Correlation Between Grand Ocean and Shuang Bang
Can any of the company-specific risk be diversified away by investing in both Grand Ocean and Shuang Bang 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 Grand Ocean and Shuang Bang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grand Ocean Retail and Shuang Bang Industrial, you can compare the effects of market volatilities on Grand Ocean and Shuang Bang 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 Grand Ocean with a short position of Shuang Bang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grand Ocean and Shuang Bang.
Diversification Opportunities for Grand Ocean and Shuang Bang
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Grand and Shuang is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Grand Ocean Retail and Shuang Bang Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shuang Bang Industrial and Grand Ocean 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 Grand Ocean Retail are associated (or correlated) with Shuang Bang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shuang Bang Industrial has no effect on the direction of Grand Ocean i.e., Grand Ocean and Shuang Bang go up and down completely randomly.
Pair Corralation between Grand Ocean and Shuang Bang
Assuming the 90 days trading horizon Grand Ocean Retail is expected to generate 1.62 times more return on investment than Shuang Bang. However, Grand Ocean is 1.62 times more volatile than Shuang Bang Industrial. It trades about 0.15 of its potential returns per unit of risk. Shuang Bang Industrial is currently generating about 0.02 per unit of risk. If you would invest 845.00 in Grand Ocean Retail on September 16, 2024 and sell it today you would earn a total of 395.00 from holding Grand Ocean Retail or generate 46.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Grand Ocean Retail vs. Shuang Bang Industrial
Performance |
Timeline |
Grand Ocean Retail |
Shuang Bang Industrial |
Grand Ocean and Shuang Bang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grand Ocean and Shuang Bang
The main advantage of trading using opposite Grand Ocean and Shuang Bang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grand Ocean position performs unexpectedly, Shuang Bang 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 Shuang Bang will offset losses from the drop in Shuang Bang's long position.Grand Ocean vs. Feng Tay Enterprises | Grand Ocean vs. Ruentex Development Co | Grand Ocean vs. WiseChip Semiconductor | Grand Ocean vs. Novatek Microelectronics Corp |
Shuang Bang vs. Delta Electronics | Shuang Bang vs. Ruentex Development Co | Shuang Bang vs. WiseChip Semiconductor | Shuang Bang vs. Novatek Microelectronics 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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