Correlation Between Super-Dragon Engineering and Chongqing Road
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By analyzing existing cross correlation between Super Dragon Engineering Plastics and Chongqing Road Bridge, you can compare the effects of market volatilities on Super-Dragon Engineering and Chongqing Road 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 Super-Dragon Engineering with a short position of Chongqing Road. Check out your portfolio center. Please also check ongoing floating volatility patterns of Super-Dragon Engineering and Chongqing Road.
Diversification Opportunities for Super-Dragon Engineering and Chongqing Road
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Super-Dragon and Chongqing is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Super Dragon Engineering Plast and Chongqing Road Bridge in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chongqing Road Bridge and Super-Dragon Engineering 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 Super Dragon Engineering Plastics are associated (or correlated) with Chongqing Road. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chongqing Road Bridge has no effect on the direction of Super-Dragon Engineering i.e., Super-Dragon Engineering and Chongqing Road go up and down completely randomly.
Pair Corralation between Super-Dragon Engineering and Chongqing Road
Assuming the 90 days trading horizon Super Dragon Engineering Plastics is expected to generate 0.82 times more return on investment than Chongqing Road. However, Super Dragon Engineering Plastics is 1.23 times less risky than Chongqing Road. It trades about -0.03 of its potential returns per unit of risk. Chongqing Road Bridge is currently generating about -0.07 per unit of risk. If you would invest 3,997 in Super Dragon Engineering Plastics on December 1, 2024 and sell it today you would lose (267.00) from holding Super Dragon Engineering Plastics or give up 6.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Super Dragon Engineering Plast vs. Chongqing Road Bridge
Performance |
Timeline |
Super-Dragon Engineering |
Chongqing Road Bridge |
Super-Dragon Engineering and Chongqing Road Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Super-Dragon Engineering and Chongqing Road
The main advantage of trading using opposite Super-Dragon Engineering and Chongqing Road positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Super-Dragon Engineering position performs unexpectedly, Chongqing Road 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 Chongqing Road will offset losses from the drop in Chongqing Road's long position.The idea behind Super Dragon Engineering Plastics and Chongqing Road Bridge pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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