Correlation Between Charoen Pokphand and O TA
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and O TA 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 O TA 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 O TA Precision Industry, you can compare the effects of market volatilities on Charoen Pokphand and O TA 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 O TA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and O TA.
Diversification Opportunities for Charoen Pokphand and O TA
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Charoen and 8924 is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Enterprise and O TA Precision Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on O TA Precision 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 O TA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of O TA Precision has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and O TA go up and down completely randomly.
Pair Corralation between Charoen Pokphand and O TA
Assuming the 90 days trading horizon Charoen Pokphand Enterprise is expected to generate 1.01 times more return on investment than O TA. However, Charoen Pokphand is 1.01 times more volatile than O TA Precision Industry. It trades about 0.03 of its potential returns per unit of risk. O TA Precision Industry is currently generating about -0.06 per unit of risk. If you would invest 7,890 in Charoen Pokphand Enterprise on October 9, 2024 and sell it today you would earn a total of 1,310 from holding Charoen Pokphand Enterprise or generate 16.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Charoen Pokphand Enterprise vs. O TA Precision Industry
Performance |
Timeline |
Charoen Pokphand Ent |
O TA Precision |
Charoen Pokphand and O TA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charoen Pokphand and O TA
The main advantage of trading using opposite Charoen Pokphand and O TA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, O TA 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 O TA will offset losses from the drop in O TA'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 |
O TA vs. Advanced International Multitech | O TA vs. Dynamic Precision Industry | O TA vs. Greatek Electronics | O TA vs. Qisda Corp |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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