Correlation Between Charoen Pokphand and Lien Hwa
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and Lien Hwa 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 Lien Hwa 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 Lien Hwa Industrial, you can compare the effects of market volatilities on Charoen Pokphand and Lien Hwa 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 Lien Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and Lien Hwa.
Diversification Opportunities for Charoen Pokphand and Lien Hwa
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Charoen and Lien is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Enterprise and Lien Hwa Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lien Hwa Industrial 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 Lien Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lien Hwa Industrial has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and Lien Hwa go up and down completely randomly.
Pair Corralation between Charoen Pokphand and Lien Hwa
Assuming the 90 days trading horizon Charoen Pokphand Enterprise is expected to generate 0.55 times more return on investment than Lien Hwa. However, Charoen Pokphand Enterprise is 1.83 times less risky than Lien Hwa. It trades about 0.13 of its potential returns per unit of risk. Lien Hwa Industrial is currently generating about -0.14 per unit of risk. If you would invest 9,700 in Charoen Pokphand Enterprise on August 25, 2024 and sell it today you would earn a total of 140.00 from holding Charoen Pokphand Enterprise or generate 1.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Charoen Pokphand Enterprise vs. Lien Hwa Industrial
Performance |
| Timeline |
| Charoen Pokphand Ent |
| Lien Hwa Industrial |
Charoen Pokphand and Lien Hwa Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Charoen Pokphand and Lien Hwa
The main advantage of trading using opposite Charoen Pokphand and Lien Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, Lien Hwa 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 Lien Hwa will offset losses from the drop in Lien Hwa'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 |
| Lien Hwa vs. Lian Hwa Foods | Lien Hwa vs. Uni President Enterprises Corp | Lien Hwa vs. Taiwan Cement Corp | Lien Hwa vs. Ruentex Development 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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