Correlation Between Marsh McLennan and ADRIATIC METALS
Can any of the company-specific risk be diversified away by investing in both Marsh McLennan and ADRIATIC METALS 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 Marsh McLennan and ADRIATIC METALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marsh McLennan Companies and ADRIATIC METALS LS 013355, you can compare the effects of market volatilities on Marsh McLennan and ADRIATIC METALS 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 Marsh McLennan with a short position of ADRIATIC METALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marsh McLennan and ADRIATIC METALS.
Diversification Opportunities for Marsh McLennan and ADRIATIC METALS
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Marsh and ADRIATIC is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Marsh McLennan Companies and ADRIATIC METALS LS 013355 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ADRIATIC METALS LS and Marsh McLennan 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 Marsh McLennan Companies are associated (or correlated) with ADRIATIC METALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ADRIATIC METALS LS has no effect on the direction of Marsh McLennan i.e., Marsh McLennan and ADRIATIC METALS go up and down completely randomly.
Pair Corralation between Marsh McLennan and ADRIATIC METALS
Assuming the 90 days horizon Marsh McLennan Companies is expected to generate 0.39 times more return on investment than ADRIATIC METALS. However, Marsh McLennan Companies is 2.57 times less risky than ADRIATIC METALS. It trades about 0.03 of its potential returns per unit of risk. ADRIATIC METALS LS 013355 is currently generating about 0.0 per unit of risk. If you would invest 20,490 in Marsh McLennan Companies on October 26, 2024 and sell it today you would earn a total of 320.00 from holding Marsh McLennan Companies or generate 1.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Marsh McLennan Companies vs. ADRIATIC METALS LS 013355
Performance |
Timeline |
Marsh McLennan Companies |
ADRIATIC METALS LS |
Marsh McLennan and ADRIATIC METALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marsh McLennan and ADRIATIC METALS
The main advantage of trading using opposite Marsh McLennan and ADRIATIC METALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marsh McLennan position performs unexpectedly, ADRIATIC METALS 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 ADRIATIC METALS will offset losses from the drop in ADRIATIC METALS's long position.Marsh McLennan vs. COSTCO WHOLESALE CDR | Marsh McLennan vs. Scandinavian Tobacco Group | Marsh McLennan vs. Retail Estates NV | Marsh McLennan vs. National Retail Properties |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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