Correlation Between AIR PRODCHEMICALS and Charoen Pokphand
Can any of the company-specific risk be diversified away by investing in both AIR PRODCHEMICALS and Charoen Pokphand 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 AIR PRODCHEMICALS and Charoen Pokphand into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AIR PRODCHEMICALS and Charoen Pokphand Foods, you can compare the effects of market volatilities on AIR PRODCHEMICALS and Charoen Pokphand 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 AIR PRODCHEMICALS with a short position of Charoen Pokphand. Check out your portfolio center. Please also check ongoing floating volatility patterns of AIR PRODCHEMICALS and Charoen Pokphand.
Diversification Opportunities for AIR PRODCHEMICALS and Charoen Pokphand
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between AIR and Charoen is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding AIR PRODCHEMICALS and Charoen Pokphand Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Charoen Pokphand Foods and AIR PRODCHEMICALS 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 AIR PRODCHEMICALS are associated (or correlated) with Charoen Pokphand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Charoen Pokphand Foods has no effect on the direction of AIR PRODCHEMICALS i.e., AIR PRODCHEMICALS and Charoen Pokphand go up and down completely randomly.
Pair Corralation between AIR PRODCHEMICALS and Charoen Pokphand
Assuming the 90 days trading horizon AIR PRODCHEMICALS is expected to generate 0.68 times more return on investment than Charoen Pokphand. However, AIR PRODCHEMICALS is 1.46 times less risky than Charoen Pokphand. It trades about 0.18 of its potential returns per unit of risk. Charoen Pokphand Foods is currently generating about 0.03 per unit of risk. If you would invest 25,550 in AIR PRODCHEMICALS on September 13, 2024 and sell it today you would earn a total of 4,480 from holding AIR PRODCHEMICALS or generate 17.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AIR PRODCHEMICALS vs. Charoen Pokphand Foods
Performance |
Timeline |
AIR PRODCHEMICALS |
Charoen Pokphand Foods |
AIR PRODCHEMICALS and Charoen Pokphand Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AIR PRODCHEMICALS and Charoen Pokphand
The main advantage of trading using opposite AIR PRODCHEMICALS and Charoen Pokphand positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AIR PRODCHEMICALS position performs unexpectedly, Charoen Pokphand 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 Charoen Pokphand will offset losses from the drop in Charoen Pokphand's long position.AIR PRODCHEMICALS vs. DICKS Sporting Goods | AIR PRODCHEMICALS vs. Vishay Intertechnology | AIR PRODCHEMICALS vs. Transportadora de Gas | AIR PRODCHEMICALS vs. SCIENCE IN SPORT |
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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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