Correlation Between CPU SOFTWAREHOUSE and MELIA HOTELS
Can any of the company-specific risk be diversified away by investing in both CPU SOFTWAREHOUSE and MELIA 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 CPU SOFTWAREHOUSE and MELIA HOTELS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CPU SOFTWAREHOUSE and MELIA HOTELS, you can compare the effects of market volatilities on CPU SOFTWAREHOUSE and MELIA 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 CPU SOFTWAREHOUSE with a short position of MELIA HOTELS. Check out your portfolio center. Please also check ongoing floating volatility patterns of CPU SOFTWAREHOUSE and MELIA HOTELS.
Diversification Opportunities for CPU SOFTWAREHOUSE and MELIA HOTELS
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CPU and MELIA is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding CPU SOFTWAREHOUSE and MELIA HOTELS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MELIA HOTELS and CPU SOFTWAREHOUSE 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 CPU SOFTWAREHOUSE are associated (or correlated) with MELIA HOTELS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MELIA HOTELS has no effect on the direction of CPU SOFTWAREHOUSE i.e., CPU SOFTWAREHOUSE and MELIA HOTELS go up and down completely randomly.
Pair Corralation between CPU SOFTWAREHOUSE and MELIA HOTELS
Assuming the 90 days trading horizon CPU SOFTWAREHOUSE is expected to under-perform the MELIA HOTELS. In addition to that, CPU SOFTWAREHOUSE is 2.4 times more volatile than MELIA HOTELS. It trades about -0.03 of its total potential returns per unit of risk. MELIA HOTELS is currently generating about 0.0 per unit of volatility. If you would invest 752.00 in MELIA HOTELS on September 25, 2024 and sell it today you would lose (19.00) from holding MELIA HOTELS or give up 2.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CPU SOFTWAREHOUSE vs. MELIA HOTELS
Performance |
Timeline |
CPU SOFTWAREHOUSE |
MELIA HOTELS |
CPU SOFTWAREHOUSE and MELIA HOTELS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CPU SOFTWAREHOUSE and MELIA HOTELS
The main advantage of trading using opposite CPU SOFTWAREHOUSE and MELIA HOTELS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CPU SOFTWAREHOUSE position performs unexpectedly, MELIA 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 MELIA HOTELS will offset losses from the drop in MELIA HOTELS's long position.CPU SOFTWAREHOUSE vs. EAT WELL INVESTMENT | CPU SOFTWAREHOUSE vs. Algonquin Power Utilities | CPU SOFTWAREHOUSE vs. EIDESVIK OFFSHORE NK | CPU SOFTWAREHOUSE vs. SBM OFFSHORE |
MELIA HOTELS vs. Check Point Software | MELIA HOTELS vs. ITALIAN WINE BRANDS | MELIA HOTELS vs. Alfa Financial Software | MELIA HOTELS vs. CPU SOFTWAREHOUSE |
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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