Correlation Between Far EasTone and Mercuries Data
Can any of the company-specific risk be diversified away by investing in both Far EasTone and Mercuries Data 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 Far EasTone and Mercuries Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Far EasTone Telecommunications and Mercuries Data Systems, you can compare the effects of market volatilities on Far EasTone and Mercuries Data 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 Far EasTone with a short position of Mercuries Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Far EasTone and Mercuries Data.
Diversification Opportunities for Far EasTone and Mercuries Data
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Far and Mercuries is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Far EasTone Telecommunications and Mercuries Data Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercuries Data Systems and Far EasTone 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 Far EasTone Telecommunications are associated (or correlated) with Mercuries Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercuries Data Systems has no effect on the direction of Far EasTone i.e., Far EasTone and Mercuries Data go up and down completely randomly.
Pair Corralation between Far EasTone and Mercuries Data
Assuming the 90 days trading horizon Far EasTone Telecommunications is expected to generate 0.32 times more return on investment than Mercuries Data. However, Far EasTone Telecommunications is 3.15 times less risky than Mercuries Data. It trades about -0.1 of its potential returns per unit of risk. Mercuries Data Systems is currently generating about -0.09 per unit of risk. If you would invest 9,000 in Far EasTone Telecommunications on October 9, 2024 and sell it today you would lose (170.00) from holding Far EasTone Telecommunications or give up 1.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Far EasTone Telecommunications vs. Mercuries Data Systems
Performance |
Timeline |
Far EasTone Telecomm |
Mercuries Data Systems |
Far EasTone and Mercuries Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Far EasTone and Mercuries Data
The main advantage of trading using opposite Far EasTone and Mercuries Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Far EasTone position performs unexpectedly, Mercuries Data 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 Mercuries Data will offset losses from the drop in Mercuries Data's long position.Far EasTone vs. Taiwan Mobile Co | Far EasTone vs. Chunghwa Telecom Co | Far EasTone vs. President Chain Store | Far EasTone vs. Formosa Petrochemical Corp |
Mercuries Data vs. Holy Stone Enterprise | Mercuries Data vs. Walsin Technology Corp | Mercuries Data vs. Yageo Corp | Mercuries Data vs. HannStar Board Corp |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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