Correlation Between ANTA Sports and China Overseas
Can any of the company-specific risk be diversified away by investing in both ANTA Sports and China Overseas 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 ANTA Sports and China Overseas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ANTA Sports Products and China Overseas Land, you can compare the effects of market volatilities on ANTA Sports and China Overseas 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 ANTA Sports with a short position of China Overseas. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANTA Sports and China Overseas.
Diversification Opportunities for ANTA Sports and China Overseas
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between ANTA and China is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding ANTA Sports Products and China Overseas Land in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Overseas Land and ANTA 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 ANTA Sports Products are associated (or correlated) with China Overseas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Overseas Land has no effect on the direction of ANTA Sports i.e., ANTA Sports and China Overseas go up and down completely randomly.
Pair Corralation between ANTA Sports and China Overseas
Assuming the 90 days trading horizon ANTA Sports Products is expected to generate 1.36 times more return on investment than China Overseas. However, ANTA Sports is 1.36 times more volatile than China Overseas Land. It trades about 0.03 of its potential returns per unit of risk. China Overseas Land is currently generating about -0.05 per unit of risk. If you would invest 992.00 in ANTA Sports Products on April 21, 2025 and sell it today you would earn a total of 23.00 from holding ANTA Sports Products or generate 2.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ANTA Sports Products vs. China Overseas Land
Performance |
Timeline |
ANTA Sports Products |
China Overseas Land |
ANTA Sports and China Overseas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ANTA Sports and China Overseas
The main advantage of trading using opposite ANTA Sports and China Overseas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANTA Sports position performs unexpectedly, China Overseas 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 Overseas will offset losses from the drop in China Overseas' long position.ANTA Sports vs. GOLDGROUP MINING INC | ANTA Sports vs. Aya Gold Silver | ANTA Sports vs. Metallurgical of | ANTA Sports vs. Monument Mining Limited |
China Overseas vs. ANTA Sports Products | China Overseas vs. JD SPORTS FASH | China Overseas vs. LG Display Co | China Overseas vs. PLAYWAY SA ZY 10 |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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