Correlation Between Charoen Pokphand and GFPT Public
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and GFPT Public 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 GFPT Public 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 GFPT Public, you can compare the effects of market volatilities on Charoen Pokphand and GFPT Public 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 GFPT Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and GFPT Public.
Diversification Opportunities for Charoen Pokphand and GFPT Public
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Charoen and GFPT is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Foods and GFPT Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GFPT Public 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 GFPT Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GFPT Public has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and GFPT Public go up and down completely randomly.
Pair Corralation between Charoen Pokphand and GFPT Public
Assuming the 90 days trading horizon Charoen Pokphand Foods is expected to generate 0.78 times more return on investment than GFPT Public. However, Charoen Pokphand Foods is 1.28 times less risky than GFPT Public. It trades about -0.13 of its potential returns per unit of risk. GFPT Public is currently generating about -0.29 per unit of risk. If you would invest 2,525 in Charoen Pokphand Foods on August 25, 2024 and sell it today you would lose (85.00) from holding Charoen Pokphand Foods or give up 3.37% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Charoen Pokphand Foods vs. GFPT Public
Performance |
| Timeline |
| Charoen Pokphand Foods |
| GFPT Public |
Charoen Pokphand and GFPT Public Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Charoen Pokphand and GFPT Public
The main advantage of trading using opposite Charoen Pokphand and GFPT Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, GFPT Public 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 GFPT Public will offset losses from the drop in GFPT Public's long position.| Charoen Pokphand vs. CP ALL Public | Charoen Pokphand vs. Carabao Group Public | Charoen Pokphand vs. Thai Union Group | Charoen Pokphand vs. Minor International Public |
| GFPT Public vs. CP ALL Public | GFPT Public vs. Carabao Group Public | GFPT Public vs. Thai Union Group | GFPT Public vs. Minor International Public |
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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