Correlation Between Wintime Energy and Guangdong Jingyi
Specify exactly 2 symbols:
By analyzing existing cross correlation between Wintime Energy Co and Guangdong Jingyi Metal, you can compare the effects of market volatilities on Wintime Energy and Guangdong Jingyi 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 Wintime Energy with a short position of Guangdong Jingyi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wintime Energy and Guangdong Jingyi.
Diversification Opportunities for Wintime Energy and Guangdong Jingyi
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Wintime and Guangdong is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Wintime Energy Co and Guangdong Jingyi Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangdong Jingyi Metal and Wintime Energy 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 Wintime Energy Co are associated (or correlated) with Guangdong Jingyi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangdong Jingyi Metal has no effect on the direction of Wintime Energy i.e., Wintime Energy and Guangdong Jingyi go up and down completely randomly.
Pair Corralation between Wintime Energy and Guangdong Jingyi
Assuming the 90 days trading horizon Wintime Energy Co is expected to generate 1.37 times more return on investment than Guangdong Jingyi. However, Wintime Energy is 1.37 times more volatile than Guangdong Jingyi Metal. It trades about -0.02 of its potential returns per unit of risk. Guangdong Jingyi Metal is currently generating about -0.3 per unit of risk. If you would invest 168.00 in Wintime Energy Co on October 6, 2024 and sell it today you would lose (5.00) from holding Wintime Energy Co or give up 2.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Wintime Energy Co vs. Guangdong Jingyi Metal
Performance |
Timeline |
Wintime Energy |
Guangdong Jingyi Metal |
Wintime Energy and Guangdong Jingyi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wintime Energy and Guangdong Jingyi
The main advantage of trading using opposite Wintime Energy and Guangdong Jingyi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wintime Energy position performs unexpectedly, Guangdong Jingyi 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 Guangdong Jingyi will offset losses from the drop in Guangdong Jingyi's long position.Wintime Energy vs. Zhejiang Kingland Pipeline | Wintime Energy vs. Beijing Yanjing Brewery | Wintime Energy vs. Ming Yang Smart | Wintime Energy vs. 159681 |
Guangdong Jingyi vs. Zijin Mining Group | Guangdong Jingyi vs. Wanhua Chemical Group | Guangdong Jingyi vs. Baoshan Iron Steel | Guangdong Jingyi vs. Shandong Gold Mining |
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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Other Complementary Tools
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |