Correlation Between Formosan Rubber and Mercuries Data
Can any of the company-specific risk be diversified away by investing in both Formosan Rubber 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 Formosan Rubber and Mercuries Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formosan Rubber Group and Mercuries Data Systems, you can compare the effects of market volatilities on Formosan Rubber 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 Formosan Rubber with a short position of Mercuries Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosan Rubber and Mercuries Data.
Diversification Opportunities for Formosan Rubber and Mercuries Data
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Formosan and Mercuries is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Formosan Rubber Group 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 Formosan Rubber 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 Formosan Rubber Group 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 Formosan Rubber i.e., Formosan Rubber and Mercuries Data go up and down completely randomly.
Pair Corralation between Formosan Rubber and Mercuries Data
Assuming the 90 days trading horizon Formosan Rubber is expected to generate 5.38 times less return on investment than Mercuries Data. But when comparing it to its historical volatility, Formosan Rubber Group is 2.97 times less risky than Mercuries Data. It trades about 0.04 of its potential returns per unit of risk. Mercuries Data Systems is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,190 in Mercuries Data Systems on October 5, 2024 and sell it today you would earn a total of 1,635 from holding Mercuries Data Systems or generate 137.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Formosan Rubber Group vs. Mercuries Data Systems
Performance |
Timeline |
Formosan Rubber Group |
Mercuries Data Systems |
Formosan Rubber and Mercuries Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosan Rubber and Mercuries Data
The main advantage of trading using opposite Formosan Rubber and Mercuries Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosan Rubber 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.Formosan Rubber vs. Tainan Spinning Co | Formosan Rubber vs. Lealea Enterprise Co | Formosan Rubber vs. China Petrochemical Development | Formosan Rubber vs. Taiwan Styrene Monomer |
Mercuries Data vs. United Microelectronics | Mercuries Data vs. MediaTek | Mercuries Data vs. Chunghwa Telecom Co | Mercuries Data vs. Delta Electronics |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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