Correlation Between Charoen Pokphand and MELIA HOTELS
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand 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 Charoen Pokphand and MELIA HOTELS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Charoen Pokphand Foods and MELIA HOTELS, you can compare the effects of market volatilities on Charoen Pokphand 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 Charoen Pokphand with a short position of MELIA HOTELS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and MELIA HOTELS.
Diversification Opportunities for Charoen Pokphand and MELIA HOTELS
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Charoen and MELIA is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Foods and MELIA HOTELS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MELIA HOTELS and Charoen Pokphand 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 Charoen Pokphand Foods 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 Charoen Pokphand i.e., Charoen Pokphand and MELIA HOTELS go up and down completely randomly.
Pair Corralation between Charoen Pokphand and MELIA HOTELS
Assuming the 90 days trading horizon Charoen Pokphand Foods is expected to under-perform the MELIA HOTELS. In addition to that, Charoen Pokphand is 1.33 times more volatile than MELIA HOTELS. It trades about -0.01 of its total potential returns per unit of risk. MELIA HOTELS is currently generating about 0.12 per unit of volatility. If you would invest 642.00 in MELIA HOTELS on September 23, 2024 and sell it today you would earn a total of 86.00 from holding MELIA HOTELS or generate 13.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Charoen Pokphand Foods vs. MELIA HOTELS
Performance |
Timeline |
Charoen Pokphand Foods |
MELIA HOTELS |
Charoen Pokphand and MELIA HOTELS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charoen Pokphand and MELIA HOTELS
The main advantage of trading using opposite Charoen Pokphand and MELIA HOTELS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand 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.Charoen Pokphand vs. Archer Daniels Midland | Charoen Pokphand vs. Tyson Foods | Charoen Pokphand vs. Wilmar International Limited | Charoen Pokphand vs. MOWI ASA SPADR |
MELIA HOTELS vs. Performance Food Group | MELIA HOTELS vs. AUSTEVOLL SEAFOOD | MELIA HOTELS vs. Associated British Foods | MELIA HOTELS vs. Charoen Pokphand Foods |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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