Correlation Between Merida Industry and Cub Elecparts
Can any of the company-specific risk be diversified away by investing in both Merida Industry and Cub Elecparts 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 Cub Elecparts 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 Cub Elecparts, you can compare the effects of market volatilities on Merida Industry and Cub Elecparts 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 Cub Elecparts. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merida Industry and Cub Elecparts.
Diversification Opportunities for Merida Industry and Cub Elecparts
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Merida and Cub is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Merida Industry Co and Cub Elecparts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cub Elecparts 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 Cub Elecparts. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cub Elecparts has no effect on the direction of Merida Industry i.e., Merida Industry and Cub Elecparts go up and down completely randomly.
Pair Corralation between Merida Industry and Cub Elecparts
Assuming the 90 days trading horizon Merida Industry Co is expected to under-perform the Cub Elecparts. In addition to that, Merida Industry is 1.23 times more volatile than Cub Elecparts. It trades about -0.1 of its total potential returns per unit of risk. Cub Elecparts is currently generating about -0.06 per unit of volatility. If you would invest 12,050 in Cub Elecparts on September 23, 2024 and sell it today you would lose (1,950) from holding Cub Elecparts or give up 16.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Merida Industry Co vs. Cub Elecparts
Performance |
Timeline |
Merida Industry |
Cub Elecparts |
Merida Industry and Cub Elecparts Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merida Industry and Cub Elecparts
The main advantage of trading using opposite Merida Industry and Cub Elecparts positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merida Industry position performs unexpectedly, Cub Elecparts 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 Cub Elecparts will offset losses from the drop in Cub Elecparts' long position.Merida Industry vs. Cheng Shin Rubber | Merida Industry vs. Uni President Enterprises Corp | Merida Industry vs. Pou Chen Corp |
Cub Elecparts vs. Merida Industry Co | Cub Elecparts vs. Cheng Shin Rubber | Cub Elecparts vs. Uni President Enterprises Corp | Cub Elecparts 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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