Correlation Between Mercuries Data and Sung Gang
Can any of the company-specific risk be diversified away by investing in both Mercuries Data and Sung Gang 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 Mercuries Data and Sung Gang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mercuries Data Systems and Sung Gang Asset, you can compare the effects of market volatilities on Mercuries Data and Sung Gang 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 Mercuries Data with a short position of Sung Gang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercuries Data and Sung Gang.
Diversification Opportunities for Mercuries Data and Sung Gang
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Mercuries and Sung is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Mercuries Data Systems and Sung Gang Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sung Gang Asset and Mercuries Data 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 Mercuries Data Systems are associated (or correlated) with Sung Gang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sung Gang Asset has no effect on the direction of Mercuries Data i.e., Mercuries Data and Sung Gang go up and down completely randomly.
Pair Corralation between Mercuries Data and Sung Gang
Assuming the 90 days trading horizon Mercuries Data Systems is expected to generate 0.7 times more return on investment than Sung Gang. However, Mercuries Data Systems is 1.43 times less risky than Sung Gang. It trades about 0.03 of its potential returns per unit of risk. Sung Gang Asset is currently generating about -0.05 per unit of risk. If you would invest 2,660 in Mercuries Data Systems on October 6, 2024 and sell it today you would earn a total of 70.00 from holding Mercuries Data Systems or generate 2.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Mercuries Data Systems vs. Sung Gang Asset
Performance |
Timeline |
Mercuries Data Systems |
Sung Gang Asset |
Mercuries Data and Sung Gang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mercuries Data and Sung Gang
The main advantage of trading using opposite Mercuries Data and Sung Gang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercuries Data position performs unexpectedly, Sung Gang 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 Sung Gang will offset losses from the drop in Sung Gang's long position.Mercuries Data vs. United Microelectronics | Mercuries Data vs. MediaTek | Mercuries Data vs. Chunghwa Telecom Co | Mercuries Data vs. Delta Electronics |
Sung Gang vs. Tai Tung Communication | Sung Gang vs. Cameo Communications | Sung Gang vs. Chinese Maritime Transport | Sung Gang vs. TWOWAY Communications |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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