Correlation Between Charoen Pokphand and Shuttle
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and Shuttle 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 Shuttle 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 Shuttle, you can compare the effects of market volatilities on Charoen Pokphand and Shuttle 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 Shuttle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and Shuttle.
Diversification Opportunities for Charoen Pokphand and Shuttle
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Charoen and Shuttle is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Enterprise and Shuttle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shuttle 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 Shuttle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shuttle has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and Shuttle go up and down completely randomly.
Pair Corralation between Charoen Pokphand and Shuttle
Assuming the 90 days trading horizon Charoen Pokphand is expected to generate 3.54 times less return on investment than Shuttle. But when comparing it to its historical volatility, Charoen Pokphand Enterprise is 2.31 times less risky than Shuttle. It trades about 0.03 of its potential returns per unit of risk. Shuttle is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,185 in Shuttle on October 21, 2024 and sell it today you would earn a total of 755.00 from holding Shuttle or generate 63.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Charoen Pokphand Enterprise vs. Shuttle
Performance |
Timeline |
Charoen Pokphand Ent |
Shuttle |
Charoen Pokphand and Shuttle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charoen Pokphand and Shuttle
The main advantage of trading using opposite Charoen Pokphand and Shuttle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, Shuttle 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 Shuttle will offset losses from the drop in Shuttle'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 |
Shuttle vs. ASRock Inc | Shuttle vs. FIC Global | Shuttle vs. In Win Development | Shuttle vs. Getac Technology 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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