Correlation Between Dagang Nexchange and Mycron Steel
Can any of the company-specific risk be diversified away by investing in both Dagang Nexchange and Mycron Steel 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 Mycron Steel 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 Mycron Steel Bhd, you can compare the effects of market volatilities on Dagang Nexchange and Mycron Steel 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 Mycron Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dagang Nexchange and Mycron Steel.
Diversification Opportunities for Dagang Nexchange and Mycron Steel
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dagang and Mycron is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Dagang Nexchange Bhd and Mycron Steel Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mycron Steel Bhd 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 Mycron Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mycron Steel Bhd has no effect on the direction of Dagang Nexchange i.e., Dagang Nexchange and Mycron Steel go up and down completely randomly.
Pair Corralation between Dagang Nexchange and Mycron Steel
Assuming the 90 days trading horizon Dagang Nexchange Bhd is expected to under-perform the Mycron Steel. But the stock apears to be less risky and, when comparing its historical volatility, Dagang Nexchange Bhd is 1.85 times less risky than Mycron Steel. The stock trades about -0.15 of its potential returns per unit of risk. The Mycron Steel Bhd is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 35.00 in Mycron Steel Bhd on December 11, 2024 and sell it today you would lose (3.00) from holding Mycron Steel Bhd or give up 8.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dagang Nexchange Bhd vs. Mycron Steel Bhd
Performance |
Timeline |
Dagang Nexchange Bhd |
Mycron Steel Bhd |
Dagang Nexchange and Mycron Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dagang Nexchange and Mycron Steel
The main advantage of trading using opposite Dagang Nexchange and Mycron Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dagang Nexchange position performs unexpectedly, Mycron Steel 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 Mycron Steel will offset losses from the drop in Mycron Steel's long position.Dagang Nexchange vs. Awanbiru Technology Bhd | Dagang Nexchange vs. Senheng New Retail | Dagang Nexchange vs. Sports Toto Berhad | Dagang Nexchange vs. Central Industrial Corp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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