Correlation Between Dagang Nexchange and ES Ceramics
Can any of the company-specific risk be diversified away by investing in both Dagang Nexchange and ES Ceramics 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 Dagang Nexchange and ES Ceramics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dagang Nexchange Bhd and ES Ceramics Technology, you can compare the effects of market volatilities on Dagang Nexchange and ES Ceramics 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 Dagang Nexchange with a short position of ES Ceramics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dagang Nexchange and ES Ceramics.
Diversification Opportunities for Dagang Nexchange and ES Ceramics
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dagang and 0100 is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Dagang Nexchange Bhd and ES Ceramics Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ES Ceramics Technology and Dagang Nexchange 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 Dagang Nexchange Bhd are associated (or correlated) with ES Ceramics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ES Ceramics Technology has no effect on the direction of Dagang Nexchange i.e., Dagang Nexchange and ES Ceramics go up and down completely randomly.
Pair Corralation between Dagang Nexchange and ES Ceramics
Assuming the 90 days trading horizon Dagang Nexchange Bhd is expected to under-perform the ES Ceramics. But the stock apears to be less risky and, when comparing its historical volatility, Dagang Nexchange Bhd is 1.4 times less risky than ES Ceramics. The stock trades about -0.04 of its potential returns per unit of risk. The ES Ceramics Technology is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 20.00 in ES Ceramics Technology on September 27, 2024 and sell it today you would lose (4.00) from holding ES Ceramics Technology or give up 20.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dagang Nexchange Bhd vs. ES Ceramics Technology
Performance |
Timeline |
Dagang Nexchange Bhd |
ES Ceramics Technology |
Dagang Nexchange and ES Ceramics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dagang Nexchange and ES Ceramics
The main advantage of trading using opposite Dagang Nexchange and ES Ceramics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dagang Nexchange position performs unexpectedly, ES Ceramics 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 ES Ceramics will offset losses from the drop in ES Ceramics' long position.Dagang Nexchange vs. Datasonic Group Bhd | Dagang Nexchange vs. Awanbiru Technology Bhd | Dagang Nexchange vs. Dataprep Holdings Bhd | Dagang Nexchange vs. TechnoDex Bhd |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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