Correlation Between Suzhou Industrial and Ningbo Fangzheng
Specify exactly 2 symbols:
By analyzing existing cross correlation between Suzhou Industrial Park and Ningbo Fangzheng Automobile, you can compare the effects of market volatilities on Suzhou Industrial and Ningbo Fangzheng 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 Suzhou Industrial with a short position of Ningbo Fangzheng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Suzhou Industrial and Ningbo Fangzheng.
Diversification Opportunities for Suzhou Industrial and Ningbo Fangzheng
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Suzhou and Ningbo is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Suzhou Industrial Park and Ningbo Fangzheng Automobile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ningbo Fangzheng Aut and Suzhou Industrial 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 Suzhou Industrial Park are associated (or correlated) with Ningbo Fangzheng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ningbo Fangzheng Aut has no effect on the direction of Suzhou Industrial i.e., Suzhou Industrial and Ningbo Fangzheng go up and down completely randomly.
Pair Corralation between Suzhou Industrial and Ningbo Fangzheng
Assuming the 90 days trading horizon Suzhou Industrial is expected to generate 6.49 times less return on investment than Ningbo Fangzheng. In addition to that, Suzhou Industrial is 1.88 times more volatile than Ningbo Fangzheng Automobile. It trades about 0.01 of its total potential returns per unit of risk. Ningbo Fangzheng Automobile is currently generating about 0.14 per unit of volatility. If you would invest 1,507 in Ningbo Fangzheng Automobile on December 25, 2024 and sell it today you would earn a total of 298.00 from holding Ningbo Fangzheng Automobile or generate 19.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.28% |
Values | Daily Returns |
Suzhou Industrial Park vs. Ningbo Fangzheng Automobile
Performance |
Timeline |
Suzhou Industrial Park |
Ningbo Fangzheng Aut |
Suzhou Industrial and Ningbo Fangzheng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Suzhou Industrial and Ningbo Fangzheng
The main advantage of trading using opposite Suzhou Industrial and Ningbo Fangzheng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Suzhou Industrial position performs unexpectedly, Ningbo Fangzheng 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 Ningbo Fangzheng will offset losses from the drop in Ningbo Fangzheng's long position.Suzhou Industrial vs. Kidswant Children Products | Suzhou Industrial vs. Shandong Mining Machinery | Suzhou Industrial vs. Ningbo Tip Rubber | Suzhou Industrial vs. Western Mining Co |
Ningbo Fangzheng vs. Tsingtao Brewery Co | Ningbo Fangzheng vs. Hua Hong Semiconductor | Ningbo Fangzheng vs. Jiangsu Yanghe Brewery | Ningbo Fangzheng vs. Shanghai Yaoji Playing |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Other Complementary Tools
Commodity Directory Find actively traded commodities issued by global exchanges | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |