Correlation Between Sunstone Hotel and ELL ENVIRONHLDGS
Can any of the company-specific risk be diversified away by investing in both Sunstone Hotel and ELL ENVIRONHLDGS 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 Sunstone Hotel and ELL ENVIRONHLDGS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sunstone Hotel Investors and ELL ENVIRONHLDGS HD 0001, you can compare the effects of market volatilities on Sunstone Hotel and ELL ENVIRONHLDGS 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 Sunstone Hotel with a short position of ELL ENVIRONHLDGS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sunstone Hotel and ELL ENVIRONHLDGS.
Diversification Opportunities for Sunstone Hotel and ELL ENVIRONHLDGS
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sunstone and ELL is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Sunstone Hotel Investors and ELL ENVIRONHLDGS HD 0001 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ELL ENVIRONHLDGS and Sunstone 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 Sunstone Hotel Investors are associated (or correlated) with ELL ENVIRONHLDGS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ELL ENVIRONHLDGS has no effect on the direction of Sunstone Hotel i.e., Sunstone Hotel and ELL ENVIRONHLDGS go up and down completely randomly.
Pair Corralation between Sunstone Hotel and ELL ENVIRONHLDGS
Assuming the 90 days horizon Sunstone Hotel is expected to generate 199.65 times less return on investment than ELL ENVIRONHLDGS. But when comparing it to its historical volatility, Sunstone Hotel Investors is 60.17 times less risky than ELL ENVIRONHLDGS. It trades about 0.04 of its potential returns per unit of risk. ELL ENVIRONHLDGS HD 0001 is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 0.35 in ELL ENVIRONHLDGS HD 0001 on November 21, 2024 and sell it today you would earn a total of 0.95 from holding ELL ENVIRONHLDGS HD 0001 or generate 271.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sunstone Hotel Investors vs. ELL ENVIRONHLDGS HD 0001
Performance |
Timeline |
Sunstone Hotel Investors |
ELL ENVIRONHLDGS |
Sunstone Hotel and ELL ENVIRONHLDGS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sunstone Hotel and ELL ENVIRONHLDGS
The main advantage of trading using opposite Sunstone Hotel and ELL ENVIRONHLDGS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sunstone Hotel position performs unexpectedly, ELL ENVIRONHLDGS 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 ELL ENVIRONHLDGS will offset losses from the drop in ELL ENVIRONHLDGS's long position.Sunstone Hotel vs. Schweizer Electronic AG | ||
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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