Correlation Between China Steel and Shuang Bang
Can any of the company-specific risk be diversified away by investing in both China Steel 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 China Steel and Shuang Bang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Steel Chemical and Shuang Bang Industrial, you can compare the effects of market volatilities on China Steel 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 China Steel with a short position of Shuang Bang. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Steel and Shuang Bang.
Diversification Opportunities for China Steel and Shuang Bang
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between China and Shuang is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding China Steel Chemical 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 China Steel 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 China Steel Chemical 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 China Steel i.e., China Steel and Shuang Bang go up and down completely randomly.
Pair Corralation between China Steel and Shuang Bang
Assuming the 90 days trading horizon China Steel Chemical is expected to generate 0.56 times more return on investment than Shuang Bang. However, China Steel Chemical is 1.79 times less risky than Shuang Bang. It trades about -0.15 of its potential returns per unit of risk. Shuang Bang Industrial is currently generating about -0.19 per unit of risk. If you would invest 9,720 in China Steel Chemical on October 6, 2024 and sell it today you would lose (520.00) from holding China Steel Chemical or give up 5.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
China Steel Chemical vs. Shuang Bang Industrial
Performance |
Timeline |
China Steel Chemical |
Shuang Bang Industrial |
China Steel and Shuang Bang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Steel and Shuang Bang
The main advantage of trading using opposite China Steel and Shuang Bang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Steel 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.China Steel vs. Formosa Chemicals Fibre | China Steel vs. Formosa Plastics Corp | China Steel vs. Cheng Shin Rubber | China Steel vs. President Chain Store |
Shuang Bang vs. Shiny Chemical Industrial | Shuang Bang vs. Jinan Acetate Chemical | Shuang Bang vs. Coremax Corp | Shuang Bang vs. Kinik Co |
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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