Correlation Between China Construction and PT Bank
Can any of the company-specific risk be diversified away by investing in both China Construction and PT Bank 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 Construction and PT Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Construction Bank and PT Bank Central, you can compare the effects of market volatilities on China Construction and PT Bank 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 Construction with a short position of PT Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Construction and PT Bank.
Diversification Opportunities for China Construction and PT Bank
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between China and BZG2 is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding China Construction Bank and PT Bank Central in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Bank Central and China Construction 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 Construction Bank are associated (or correlated) with PT Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Bank Central has no effect on the direction of China Construction i.e., China Construction and PT Bank go up and down completely randomly.
Pair Corralation between China Construction and PT Bank
Assuming the 90 days horizon China Construction Bank is expected to generate 1.07 times more return on investment than PT Bank. However, China Construction is 1.07 times more volatile than PT Bank Central. It trades about 0.15 of its potential returns per unit of risk. PT Bank Central is currently generating about 0.0 per unit of risk. If you would invest 52.00 in China Construction Bank on October 25, 2024 and sell it today you would earn a total of 23.00 from holding China Construction Bank or generate 44.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Construction Bank vs. PT Bank Central
Performance |
Timeline |
China Construction Bank |
PT Bank Central |
China Construction and PT Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Construction and PT Bank
The main advantage of trading using opposite China Construction and PT Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Construction position performs unexpectedly, PT Bank 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 PT Bank will offset losses from the drop in PT Bank's long position.China Construction vs. SAN MIGUEL BREWERY | China Construction vs. Shin Etsu Chemical Co | China Construction vs. MOLSON RS BEVERAGE | China Construction vs. Tsingtao Brewery |
PT Bank vs. Tsingtao Brewery | PT Bank vs. The Boston Beer | PT Bank vs. MOLSON RS BEVERAGE | PT Bank vs. CARSALESCOM |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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