Correlation Between Skardin Industrial and Great China
Can any of the company-specific risk be diversified away by investing in both Skardin Industrial and Great China 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 Skardin Industrial and Great China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Skardin Industrial and Great China Metal, you can compare the effects of market volatilities on Skardin Industrial and Great China 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 Skardin Industrial with a short position of Great China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Skardin Industrial and Great China.
Diversification Opportunities for Skardin Industrial and Great China
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Skardin and Great is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Skardin Industrial and Great China Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great China Metal and Skardin Industrial 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 Skardin Industrial are associated (or correlated) with Great China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great China Metal has no effect on the direction of Skardin Industrial i.e., Skardin Industrial and Great China go up and down completely randomly.
Pair Corralation between Skardin Industrial and Great China
Assuming the 90 days trading horizon Skardin Industrial is expected to generate 7.62 times more return on investment than Great China. However, Skardin Industrial is 7.62 times more volatile than Great China Metal. It trades about 0.19 of its potential returns per unit of risk. Great China Metal is currently generating about 0.04 per unit of risk. If you would invest 6,220 in Skardin Industrial on September 5, 2024 and sell it today you would earn a total of 970.00 from holding Skardin Industrial or generate 15.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
Skardin Industrial vs. Great China Metal
Performance |
| Timeline |
| Skardin Industrial |
| Great China Metal |
Skardin Industrial and Great China Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Skardin Industrial and Great China
The main advantage of trading using opposite Skardin Industrial and Great China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Skardin Industrial position performs unexpectedly, Great China 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 Great China will offset losses from the drop in Great China's long position.| Skardin Industrial vs. Ruentex Engineering Construction | Skardin Industrial vs. Kao Fong Machinery | Skardin Industrial vs. Sporton International | Skardin Industrial vs. Kindom Construction 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 Transaction History module to view history of all your transactions and understand their impact on performance.
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