Correlation Between Merida Industry and Shan Loong
Can any of the company-specific risk be diversified away by investing in both Merida Industry and Shan Loong 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 Merida Industry and Shan Loong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merida Industry Co and Shan Loong Transportation Co, you can compare the effects of market volatilities on Merida Industry and Shan Loong 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 Merida Industry with a short position of Shan Loong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merida Industry and Shan Loong.
Diversification Opportunities for Merida Industry and Shan Loong
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Merida and Shan is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Merida Industry Co and Shan Loong Transportation Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shan Loong Transport and Merida Industry 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 Merida Industry Co are associated (or correlated) with Shan Loong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shan Loong Transport has no effect on the direction of Merida Industry i.e., Merida Industry and Shan Loong go up and down completely randomly.
Pair Corralation between Merida Industry and Shan Loong
Assuming the 90 days trading horizon Merida Industry Co is expected to generate 2.56 times more return on investment than Shan Loong. However, Merida Industry is 2.56 times more volatile than Shan Loong Transportation Co. It trades about 0.0 of its potential returns per unit of risk. Shan Loong Transportation Co is currently generating about -0.14 per unit of risk. If you would invest 16,539 in Merida Industry Co on September 23, 2024 and sell it today you would lose (1,039) from holding Merida Industry Co or give up 6.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Merida Industry Co vs. Shan Loong Transportation Co
Performance |
Timeline |
Merida Industry |
Shan Loong Transport |
Merida Industry and Shan Loong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merida Industry and Shan Loong
The main advantage of trading using opposite Merida Industry and Shan Loong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merida Industry position performs unexpectedly, Shan Loong 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 Shan Loong will offset losses from the drop in Shan Loong's long position.Merida Industry vs. Cheng Shin Rubber | Merida Industry vs. Uni President Enterprises Corp | Merida Industry vs. Pou Chen Corp |
Shan Loong vs. Merida Industry Co | Shan Loong vs. Cheng Shin Rubber | Shan Loong vs. Uni President Enterprises Corp | Shan Loong vs. Pou Chen 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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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