Correlation Between Mercuries Data and Fubon Financial
Can any of the company-specific risk be diversified away by investing in both Mercuries Data and Fubon Financial 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 Fubon Financial 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 Fubon Financial Holding, you can compare the effects of market volatilities on Mercuries Data and Fubon Financial 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 Fubon Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercuries Data and Fubon Financial.
Diversification Opportunities for Mercuries Data and Fubon Financial
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mercuries and Fubon is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Mercuries Data Systems and Fubon Financial Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fubon Financial Holding 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 Fubon Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fubon Financial Holding has no effect on the direction of Mercuries Data i.e., Mercuries Data and Fubon Financial go up and down completely randomly.
Pair Corralation between Mercuries Data and Fubon Financial
Assuming the 90 days trading horizon Mercuries Data Systems is expected to generate 8.48 times more return on investment than Fubon Financial. However, Mercuries Data is 8.48 times more volatile than Fubon Financial Holding. It trades about 0.01 of its potential returns per unit of risk. Fubon Financial Holding is currently generating about 0.03 per unit of risk. If you would invest 2,765 in Mercuries Data Systems on October 9, 2024 and sell it today you would lose (85.00) from holding Mercuries Data Systems or give up 3.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.47% |
Values | Daily Returns |
Mercuries Data Systems vs. Fubon Financial Holding
Performance |
Timeline |
Mercuries Data Systems |
Fubon Financial Holding |
Mercuries Data and Fubon Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mercuries Data and Fubon Financial
The main advantage of trading using opposite Mercuries Data and Fubon Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercuries Data position performs unexpectedly, Fubon Financial 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 Fubon Financial will offset losses from the drop in Fubon Financial's long position.Mercuries Data vs. Holy Stone Enterprise | Mercuries Data vs. Walsin Technology Corp | Mercuries Data vs. Yageo Corp | Mercuries Data vs. HannStar Board 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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