Correlation Between Walsin Technology and Cheng Mei
Can any of the company-specific risk be diversified away by investing in both Walsin Technology and Cheng Mei 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 Walsin Technology and Cheng Mei into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walsin Technology Corp and Cheng Mei Materials, you can compare the effects of market volatilities on Walsin Technology and Cheng Mei 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 Walsin Technology with a short position of Cheng Mei. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walsin Technology and Cheng Mei.
Diversification Opportunities for Walsin Technology and Cheng Mei
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Walsin and Cheng is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Walsin Technology Corp and Cheng Mei Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cheng Mei Materials and Walsin Technology 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 Walsin Technology Corp are associated (or correlated) with Cheng Mei. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cheng Mei Materials has no effect on the direction of Walsin Technology i.e., Walsin Technology and Cheng Mei go up and down completely randomly.
Pair Corralation between Walsin Technology and Cheng Mei
Assuming the 90 days trading horizon Walsin Technology Corp is expected to under-perform the Cheng Mei. In addition to that, Walsin Technology is 1.25 times more volatile than Cheng Mei Materials. It trades about -0.1 of its total potential returns per unit of risk. Cheng Mei Materials is currently generating about 0.05 per unit of volatility. If you would invest 1,285 in Cheng Mei Materials on October 9, 2024 and sell it today you would earn a total of 30.00 from holding Cheng Mei Materials or generate 2.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Walsin Technology Corp vs. Cheng Mei Materials
Performance |
Timeline |
Walsin Technology Corp |
Cheng Mei Materials |
Walsin Technology and Cheng Mei Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walsin Technology and Cheng Mei
The main advantage of trading using opposite Walsin Technology and Cheng Mei positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walsin Technology position performs unexpectedly, Cheng Mei 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 Cheng Mei will offset losses from the drop in Cheng Mei's long position.Walsin Technology vs. Holy Stone Enterprise | Walsin Technology vs. Yageo Corp | Walsin Technology vs. HannStar Board Corp |
Cheng Mei vs. Holy Stone Enterprise | Cheng Mei vs. Walsin Technology Corp | Cheng Mei vs. Yageo Corp | Cheng Mei vs. HannStar Board 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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