Correlation Between Chongqing Road and Beijing Dalong
Specify exactly 2 symbols:
By analyzing existing cross correlation between Chongqing Road Bridge and Beijing Dalong Weiye, you can compare the effects of market volatilities on Chongqing Road and Beijing Dalong 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 Chongqing Road with a short position of Beijing Dalong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Road and Beijing Dalong.
Diversification Opportunities for Chongqing Road and Beijing Dalong
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Chongqing and Beijing is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Road Bridge and Beijing Dalong Weiye in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Dalong Weiye and Chongqing Road 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 Chongqing Road Bridge are associated (or correlated) with Beijing Dalong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Dalong Weiye has no effect on the direction of Chongqing Road i.e., Chongqing Road and Beijing Dalong go up and down completely randomly.
Pair Corralation between Chongqing Road and Beijing Dalong
Assuming the 90 days trading horizon Chongqing Road Bridge is expected to under-perform the Beijing Dalong. In addition to that, Chongqing Road is 1.18 times more volatile than Beijing Dalong Weiye. It trades about -0.05 of its total potential returns per unit of risk. Beijing Dalong Weiye is currently generating about -0.03 per unit of volatility. If you would invest 259.00 in Beijing Dalong Weiye on October 23, 2024 and sell it today you would lose (20.00) from holding Beijing Dalong Weiye or give up 7.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Chongqing Road Bridge vs. Beijing Dalong Weiye
Performance |
Timeline |
Chongqing Road Bridge |
Beijing Dalong Weiye |
Chongqing Road and Beijing Dalong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Road and Beijing Dalong
The main advantage of trading using opposite Chongqing Road and Beijing Dalong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Road position performs unexpectedly, Beijing Dalong 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 Beijing Dalong will offset losses from the drop in Beijing Dalong's long position.Chongqing Road vs. Shengda Mining Co | Chongqing Road vs. Qingdao Hiron Commercial | Chongqing Road vs. Baoshan Iron Steel | Chongqing Road vs. Xinjiang Baodi Mining |
Beijing Dalong vs. Xinjiang Baodi Mining | Beijing Dalong vs. Guangdong TianYiMa Information | Beijing Dalong vs. Tongding Interconnection Information | Beijing Dalong vs. Jinxiandai Information Industry |
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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |