Correlation Between Dalian Thermal and Shanghai Jin
Specify exactly 2 symbols:
By analyzing existing cross correlation between Dalian Thermal Power and Shanghai Jin Jiang, you can compare the effects of market volatilities on Dalian Thermal and Shanghai Jin 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 Dalian Thermal with a short position of Shanghai Jin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dalian Thermal and Shanghai Jin.
Diversification Opportunities for Dalian Thermal and Shanghai Jin
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dalian and Shanghai is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dalian Thermal Power and Shanghai Jin Jiang in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Jin Jiang and Dalian Thermal 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 Dalian Thermal Power are associated (or correlated) with Shanghai Jin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Jin Jiang has no effect on the direction of Dalian Thermal i.e., Dalian Thermal and Shanghai Jin go up and down completely randomly.
Pair Corralation between Dalian Thermal and Shanghai Jin
Assuming the 90 days trading horizon Dalian Thermal Power is expected to under-perform the Shanghai Jin. In addition to that, Dalian Thermal is 3.1 times more volatile than Shanghai Jin Jiang. It trades about -0.04 of its total potential returns per unit of risk. Shanghai Jin Jiang is currently generating about -0.08 per unit of volatility. If you would invest 162.00 in Shanghai Jin Jiang on October 8, 2024 and sell it today you would lose (12.00) from holding Shanghai Jin Jiang or give up 7.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dalian Thermal Power vs. Shanghai Jin Jiang
Performance |
Timeline |
Dalian Thermal Power |
Shanghai Jin Jiang |
Dalian Thermal and Shanghai Jin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dalian Thermal and Shanghai Jin
The main advantage of trading using opposite Dalian Thermal and Shanghai Jin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dalian Thermal position performs unexpectedly, Shanghai Jin 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 Shanghai Jin will offset losses from the drop in Shanghai Jin's long position.Dalian Thermal vs. Industrial and Commercial | Dalian Thermal vs. Agricultural Bank of | Dalian Thermal vs. China Construction Bank | Dalian Thermal vs. Bank of China |
Shanghai Jin vs. China Everbright Bank | Shanghai Jin vs. Industrial Bank Co | Shanghai Jin vs. Youngy Health Co | Shanghai Jin vs. China Life Insurance |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |