Correlation Between Guangzhou Automobile and Guangdong Qunxing
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By analyzing existing cross correlation between Guangzhou Automobile Group and Guangdong Qunxing Toys, you can compare the effects of market volatilities on Guangzhou Automobile and Guangdong Qunxing 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 Guangzhou Automobile with a short position of Guangdong Qunxing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangzhou Automobile and Guangdong Qunxing.
Diversification Opportunities for Guangzhou Automobile and Guangdong Qunxing
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guangzhou and Guangdong is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Guangzhou Automobile Group and Guangdong Qunxing Toys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangdong Qunxing Toys and Guangzhou 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 Guangzhou Automobile Group are associated (or correlated) with Guangdong Qunxing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangdong Qunxing Toys has no effect on the direction of Guangzhou Automobile i.e., Guangzhou Automobile and Guangdong Qunxing go up and down completely randomly.
Pair Corralation between Guangzhou Automobile and Guangdong Qunxing
Assuming the 90 days trading horizon Guangzhou Automobile Group is expected to under-perform the Guangdong Qunxing. But the stock apears to be less risky and, when comparing its historical volatility, Guangzhou Automobile Group is 1.75 times less risky than Guangdong Qunxing. The stock trades about -0.01 of its potential returns per unit of risk. The Guangdong Qunxing Toys is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 629.00 in Guangdong Qunxing Toys on October 5, 2024 and sell it today you would earn a total of 212.00 from holding Guangdong Qunxing Toys or generate 33.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.77% |
Values | Daily Returns |
Guangzhou Automobile Group vs. Guangdong Qunxing Toys
Performance |
Timeline |
Guangzhou Automobile |
Guangdong Qunxing Toys |
Guangzhou Automobile and Guangdong Qunxing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangzhou Automobile and Guangdong Qunxing
The main advantage of trading using opposite Guangzhou Automobile and Guangdong Qunxing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangzhou Automobile position performs unexpectedly, Guangdong Qunxing 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 Qunxing will offset losses from the drop in Guangdong Qunxing's long position.Guangzhou Automobile vs. Bank of China | Guangzhou Automobile vs. Kweichow Moutai Co | Guangzhou Automobile vs. PetroChina Co Ltd | Guangzhou Automobile vs. Bank of Communications |
Guangdong Qunxing vs. Bank of China | Guangdong Qunxing vs. Kweichow Moutai Co | Guangdong Qunxing vs. PetroChina Co Ltd | Guangdong Qunxing vs. Bank of Communications |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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