Correlation Between Daiyang Metal and Daedong Metals
Can any of the company-specific risk be diversified away by investing in both Daiyang Metal and Daedong Metals 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 Daiyang Metal and Daedong Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daiyang Metal Co and Daedong Metals Co, you can compare the effects of market volatilities on Daiyang Metal and Daedong Metals 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 Daiyang Metal with a short position of Daedong Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daiyang Metal and Daedong Metals.
Diversification Opportunities for Daiyang Metal and Daedong Metals
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Daiyang and Daedong is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Daiyang Metal Co and Daedong Metals Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daedong Metals and Daiyang Metal 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 Daiyang Metal Co are associated (or correlated) with Daedong Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daedong Metals has no effect on the direction of Daiyang Metal i.e., Daiyang Metal and Daedong Metals go up and down completely randomly.
Pair Corralation between Daiyang Metal and Daedong Metals
Assuming the 90 days trading horizon Daiyang Metal Co is expected to under-perform the Daedong Metals. But the stock apears to be less risky and, when comparing its historical volatility, Daiyang Metal Co is 1.32 times less risky than Daedong Metals. The stock trades about -0.07 of its potential returns per unit of risk. The Daedong Metals Co is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 647,000 in Daedong Metals Co on September 12, 2024 and sell it today you would earn a total of 96,000 from holding Daedong Metals Co or generate 14.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Daiyang Metal Co vs. Daedong Metals Co
Performance |
Timeline |
Daiyang Metal |
Daedong Metals |
Daiyang Metal and Daedong Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daiyang Metal and Daedong Metals
The main advantage of trading using opposite Daiyang Metal and Daedong Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daiyang Metal position performs unexpectedly, Daedong Metals 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 Daedong Metals will offset losses from the drop in Daedong Metals' long position.Daiyang Metal vs. Samsung Electronics Co | Daiyang Metal vs. Samsung Electronics Co | Daiyang Metal vs. SK Hynix | Daiyang Metal vs. POSCO Holdings |
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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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