Correlation Between Anhui Transport and Guangdong Brandmax
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By analyzing existing cross correlation between Anhui Transport Consulting and Guangdong Brandmax Marketing, you can compare the effects of market volatilities on Anhui Transport and Guangdong Brandmax 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 Anhui Transport with a short position of Guangdong Brandmax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Anhui Transport and Guangdong Brandmax.
Diversification Opportunities for Anhui Transport and Guangdong Brandmax
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Anhui and Guangdong is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Anhui Transport Consulting and Guangdong Brandmax Marketing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangdong Brandmax and Anhui Transport 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 Anhui Transport Consulting are associated (or correlated) with Guangdong Brandmax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangdong Brandmax has no effect on the direction of Anhui Transport i.e., Anhui Transport and Guangdong Brandmax go up and down completely randomly.
Pair Corralation between Anhui Transport and Guangdong Brandmax
Assuming the 90 days trading horizon Anhui Transport Consulting is expected to under-perform the Guangdong Brandmax. But the stock apears to be less risky and, when comparing its historical volatility, Anhui Transport Consulting is 5.44 times less risky than Guangdong Brandmax. The stock trades about -0.32 of its potential returns per unit of risk. The Guangdong Brandmax Marketing is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 999.00 in Guangdong Brandmax Marketing on October 10, 2024 and sell it today you would earn a total of 71.00 from holding Guangdong Brandmax Marketing or generate 7.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Anhui Transport Consulting vs. Guangdong Brandmax Marketing
Performance |
Timeline |
Anhui Transport Cons |
Guangdong Brandmax |
Anhui Transport and Guangdong Brandmax Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Anhui Transport and Guangdong Brandmax
The main advantage of trading using opposite Anhui Transport and Guangdong Brandmax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Anhui Transport position performs unexpectedly, Guangdong Brandmax 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 Guangdong Brandmax will offset losses from the drop in Guangdong Brandmax's long position.Anhui Transport vs. PetroChina Co Ltd | Anhui Transport vs. China Mobile Limited | Anhui Transport vs. CNOOC Limited | Anhui Transport vs. Ping An Insurance |
Guangdong Brandmax vs. Hengdian Entertainment Co | Guangdong Brandmax vs. Leyard Optoelectronic | Guangdong Brandmax vs. Anhui Xinhua Media | Guangdong Brandmax vs. Guangdong Jinma Entertainment |
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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