportunities for MeVis Medical and FIH MOBILE
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MeVis and FIH is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding MeVis Medical Solutions and FIH MOBILE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FIH MOBILE and MeVis 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 MeVis Medical Solutions are associated (or correlated) with FIH MOBILE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FIH MOBILE has no effect on the direction of MeVis Medical i.e., MeVis Medical and FIH MOBILE go up and down completely randomly.
Pair Corralation between MeVis Medical and FIH MOBILE
Assuming the 90 days trading horizon MeVis Medical is expected to generate 2.37 times less return on investment than FIH MOBILE. But when comparing it to its historical volatility, MeVis Medical Solutions is 1.83 times less risky than FIH MOBILE. It trades about 0.18 of its potential returns per unit of risk. FIH MOBILE is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 10.00 in FIH MOBILE on October 11, 2024 and sell it today you would earn a total of 1.00 from holding FIH MOBILE or generate 10.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MeVis Medical Solutions vs. FIH MOBILE
Performance |
Timeline |
MeVis Medical Solutions |
FIH MOBILE |
MeVis Medical and FIH MOBILE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MeVis Medical and FIH MOBILE
The main advantage of trading using opposite MeVis Medical and FIH MOBILE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MeVis Medical position performs unexpectedly, FIH MOBILE 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 FIH MOBILE will offset losses from the drop in FIH MOBILE's long position.MeVis Medical vs. China Datang | MeVis Medical vs. DATATEC LTD 2 | MeVis Medical vs. Tsingtao Brewery | MeVis Medical vs. Cass Information Systems |
FIH MOBILE vs. X FAB Silicon Foundries | FIH MOBILE vs. Take Two Interactive Software | FIH MOBILE vs. CVR Medical Corp | FIH MOBILE vs. MeVis Medical Solutions |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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