Correlation Between Charoen Pokphand and Yung Chi
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and Yung Chi 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 Yung Chi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Charoen Pokphand Enterprise and Yung Chi Paint, you can compare the effects of market volatilities on Charoen Pokphand and Yung Chi 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 Yung Chi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and Yung Chi.
Diversification Opportunities for Charoen Pokphand and Yung Chi
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Charoen and Yung is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Enterprise and Yung Chi Paint in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yung Chi Paint 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 Enterprise are associated (or correlated) with Yung Chi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yung Chi Paint has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and Yung Chi go up and down completely randomly.
Pair Corralation between Charoen Pokphand and Yung Chi
Assuming the 90 days trading horizon Charoen Pokphand Enterprise is expected to generate 1.62 times more return on investment than Yung Chi. However, Charoen Pokphand is 1.62 times more volatile than Yung Chi Paint. It trades about 0.02 of its potential returns per unit of risk. Yung Chi Paint is currently generating about 0.01 per unit of risk. If you would invest 9,300 in Charoen Pokphand Enterprise on September 14, 2024 and sell it today you would earn a total of 530.00 from holding Charoen Pokphand Enterprise or generate 5.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Charoen Pokphand Enterprise vs. Yung Chi Paint
Performance |
| Timeline |
| Charoen Pokphand Ent |
| Yung Chi Paint |
Charoen Pokphand and Yung Chi Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Charoen Pokphand and Yung Chi
The main advantage of trading using opposite Charoen Pokphand and Yung Chi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, Yung Chi 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 Yung Chi will offset losses from the drop in Yung Chi's long position.| Charoen Pokphand vs. Great Wall Enterprise | Charoen Pokphand vs. TTET Union Corp | Charoen Pokphand vs. Uni President Enterprises Corp | Charoen Pokphand vs. Lien Hwa Industrial |
| Yung Chi vs. China Steel Chemical | Yung Chi vs. Taiwan Secom Co | Yung Chi vs. Standard Foods Corp | Yung Chi vs. Eternal Materials Co |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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