Correlation Between Powertech Industrial and Great China
Can any of the company-specific risk be diversified away by investing in both Powertech 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 Powertech 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 Powertech Industrial Co and Great China Metal, you can compare the effects of market volatilities on Powertech 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 Powertech Industrial with a short position of Great China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Powertech Industrial and Great China.
Diversification Opportunities for Powertech Industrial and Great China
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Powertech and Great is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Powertech Industrial Co 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 Powertech 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 Powertech Industrial Co 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 Powertech Industrial i.e., Powertech Industrial and Great China go up and down completely randomly.
Pair Corralation between Powertech Industrial and Great China
Assuming the 90 days trading horizon Powertech Industrial Co is expected to under-perform the Great China. In addition to that, Powertech Industrial is 6.72 times more volatile than Great China Metal. It trades about -0.06 of its total potential returns per unit of risk. Great China Metal is currently generating about 0.19 per unit of volatility. If you would invest 2,295 in Great China Metal on December 5, 2024 and sell it today you would earn a total of 115.00 from holding Great China Metal or generate 5.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Powertech Industrial Co vs. Great China Metal
Performance |
Timeline |
Powertech Industrial |
Great China Metal |
Powertech Industrial and Great China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Powertech Industrial and Great China
The main advantage of trading using opposite Powertech Industrial and Great China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Powertech 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.Powertech Industrial vs. Leader Electronics | Powertech Industrial vs. Darwin Precisions Corp | Powertech Industrial vs. Silitech Technology Corp | Powertech Industrial vs. Altek Corp |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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