Correlation Between Summit Hotel and LVMH Moët
Can any of the company-specific risk be diversified away by investing in both Summit Hotel and LVMH Moët 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 Summit Hotel and LVMH Moët into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Hotel Properties and LVMH Mot Hennessy, you can compare the effects of market volatilities on Summit Hotel and LVMH Moët 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 Summit Hotel with a short position of LVMH Moët. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Hotel and LVMH Moët.
Diversification Opportunities for Summit Hotel and LVMH Moët
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Summit and LVMH is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Summit Hotel Properties and LVMH Mot Hennessy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LVMH Mot Hennessy and Summit 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 Summit Hotel Properties are associated (or correlated) with LVMH Moët. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LVMH Mot Hennessy has no effect on the direction of Summit Hotel i.e., Summit Hotel and LVMH Moët go up and down completely randomly.
Pair Corralation between Summit Hotel and LVMH Moët
Assuming the 90 days horizon Summit Hotel Properties is expected to generate 0.96 times more return on investment than LVMH Moët. However, Summit Hotel Properties is 1.04 times less risky than LVMH Moët. It trades about 0.01 of its potential returns per unit of risk. LVMH Mot Hennessy is currently generating about 0.0 per unit of risk. If you would invest 622.00 in Summit Hotel Properties on September 29, 2024 and sell it today you would earn a total of 28.00 from holding Summit Hotel Properties or generate 4.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Summit Hotel Properties vs. LVMH Mot Hennessy
Performance |
Timeline |
Summit Hotel Properties |
LVMH Mot Hennessy |
Summit Hotel and LVMH Moët Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Hotel and LVMH Moët
The main advantage of trading using opposite Summit Hotel and LVMH Moët positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Hotel position performs unexpectedly, LVMH Moët 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 LVMH Moët will offset losses from the drop in LVMH Moët's long position.Summit Hotel vs. Host Hotels Resorts | Summit Hotel vs. Ryman Hospitality Properties | Summit Hotel vs. Pebblebrook Hotel Trust | Summit Hotel vs. Sunstone Hotel Investors |
LVMH Moët vs. Summit Hotel Properties | LVMH Moët vs. Pebblebrook Hotel Trust | LVMH Moët vs. Host Hotels Resorts | LVMH Moët vs. Sunstone Hotel Investors |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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