Correlation Between MELIA HOTELS and Clean Energy
Can any of the company-specific risk be diversified away by investing in both MELIA HOTELS and Clean Energy 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 MELIA HOTELS and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MELIA HOTELS and Clean Energy Fuels, you can compare the effects of market volatilities on MELIA HOTELS and Clean Energy 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 MELIA HOTELS with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of MELIA HOTELS and Clean Energy.
Diversification Opportunities for MELIA HOTELS and Clean Energy
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MELIA and Clean is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding MELIA HOTELS and Clean Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Fuels and MELIA 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 MELIA HOTELS are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Fuels has no effect on the direction of MELIA HOTELS i.e., MELIA HOTELS and Clean Energy go up and down completely randomly.
Pair Corralation between MELIA HOTELS and Clean Energy
Assuming the 90 days trading horizon MELIA HOTELS is expected to generate 1.73 times less return on investment than Clean Energy. But when comparing it to its historical volatility, MELIA HOTELS is 2.1 times less risky than Clean Energy. It trades about 0.17 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 125.00 in Clean Energy Fuels on April 24, 2025 and sell it today you would earn a total of 48.00 from holding Clean Energy Fuels or generate 38.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MELIA HOTELS vs. Clean Energy Fuels
Performance |
Timeline |
MELIA HOTELS |
Clean Energy Fuels |
MELIA HOTELS and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MELIA HOTELS and Clean Energy
The main advantage of trading using opposite MELIA HOTELS and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MELIA HOTELS position performs unexpectedly, Clean Energy 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 Clean Energy will offset losses from the drop in Clean Energy's long position.MELIA HOTELS vs. Apollo Investment Corp | MELIA HOTELS vs. SEI INVESTMENTS | MELIA HOTELS vs. Global Ship Lease | MELIA HOTELS vs. Scottish Mortgage Investment |
Clean Energy vs. Retail Estates NV | Clean Energy vs. AEON STORES | Clean Energy vs. STORAGEVAULT CANADA INC | Clean Energy vs. MICRONIC MYDATA |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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