Correlation Between CLEAN ENERGY and Host Hotels
Can any of the company-specific risk be diversified away by investing in both CLEAN ENERGY and Host Hotels 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 CLEAN ENERGY and Host Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CLEAN ENERGY FUELS and Host Hotels Resorts, you can compare the effects of market volatilities on CLEAN ENERGY and Host Hotels 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 CLEAN ENERGY with a short position of Host Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of CLEAN ENERGY and Host Hotels.
Diversification Opportunities for CLEAN ENERGY and Host Hotels
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between CLEAN and Host is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding CLEAN ENERGY FUELS and Host Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Host Hotels Resorts and CLEAN ENERGY 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 CLEAN ENERGY FUELS are associated (or correlated) with Host Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Host Hotels Resorts has no effect on the direction of CLEAN ENERGY i.e., CLEAN ENERGY and Host Hotels go up and down completely randomly.
Pair Corralation between CLEAN ENERGY and Host Hotels
Assuming the 90 days trading horizon CLEAN ENERGY FUELS is expected to under-perform the Host Hotels. In addition to that, CLEAN ENERGY is 2.04 times more volatile than Host Hotels Resorts. It trades about -0.02 of its total potential returns per unit of risk. Host Hotels Resorts is currently generating about 0.02 per unit of volatility. If you would invest 1,454 in Host Hotels Resorts on October 10, 2024 and sell it today you would earn a total of 186.00 from holding Host Hotels Resorts or generate 12.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CLEAN ENERGY FUELS vs. Host Hotels Resorts
Performance |
Timeline |
CLEAN ENERGY FUELS |
Host Hotels Resorts |
CLEAN ENERGY and Host Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CLEAN ENERGY and Host Hotels
The main advantage of trading using opposite CLEAN ENERGY and Host Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CLEAN ENERGY position performs unexpectedly, Host Hotels 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 Host Hotels will offset losses from the drop in Host Hotels' long position.CLEAN ENERGY vs. Broadridge Financial Solutions | CLEAN ENERGY vs. Haier Smart Home | CLEAN ENERGY vs. Taylor Morrison Home | CLEAN ENERGY vs. The Home Depot |
Host Hotels vs. FIRST SAVINGS FINL | Host Hotels vs. Apollo Investment Corp | Host Hotels vs. New Residential Investment | Host Hotels vs. Gladstone Investment |
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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