Correlation Between Ducgiang Chemicals and Danang Rubber
Can any of the company-specific risk be diversified away by investing in both Ducgiang Chemicals and Danang Rubber 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 Ducgiang Chemicals and Danang Rubber into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ducgiang Chemicals Detergent and Danang Rubber JSC, you can compare the effects of market volatilities on Ducgiang Chemicals and Danang Rubber 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 Ducgiang Chemicals with a short position of Danang Rubber. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ducgiang Chemicals and Danang Rubber.
Diversification Opportunities for Ducgiang Chemicals and Danang Rubber
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ducgiang and Danang is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Ducgiang Chemicals Detergent and Danang Rubber JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Danang Rubber JSC and Ducgiang Chemicals 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 Ducgiang Chemicals Detergent are associated (or correlated) with Danang Rubber. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Danang Rubber JSC has no effect on the direction of Ducgiang Chemicals i.e., Ducgiang Chemicals and Danang Rubber go up and down completely randomly.
Pair Corralation between Ducgiang Chemicals and Danang Rubber
Assuming the 90 days trading horizon Ducgiang Chemicals Detergent is expected to generate 1.08 times more return on investment than Danang Rubber. However, Ducgiang Chemicals is 1.08 times more volatile than Danang Rubber JSC. It trades about 0.06 of its potential returns per unit of risk. Danang Rubber JSC is currently generating about -0.11 per unit of risk. If you would invest 10,912,400 in Ducgiang Chemicals Detergent on September 16, 2024 and sell it today you would earn a total of 577,600 from holding Ducgiang Chemicals Detergent or generate 5.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ducgiang Chemicals Detergent vs. Danang Rubber JSC
Performance |
Timeline |
Ducgiang Chemicals |
Danang Rubber JSC |
Ducgiang Chemicals and Danang Rubber Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ducgiang Chemicals and Danang Rubber
The main advantage of trading using opposite Ducgiang Chemicals and Danang Rubber positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ducgiang Chemicals position performs unexpectedly, Danang Rubber 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 Danang Rubber will offset losses from the drop in Danang Rubber's long position.Ducgiang Chemicals vs. FIT INVEST JSC | Ducgiang Chemicals vs. Damsan JSC | Ducgiang Chemicals vs. An Phat Plastic | Ducgiang Chemicals vs. Alphanam ME |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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