Correlation Between Wan Hai and Shieh Yih
Can any of the company-specific risk be diversified away by investing in both Wan Hai and Shieh Yih 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 Wan Hai and Shieh Yih into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wan Hai Lines and Shieh Yih Machinery, you can compare the effects of market volatilities on Wan Hai and Shieh Yih 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 Wan Hai with a short position of Shieh Yih. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wan Hai and Shieh Yih.
Diversification Opportunities for Wan Hai and Shieh Yih
Average diversification
The 3 months correlation between Wan and Shieh is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Wan Hai Lines and Shieh Yih Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shieh Yih Machinery and Wan Hai 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 Wan Hai Lines are associated (or correlated) with Shieh Yih. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shieh Yih Machinery has no effect on the direction of Wan Hai i.e., Wan Hai and Shieh Yih go up and down completely randomly.
Pair Corralation between Wan Hai and Shieh Yih
Assuming the 90 days trading horizon Wan Hai is expected to generate 7.65 times less return on investment than Shieh Yih. But when comparing it to its historical volatility, Wan Hai Lines is 1.23 times less risky than Shieh Yih. It trades about 0.02 of its potential returns per unit of risk. Shieh Yih Machinery is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,013 in Shieh Yih Machinery on September 20, 2024 and sell it today you would earn a total of 2,947 from holding Shieh Yih Machinery or generate 290.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wan Hai Lines vs. Shieh Yih Machinery
Performance |
Timeline |
Wan Hai Lines |
Shieh Yih Machinery |
Wan Hai and Shieh Yih Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wan Hai and Shieh Yih
The main advantage of trading using opposite Wan Hai and Shieh Yih positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wan Hai position performs unexpectedly, Shieh Yih 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 Shieh Yih will offset losses from the drop in Shieh Yih's long position.The idea behind Wan Hai Lines and Shieh Yih Machinery pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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