Correlation Between Shuhua Sports and Shenzhen New
Specify exactly 2 symbols:
By analyzing existing cross correlation between Shuhua Sports Co and Shenzhen New Nanshan, you can compare the effects of market volatilities on Shuhua Sports and Shenzhen New 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 Shuhua Sports with a short position of Shenzhen New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shuhua Sports and Shenzhen New.
Diversification Opportunities for Shuhua Sports and Shenzhen New
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shuhua and Shenzhen is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Shuhua Sports Co and Shenzhen New Nanshan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen New Nanshan and Shuhua Sports 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 Shuhua Sports Co are associated (or correlated) with Shenzhen New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen New Nanshan has no effect on the direction of Shuhua Sports i.e., Shuhua Sports and Shenzhen New go up and down completely randomly.
Pair Corralation between Shuhua Sports and Shenzhen New
Assuming the 90 days trading horizon Shuhua Sports Co is expected to generate 1.01 times more return on investment than Shenzhen New. However, Shuhua Sports is 1.01 times more volatile than Shenzhen New Nanshan. It trades about 0.09 of its potential returns per unit of risk. Shenzhen New Nanshan is currently generating about -0.14 per unit of risk. If you would invest 824.00 in Shuhua Sports Co on October 5, 2024 and sell it today you would earn a total of 44.00 from holding Shuhua Sports Co or generate 5.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Shuhua Sports Co vs. Shenzhen New Nanshan
Performance |
Timeline |
Shuhua Sports |
Shenzhen New Nanshan |
Shuhua Sports and Shenzhen New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shuhua Sports and Shenzhen New
The main advantage of trading using opposite Shuhua Sports and Shenzhen New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shuhua Sports position performs unexpectedly, Shenzhen New 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 Shenzhen New will offset losses from the drop in Shenzhen New's long position.Shuhua Sports vs. Bank of China | Shuhua Sports vs. Kweichow Moutai Co | Shuhua Sports vs. PetroChina Co Ltd | Shuhua Sports vs. Bank of Communications |
Shenzhen New vs. CIMC Vehicles Co | Shenzhen New vs. Miracll Chemicals Co | Shenzhen New vs. Aba Chemicals Corp | Shenzhen New vs. Haima Automobile Group |
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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Other Complementary Tools
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |