Correlation Between Astar and Shih Wei
Can any of the company-specific risk be diversified away by investing in both Astar and Shih Wei 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 Astar and Shih Wei into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astar and Shih Wei Navigation, you can compare the effects of market volatilities on Astar and Shih Wei 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 Astar with a short position of Shih Wei. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astar and Shih Wei.
Diversification Opportunities for Astar and Shih Wei
Excellent diversification
The 3 months correlation between Astar and Shih is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Astar and Shih Wei Navigation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shih Wei Navigation and Astar 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 Astar are associated (or correlated) with Shih Wei. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shih Wei Navigation has no effect on the direction of Astar i.e., Astar and Shih Wei go up and down completely randomly.
Pair Corralation between Astar and Shih Wei
Assuming the 90 days trading horizon Astar is expected to under-perform the Shih Wei. In addition to that, Astar is 1.91 times more volatile than Shih Wei Navigation. It trades about -0.18 of its total potential returns per unit of risk. Shih Wei Navigation is currently generating about 0.16 per unit of volatility. If you would invest 1,685 in Shih Wei Navigation on December 21, 2024 and sell it today you would earn a total of 385.00 from holding Shih Wei Navigation or generate 22.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 87.3% |
Values | Daily Returns |
Astar vs. Shih Wei Navigation
Performance |
Timeline |
Astar |
Shih Wei Navigation |
Astar and Shih Wei Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astar and Shih Wei
The main advantage of trading using opposite Astar and Shih Wei positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astar position performs unexpectedly, Shih Wei 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 Shih Wei will offset losses from the drop in Shih Wei's long position.The idea behind Astar and Shih Wei Navigation 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.Shih Wei vs. Sincere Navigation Corp | Shih Wei vs. U Ming Marine Transport | Shih Wei vs. Taiwan Navigation Co | Shih Wei vs. Wan Hai Lines |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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