Correlation Between Dongwon Metal and Digital Power
Can any of the company-specific risk be diversified away by investing in both Dongwon Metal and Digital Power 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 Dongwon Metal and Digital Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongwon Metal Co and Digital Power Communications, you can compare the effects of market volatilities on Dongwon Metal and Digital Power 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 Dongwon Metal with a short position of Digital Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongwon Metal and Digital Power.
Diversification Opportunities for Dongwon Metal and Digital Power
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dongwon and Digital is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Dongwon Metal Co and Digital Power Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital Power Commun and Dongwon 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 Dongwon Metal Co are associated (or correlated) with Digital Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital Power Commun has no effect on the direction of Dongwon Metal i.e., Dongwon Metal and Digital Power go up and down completely randomly.
Pair Corralation between Dongwon Metal and Digital Power
Assuming the 90 days trading horizon Dongwon Metal Co is expected to under-perform the Digital Power. In addition to that, Dongwon Metal is 2.85 times more volatile than Digital Power Communications. It trades about 0.0 of its total potential returns per unit of risk. Digital Power Communications is currently generating about 0.05 per unit of volatility. If you would invest 863,000 in Digital Power Communications on December 30, 2024 and sell it today you would earn a total of 50,000 from holding Digital Power Communications or generate 5.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongwon Metal Co vs. Digital Power Communications
Performance |
Timeline |
Dongwon Metal |
Digital Power Commun |
Dongwon Metal and Digital Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongwon Metal and Digital Power
The main advantage of trading using opposite Dongwon Metal and Digital Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongwon Metal position performs unexpectedly, Digital Power 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 Digital Power will offset losses from the drop in Digital Power's long position.Dongwon Metal vs. Youngsin Metal Industrial | Dongwon Metal vs. Samyang Foods Co | Dongwon Metal vs. Tuksu Engineering ConstructionLtd | Dongwon Metal vs. ENERGYMACHINERY KOREA CoLtd |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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