Correlation Between Beijing Sanyuan and Liuzhou Chemical
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By analyzing existing cross correlation between Beijing Sanyuan Foods and Liuzhou Chemical Industry, you can compare the effects of market volatilities on Beijing Sanyuan and Liuzhou Chemical 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 Beijing Sanyuan with a short position of Liuzhou Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing Sanyuan and Liuzhou Chemical.
Diversification Opportunities for Beijing Sanyuan and Liuzhou Chemical
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Beijing and Liuzhou is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Beijing Sanyuan Foods and Liuzhou Chemical Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Liuzhou Chemical Industry and Beijing Sanyuan 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 Beijing Sanyuan Foods are associated (or correlated) with Liuzhou Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Liuzhou Chemical Industry has no effect on the direction of Beijing Sanyuan i.e., Beijing Sanyuan and Liuzhou Chemical go up and down completely randomly.
Pair Corralation between Beijing Sanyuan and Liuzhou Chemical
Assuming the 90 days trading horizon Beijing Sanyuan is expected to generate 1.27 times less return on investment than Liuzhou Chemical. But when comparing it to its historical volatility, Beijing Sanyuan Foods is 1.12 times less risky than Liuzhou Chemical. It trades about 0.17 of its potential returns per unit of risk. Liuzhou Chemical Industry is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 227.00 in Liuzhou Chemical Industry on September 23, 2024 and sell it today you would earn a total of 88.00 from holding Liuzhou Chemical Industry or generate 38.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Beijing Sanyuan Foods vs. Liuzhou Chemical Industry
Performance |
Timeline |
Beijing Sanyuan Foods |
Liuzhou Chemical Industry |
Beijing Sanyuan and Liuzhou Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beijing Sanyuan and Liuzhou Chemical
The main advantage of trading using opposite Beijing Sanyuan and Liuzhou Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing Sanyuan position performs unexpectedly, Liuzhou Chemical 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 Liuzhou Chemical will offset losses from the drop in Liuzhou Chemical's long position.Beijing Sanyuan vs. Industrial and Commercial | Beijing Sanyuan vs. Agricultural Bank of | Beijing Sanyuan vs. China Construction Bank | Beijing Sanyuan vs. Bank of China |
Liuzhou Chemical vs. Beijing Sanyuan Foods | Liuzhou Chemical vs. Eastroc Beverage Group | Liuzhou Chemical vs. Kuangda Technology Group | Liuzhou Chemical vs. Harbin Air Conditioning |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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