Correlation Between Chonburi Concrete and Dcon Products
Can any of the company-specific risk be diversified away by investing in both Chonburi Concrete and Dcon Products 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 Chonburi Concrete and Dcon Products into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chonburi Concrete Product and Dcon Products Public, you can compare the effects of market volatilities on Chonburi Concrete and Dcon Products 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 Chonburi Concrete with a short position of Dcon Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chonburi Concrete and Dcon Products.
Diversification Opportunities for Chonburi Concrete and Dcon Products
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Chonburi and Dcon is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Chonburi Concrete Product and Dcon Products Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dcon Products Public and Chonburi Concrete 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 Chonburi Concrete Product are associated (or correlated) with Dcon Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dcon Products Public has no effect on the direction of Chonburi Concrete i.e., Chonburi Concrete and Dcon Products go up and down completely randomly.
Pair Corralation between Chonburi Concrete and Dcon Products
Assuming the 90 days trading horizon Chonburi Concrete Product is expected to generate 1.0 times more return on investment than Dcon Products. However, Chonburi Concrete Product is 1.0 times less risky than Dcon Products. It trades about 0.05 of its potential returns per unit of risk. Dcon Products Public is currently generating about 0.05 per unit of risk. If you would invest 33.00 in Chonburi Concrete Product on September 12, 2024 and sell it today you would lose (4.00) from holding Chonburi Concrete Product or give up 12.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Chonburi Concrete Product vs. Dcon Products Public
Performance |
Timeline |
Chonburi Concrete Product |
Dcon Products Public |
Chonburi Concrete and Dcon Products Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chonburi Concrete and Dcon Products
The main advantage of trading using opposite Chonburi Concrete and Dcon Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chonburi Concrete position performs unexpectedly, Dcon Products 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 Dcon Products will offset losses from the drop in Dcon Products' long position.Chonburi Concrete vs. Thantawan Industry Public | Chonburi Concrete vs. The Erawan Group | Chonburi Concrete vs. Jay Mart Public | Chonburi Concrete vs. Airports of Thailand |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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