Correlation Between Shenzhen Silver and Sieyuan Electric
Specify exactly 2 symbols:
By analyzing existing cross correlation between Shenzhen Silver Basis and Sieyuan Electric Co, you can compare the effects of market volatilities on Shenzhen Silver and Sieyuan Electric 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 Shenzhen Silver with a short position of Sieyuan Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Silver and Sieyuan Electric.
Diversification Opportunities for Shenzhen Silver and Sieyuan Electric
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Shenzhen and Sieyuan is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Silver Basis and Sieyuan Electric Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sieyuan Electric and Shenzhen Silver 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 Shenzhen Silver Basis are associated (or correlated) with Sieyuan Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sieyuan Electric has no effect on the direction of Shenzhen Silver i.e., Shenzhen Silver and Sieyuan Electric go up and down completely randomly.
Pair Corralation between Shenzhen Silver and Sieyuan Electric
Assuming the 90 days trading horizon Shenzhen Silver Basis is expected to under-perform the Sieyuan Electric. In addition to that, Shenzhen Silver is 1.71 times more volatile than Sieyuan Electric Co. It trades about -0.01 of its total potential returns per unit of risk. Sieyuan Electric Co is currently generating about 0.05 per unit of volatility. If you would invest 7,297 in Sieyuan Electric Co on December 27, 2024 and sell it today you would earn a total of 301.00 from holding Sieyuan Electric Co or generate 4.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.28% |
Values | Daily Returns |
Shenzhen Silver Basis vs. Sieyuan Electric Co
Performance |
Timeline |
Shenzhen Silver Basis |
Sieyuan Electric |
Shenzhen Silver and Sieyuan Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Silver and Sieyuan Electric
The main advantage of trading using opposite Shenzhen Silver and Sieyuan Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Silver position performs unexpectedly, Sieyuan Electric 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 Sieyuan Electric will offset losses from the drop in Sieyuan Electric's long position.Shenzhen Silver vs. Union Semiconductor Co | Shenzhen Silver vs. Thinkon Semiconductor Jinzhou | Shenzhen Silver vs. Tianjin Ruixin Technology | Shenzhen Silver vs. GRINM Semiconductor Materials |
Sieyuan Electric vs. Anhui Jinhe Industrial | Sieyuan Electric vs. Zhejiang Yongjin Metal | Sieyuan Electric vs. Shanghai Yanpu Metal | Sieyuan Electric vs. CITIC Metal Co |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Other Complementary Tools
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Stocks Directory Find actively traded stocks across global markets | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |