Correlation Between Charoen Pokphand and Fortune Information
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and Fortune Information 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 Fortune Information 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 Fortune Information Systems, you can compare the effects of market volatilities on Charoen Pokphand and Fortune Information 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 Fortune Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and Fortune Information.
Diversification Opportunities for Charoen Pokphand and Fortune Information
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Charoen and Fortune is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Enterprise and Fortune Information Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fortune Information 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 Fortune Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fortune Information has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and Fortune Information go up and down completely randomly.
Pair Corralation between Charoen Pokphand and Fortune Information
Assuming the 90 days trading horizon Charoen Pokphand Enterprise is expected to generate 0.48 times more return on investment than Fortune Information. However, Charoen Pokphand Enterprise is 2.09 times less risky than Fortune Information. It trades about -0.01 of its potential returns per unit of risk. Fortune Information Systems is currently generating about -0.03 per unit of risk. If you would invest 9,530 in Charoen Pokphand Enterprise on October 5, 2024 and sell it today you would lose (400.00) from holding Charoen Pokphand Enterprise or give up 4.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Charoen Pokphand Enterprise vs. Fortune Information Systems
Performance |
Timeline |
Charoen Pokphand Ent |
Fortune Information |
Charoen Pokphand and Fortune Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charoen Pokphand and Fortune Information
The main advantage of trading using opposite Charoen Pokphand and Fortune Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, Fortune Information 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 Fortune Information will offset losses from the drop in Fortune Information'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 |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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