Correlation Between EnTie Commercial and Mercuries Life
Can any of the company-specific risk be diversified away by investing in both EnTie Commercial and Mercuries Life 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 EnTie Commercial and Mercuries Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EnTie Commercial Bank and Mercuries Life Insurance, you can compare the effects of market volatilities on EnTie Commercial and Mercuries Life 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 EnTie Commercial with a short position of Mercuries Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of EnTie Commercial and Mercuries Life.
Diversification Opportunities for EnTie Commercial and Mercuries Life
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between EnTie and Mercuries is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding EnTie Commercial Bank and Mercuries Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercuries Life Insurance and EnTie Commercial 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 EnTie Commercial Bank are associated (or correlated) with Mercuries Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercuries Life Insurance has no effect on the direction of EnTie Commercial i.e., EnTie Commercial and Mercuries Life go up and down completely randomly.
Pair Corralation between EnTie Commercial and Mercuries Life
Assuming the 90 days trading horizon EnTie Commercial Bank is expected to generate 1.68 times more return on investment than Mercuries Life. However, EnTie Commercial is 1.68 times more volatile than Mercuries Life Insurance. It trades about -0.15 of its potential returns per unit of risk. Mercuries Life Insurance is currently generating about -0.42 per unit of risk. If you would invest 1,460 in EnTie Commercial Bank on October 6, 2024 and sell it today you would lose (55.00) from holding EnTie Commercial Bank or give up 3.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
EnTie Commercial Bank vs. Mercuries Life Insurance
Performance |
Timeline |
EnTie Commercial Bank |
Mercuries Life Insurance |
EnTie Commercial and Mercuries Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EnTie Commercial and Mercuries Life
The main advantage of trading using opposite EnTie Commercial and Mercuries Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EnTie Commercial position performs unexpectedly, Mercuries Life 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 Life will offset losses from the drop in Mercuries Life's long position.EnTie Commercial vs. Union Bank of | EnTie Commercial vs. Bank of Kaohsiung | EnTie Commercial vs. Taiwan Business Bank | EnTie Commercial vs. Chang Hwa Commercial |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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