Correlation Between NH HOTEL and Marsh McLennan
Can any of the company-specific risk be diversified away by investing in both NH HOTEL and Marsh McLennan 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 NH HOTEL and Marsh McLennan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NH HOTEL GROUP and Marsh McLennan Companies, you can compare the effects of market volatilities on NH HOTEL and Marsh McLennan 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 NH HOTEL with a short position of Marsh McLennan. Check out your portfolio center. Please also check ongoing floating volatility patterns of NH HOTEL and Marsh McLennan.
Diversification Opportunities for NH HOTEL and Marsh McLennan
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NH5 and Marsh is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding NH HOTEL GROUP and Marsh McLennan Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marsh McLennan Companies and NH HOTEL 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 NH HOTEL GROUP are associated (or correlated) with Marsh McLennan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marsh McLennan Companies has no effect on the direction of NH HOTEL i.e., NH HOTEL and Marsh McLennan go up and down completely randomly.
Pair Corralation between NH HOTEL and Marsh McLennan
Assuming the 90 days trading horizon NH HOTEL GROUP is expected to generate 8.74 times more return on investment than Marsh McLennan. However, NH HOTEL is 8.74 times more volatile than Marsh McLennan Companies. It trades about 0.28 of its potential returns per unit of risk. Marsh McLennan Companies is currently generating about -0.05 per unit of risk. If you would invest 443.00 in NH HOTEL GROUP on October 12, 2024 and sell it today you would earn a total of 179.00 from holding NH HOTEL GROUP or generate 40.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NH HOTEL GROUP vs. Marsh McLennan Companies
Performance |
| Timeline |
| NH HOTEL GROUP |
| Marsh McLennan Companies |
NH HOTEL and Marsh McLennan Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with NH HOTEL and Marsh McLennan
The main advantage of trading using opposite NH HOTEL and Marsh McLennan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NH HOTEL position performs unexpectedly, Marsh McLennan 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 Marsh McLennan will offset losses from the drop in Marsh McLennan's long position.| NH HOTEL vs. DIVERSIFIED ROYALTY | NH HOTEL vs. Nanjing Panda Electronics | NH HOTEL vs. STORE ELECTRONIC | NH HOTEL vs. Electronic Arts |
| Marsh McLennan vs. NH HOTEL GROUP | Marsh McLennan vs. The Hongkong and | Marsh McLennan vs. Thai Beverage Public | Marsh McLennan vs. TYSON FOODS A |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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