Correlation Between Merida Industry and Chung Hsin
Can any of the company-specific risk be diversified away by investing in both Merida Industry and Chung Hsin 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 Chung Hsin 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 Chung Hsin Electric Machinery, you can compare the effects of market volatilities on Merida Industry and Chung Hsin 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 Chung Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merida Industry and Chung Hsin.
Diversification Opportunities for Merida Industry and Chung Hsin
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Merida and Chung is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Merida Industry Co and Chung Hsin Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hsin Electric 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 Chung Hsin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hsin Electric has no effect on the direction of Merida Industry i.e., Merida Industry and Chung Hsin go up and down completely randomly.
Pair Corralation between Merida Industry and Chung Hsin
Assuming the 90 days trading horizon Merida Industry Co is expected to under-perform the Chung Hsin. In addition to that, Merida Industry is 1.2 times more volatile than Chung Hsin Electric Machinery. It trades about -0.21 of its total potential returns per unit of risk. Chung Hsin Electric Machinery is currently generating about -0.09 per unit of volatility. If you would invest 16,750 in Chung Hsin Electric Machinery on September 18, 2024 and sell it today you would lose (1,750) from holding Chung Hsin Electric Machinery or give up 10.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Merida Industry Co vs. Chung Hsin Electric Machinery
Performance |
Timeline |
Merida Industry |
Chung Hsin Electric |
Merida Industry and Chung Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merida Industry and Chung Hsin
The main advantage of trading using opposite Merida Industry and Chung Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merida Industry position performs unexpectedly, Chung Hsin 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 Chung Hsin will offset losses from the drop in Chung Hsin's long position.Merida Industry vs. Feng Tay Enterprises | Merida Industry vs. Ruentex Development Co | Merida Industry vs. WiseChip Semiconductor | Merida Industry vs. Novatek Microelectronics Corp |
Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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