Correlation Between GEELY AUTOMOBILE and China Energy
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and China Energy 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 GEELY AUTOMOBILE and China Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and China Energy Engineering, you can compare the effects of market volatilities on GEELY AUTOMOBILE and China Energy 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 GEELY AUTOMOBILE with a short position of China Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and China Energy.
Diversification Opportunities for GEELY AUTOMOBILE and China Energy
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between GEELY and China is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and China Energy Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Energy Engineering and GEELY AUTOMOBILE 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 GEELY AUTOMOBILE are associated (or correlated) with China Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Energy Engineering has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and China Energy go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and China Energy
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 0.56 times more return on investment than China Energy. However, GEELY AUTOMOBILE is 1.79 times less risky than China Energy. It trades about 0.07 of its potential returns per unit of risk. China Energy Engineering is currently generating about 0.03 per unit of risk. If you would invest 189.00 in GEELY AUTOMOBILE on December 20, 2024 and sell it today you would earn a total of 22.00 from holding GEELY AUTOMOBILE or generate 11.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. China Energy Engineering
Performance |
Timeline |
GEELY AUTOMOBILE |
China Energy Engineering |
GEELY AUTOMOBILE and China Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and China Energy
The main advantage of trading using opposite GEELY AUTOMOBILE and China Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, China Energy 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 Energy will offset losses from the drop in China Energy's long position.GEELY AUTOMOBILE vs. International Consolidated Airlines | GEELY AUTOMOBILE vs. SINGAPORE AIRLINES | GEELY AUTOMOBILE vs. Stewart Information Services | GEELY AUTOMOBILE vs. DATATEC LTD 2 |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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