Correlation Between Host Hotels and Marsh McLennan
Can any of the company-specific risk be diversified away by investing in both Host Hotels 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 Host Hotels and Marsh McLennan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Host Hotels Resorts and Marsh McLennan Companies, you can compare the effects of market volatilities on Host Hotels 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 Host Hotels with a short position of Marsh McLennan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Host Hotels and Marsh McLennan.
Diversification Opportunities for Host Hotels and Marsh McLennan
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Host and Marsh is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Host Hotels Resorts 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 Host Hotels 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 Host Hotels Resorts 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 Host Hotels i.e., Host Hotels and Marsh McLennan go up and down completely randomly.
Pair Corralation between Host Hotels and Marsh McLennan
Assuming the 90 days horizon Host Hotels Resorts is expected to under-perform the Marsh McLennan. But the stock apears to be less risky and, when comparing its historical volatility, Host Hotels Resorts is 1.08 times less risky than Marsh McLennan. The stock trades about -0.27 of its potential returns per unit of risk. The Marsh McLennan Companies is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 20,340 in Marsh McLennan Companies on October 23, 2024 and sell it today you would earn a total of 430.00 from holding Marsh McLennan Companies or generate 2.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 94.12% |
Values | Daily Returns |
Host Hotels Resorts vs. Marsh McLennan Companies
Performance |
Timeline |
Host Hotels Resorts |
Marsh McLennan Companies |
Host Hotels and Marsh McLennan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Host Hotels and Marsh McLennan
The main advantage of trading using opposite Host Hotels and Marsh McLennan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Host Hotels 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.Host Hotels vs. PT Steel Pipe | Host Hotels vs. Clean Energy Fuels | Host Hotels vs. Carnegie Clean Energy | Host Hotels vs. AUTO TRADER ADR |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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