Correlation Between Shenwu Energy and Beijing Shunxin
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By analyzing existing cross correlation between Shenwu Energy Saving and Beijing Shunxin Agriculture, you can compare the effects of market volatilities on Shenwu Energy and Beijing Shunxin 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 Shenwu Energy with a short position of Beijing Shunxin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenwu Energy and Beijing Shunxin.
Diversification Opportunities for Shenwu Energy and Beijing Shunxin
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Shenwu and Beijing is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Shenwu Energy Saving and Beijing Shunxin Agriculture in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Shunxin Agri and Shenwu 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 Shenwu Energy Saving are associated (or correlated) with Beijing Shunxin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Shunxin Agri has no effect on the direction of Shenwu Energy i.e., Shenwu Energy and Beijing Shunxin go up and down completely randomly.
Pair Corralation between Shenwu Energy and Beijing Shunxin
Assuming the 90 days trading horizon Shenwu Energy Saving is expected to generate 5.03 times more return on investment than Beijing Shunxin. However, Shenwu Energy is 5.03 times more volatile than Beijing Shunxin Agriculture. It trades about 0.03 of its potential returns per unit of risk. Beijing Shunxin Agriculture is currently generating about -0.08 per unit of risk. If you would invest 303.00 in Shenwu Energy Saving on November 7, 2024 and sell it today you would lose (3.00) from holding Shenwu Energy Saving or give up 0.99% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Shenwu Energy Saving vs. Beijing Shunxin Agriculture
Performance |
| Timeline |
| Shenwu Energy Saving |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Beijing Shunxin Agri |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Shenwu Energy and Beijing Shunxin Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Shenwu Energy and Beijing Shunxin
The main advantage of trading using opposite Shenwu Energy and Beijing Shunxin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenwu Energy position performs unexpectedly, Beijing Shunxin 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 Shunxin will offset losses from the drop in Beijing Shunxin's long position.The idea behind Shenwu Energy Saving and Beijing Shunxin Agriculture 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.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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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