Correlation Between Charoen Pokphand and Interlink Telecom
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and Interlink Telecom 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 Interlink Telecom 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 Interlink Telecom Public, you can compare the effects of market volatilities on Charoen Pokphand and Interlink Telecom 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 Interlink Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and Interlink Telecom.
Diversification Opportunities for Charoen Pokphand and Interlink Telecom
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Charoen and Interlink is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Foods and Interlink Telecom Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Interlink Telecom 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 Interlink Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Interlink Telecom Public has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and Interlink Telecom go up and down completely randomly.
Pair Corralation between Charoen Pokphand and Interlink Telecom
Assuming the 90 days trading horizon Charoen Pokphand Foods is expected to generate 0.6 times more return on investment than Interlink Telecom. However, Charoen Pokphand Foods is 1.66 times less risky than Interlink Telecom. It trades about -0.15 of its potential returns per unit of risk. Interlink Telecom Public is currently generating about -0.1 per unit of risk. If you would invest 2,500 in Charoen Pokphand Foods on September 22, 2024 and sell it today you would lose (240.00) from holding Charoen Pokphand Foods or give up 9.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 97.62% |
Values | Daily Returns |
Charoen Pokphand Foods vs. Interlink Telecom Public
Performance |
Timeline |
Charoen Pokphand Foods |
Interlink Telecom Public |
Charoen Pokphand and Interlink Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charoen Pokphand and Interlink Telecom
The main advantage of trading using opposite Charoen Pokphand and Interlink Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, Interlink Telecom 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 Interlink Telecom will offset losses from the drop in Interlink Telecom's long position.Charoen Pokphand vs. CP ALL Public | Charoen Pokphand vs. The Siam Cement | Charoen Pokphand vs. OSOTSPA PCL NVDR | Charoen Pokphand vs. The Siam Commercial |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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