Correlation Between Guangzhou Automobile and Volcon
Can any of the company-specific risk be diversified away by investing in both Guangzhou Automobile and Volcon 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 Guangzhou Automobile and Volcon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guangzhou Automobile Group and Volcon Inc, you can compare the effects of market volatilities on Guangzhou Automobile and Volcon 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 Volcon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangzhou Automobile and Volcon.
Diversification Opportunities for Guangzhou Automobile and Volcon
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Guangzhou and Volcon is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Guangzhou Automobile Group and Volcon Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Volcon Inc 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 Volcon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Volcon Inc has no effect on the direction of Guangzhou Automobile i.e., Guangzhou Automobile and Volcon go up and down completely randomly.
Pair Corralation between Guangzhou Automobile and Volcon
Assuming the 90 days horizon Guangzhou Automobile Group is expected to generate 1.09 times more return on investment than Volcon. However, Guangzhou Automobile is 1.09 times more volatile than Volcon Inc. It trades about 0.1 of its potential returns per unit of risk. Volcon Inc is currently generating about -0.16 per unit of risk. If you would invest 26.00 in Guangzhou Automobile Group on September 3, 2024 and sell it today you would earn a total of 9.00 from holding Guangzhou Automobile Group or generate 34.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Guangzhou Automobile Group vs. Volcon Inc
Performance |
Timeline |
Guangzhou Automobile |
Volcon Inc |
Guangzhou Automobile and Volcon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangzhou Automobile and Volcon
The main advantage of trading using opposite Guangzhou Automobile and Volcon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangzhou Automobile position performs unexpectedly, Volcon 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 Volcon will offset losses from the drop in Volcon's long position.Guangzhou Automobile vs. Porsche Automobil Holding | Guangzhou Automobile vs. Porsche Automobile Holding | Guangzhou Automobile vs. Volkswagen AG 110 | Guangzhou Automobile vs. Bayerische Motoren Werke |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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