Correlation Between Powertech Industrial and China Mobile
Can any of the company-specific risk be diversified away by investing in both Powertech Industrial and China Mobile 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 China Mobile 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 China Mobile, you can compare the effects of market volatilities on Powertech Industrial and China Mobile 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 China Mobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Powertech Industrial and China Mobile.
Diversification Opportunities for Powertech Industrial and China Mobile
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Powertech and China is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Powertech Industrial Co and China Mobile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Mobile 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 China Mobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Mobile has no effect on the direction of Powertech Industrial i.e., Powertech Industrial and China Mobile go up and down completely randomly.
Pair Corralation between Powertech Industrial and China Mobile
Assuming the 90 days trading horizon Powertech Industrial Co is expected to generate 3.01 times more return on investment than China Mobile. However, Powertech Industrial is 3.01 times more volatile than China Mobile. It trades about 0.18 of its potential returns per unit of risk. China Mobile is currently generating about -0.04 per unit of risk. If you would invest 2,475 in Powertech Industrial Co on September 15, 2024 and sell it today you would earn a total of 985.00 from holding Powertech Industrial Co or generate 39.8% 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. China Mobile
Performance |
Timeline |
Powertech Industrial |
China Mobile |
Powertech Industrial and China Mobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Powertech Industrial and China Mobile
The main advantage of trading using opposite Powertech Industrial and China Mobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Powertech Industrial position performs unexpectedly, China Mobile 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 China Mobile will offset losses from the drop in China Mobile's long position.Powertech Industrial vs. Wan Hai Lines | Powertech Industrial vs. U Ming Marine Transport | Powertech Industrial vs. China Airlines |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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