Correlation Between JD SPORTS and China Energy
Can any of the company-specific risk be diversified away by investing in both JD SPORTS 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 JD SPORTS and China Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JD SPORTS FASH and China Energy Engineering, you can compare the effects of market volatilities on JD SPORTS 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 JD SPORTS with a short position of China Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of JD SPORTS and China Energy.
Diversification Opportunities for JD SPORTS and China Energy
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 9JD and China is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding JD SPORTS FASH 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 JD SPORTS 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 JD SPORTS FASH 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 JD SPORTS i.e., JD SPORTS and China Energy go up and down completely randomly.
Pair Corralation between JD SPORTS and China Energy
Assuming the 90 days horizon JD SPORTS FASH is expected to under-perform the China Energy. But the stock apears to be less risky and, when comparing its historical volatility, JD SPORTS FASH is 1.5 times less risky than China Energy. The stock trades about -0.15 of its potential returns per unit of risk. The China Energy Engineering is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 11.00 in China Energy Engineering on October 11, 2024 and sell it today you would earn a total of 0.00 from holding China Energy Engineering or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JD SPORTS FASH vs. China Energy Engineering
Performance |
Timeline |
JD SPORTS FASH |
China Energy Engineering |
JD SPORTS and China Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JD SPORTS and China Energy
The main advantage of trading using opposite JD SPORTS and China Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JD SPORTS 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.JD SPORTS vs. ALERION CLEANPOWER | JD SPORTS vs. ScanSource | JD SPORTS vs. Cleanaway Waste Management | JD SPORTS vs. Carnegie Clean Energy |
China Energy vs. Yuexiu Transport Infrastructure | China Energy vs. KENEDIX OFFICE INV | China Energy vs. Warner Music Group | China Energy vs. ANTA SPORTS PRODUCT |
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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