Correlation Between Penghua Shenzhen and Shenzhen Bingchuan
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By analyzing existing cross correlation between Penghua Shenzhen Energy and Shenzhen Bingchuan Network, you can compare the effects of market volatilities on Penghua Shenzhen and Shenzhen Bingchuan 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 Penghua Shenzhen with a short position of Shenzhen Bingchuan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penghua Shenzhen and Shenzhen Bingchuan.
Diversification Opportunities for Penghua Shenzhen and Shenzhen Bingchuan
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Penghua and Shenzhen is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Penghua Shenzhen Energy and Shenzhen Bingchuan Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Bingchuan and Penghua Shenzhen 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 Penghua Shenzhen Energy are associated (or correlated) with Shenzhen Bingchuan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Bingchuan has no effect on the direction of Penghua Shenzhen i.e., Penghua Shenzhen and Shenzhen Bingchuan go up and down completely randomly.
Pair Corralation between Penghua Shenzhen and Shenzhen Bingchuan
Assuming the 90 days trading horizon Penghua Shenzhen is expected to generate 5.87 times less return on investment than Shenzhen Bingchuan. But when comparing it to its historical volatility, Penghua Shenzhen Energy is 9.73 times less risky than Shenzhen Bingchuan. It trades about 0.18 of its potential returns per unit of risk. Shenzhen Bingchuan Network is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,574 in Shenzhen Bingchuan Network on September 27, 2024 and sell it today you would earn a total of 482.00 from holding Shenzhen Bingchuan Network or generate 30.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Penghua Shenzhen Energy vs. Shenzhen Bingchuan Network
Performance |
Timeline |
Penghua Shenzhen Energy |
Shenzhen Bingchuan |
Penghua Shenzhen and Shenzhen Bingchuan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penghua Shenzhen and Shenzhen Bingchuan
The main advantage of trading using opposite Penghua Shenzhen and Shenzhen Bingchuan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penghua Shenzhen position performs unexpectedly, Shenzhen Bingchuan 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 Shenzhen Bingchuan will offset losses from the drop in Shenzhen Bingchuan's long position.Penghua Shenzhen vs. Industrial and Commercial | Penghua Shenzhen vs. Kweichow Moutai Co | Penghua Shenzhen vs. Agricultural Bank of | Penghua Shenzhen vs. China Mobile Limited |
Shenzhen Bingchuan vs. China Life Insurance | Shenzhen Bingchuan vs. Cinda Securities Co | Shenzhen Bingchuan vs. Piotech Inc A | Shenzhen Bingchuan vs. Dongxing Sec Co |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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