Correlation Between Yong Shun and Mercuries Life
Can any of the company-specific risk be diversified away by investing in both Yong Shun 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 Yong Shun and Mercuries Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yong Shun Chemical and Mercuries Life Insurance, you can compare the effects of market volatilities on Yong Shun 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 Yong Shun with a short position of Mercuries Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yong Shun and Mercuries Life.
Diversification Opportunities for Yong Shun and Mercuries Life
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Yong and Mercuries is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Yong Shun Chemical 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 Yong Shun 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 Yong Shun Chemical 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 Yong Shun i.e., Yong Shun and Mercuries Life go up and down completely randomly.
Pair Corralation between Yong Shun and Mercuries Life
Assuming the 90 days trading horizon Yong Shun Chemical is expected to generate 2.06 times more return on investment than Mercuries Life. However, Yong Shun is 2.06 times more volatile than Mercuries Life Insurance. It trades about -0.03 of its potential returns per unit of risk. Mercuries Life Insurance is currently generating about -0.23 per unit of risk. If you would invest 1,685 in Yong Shun Chemical on September 16, 2024 and sell it today you would lose (115.00) from holding Yong Shun Chemical or give up 6.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Yong Shun Chemical vs. Mercuries Life Insurance
Performance |
Timeline |
Yong Shun Chemical |
Mercuries Life Insurance |
Yong Shun and Mercuries Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yong Shun and Mercuries Life
The main advantage of trading using opposite Yong Shun and Mercuries Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yong Shun 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.Yong Shun vs. Mercuries Life Insurance | Yong Shun vs. Sun Sea Construction | Yong Shun vs. Dawushan Farm Tech | Yong Shun vs. China Construction Bank |
Mercuries Life vs. Central Reinsurance Corp | Mercuries Life vs. Huaku Development Co | Mercuries Life vs. Fubon Financial Holding | Mercuries Life vs. Chailease Holding Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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