Correlation Between Shenzhen Noposion and Fujian Longzhou
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By analyzing existing cross correlation between Shenzhen Noposion Agrochemicals and Fujian Longzhou Transportation, you can compare the effects of market volatilities on Shenzhen Noposion and Fujian Longzhou 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 Shenzhen Noposion with a short position of Fujian Longzhou. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Noposion and Fujian Longzhou.
Diversification Opportunities for Shenzhen Noposion and Fujian Longzhou
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Shenzhen and Fujian is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Noposion Agrochemical and Fujian Longzhou Transportation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fujian Longzhou Tran and Shenzhen Noposion 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 Shenzhen Noposion Agrochemicals are associated (or correlated) with Fujian Longzhou. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fujian Longzhou Tran has no effect on the direction of Shenzhen Noposion i.e., Shenzhen Noposion and Fujian Longzhou go up and down completely randomly.
Pair Corralation between Shenzhen Noposion and Fujian Longzhou
Assuming the 90 days trading horizon Shenzhen Noposion Agrochemicals is expected to generate 0.74 times more return on investment than Fujian Longzhou. However, Shenzhen Noposion Agrochemicals is 1.35 times less risky than Fujian Longzhou. It trades about 0.12 of its potential returns per unit of risk. Fujian Longzhou Transportation is currently generating about 0.05 per unit of risk. If you would invest 828.00 in Shenzhen Noposion Agrochemicals on October 11, 2024 and sell it today you would earn a total of 166.00 from holding Shenzhen Noposion Agrochemicals or generate 20.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shenzhen Noposion Agrochemical vs. Fujian Longzhou Transportation
Performance |
Timeline |
Shenzhen Noposion |
Fujian Longzhou Tran |
Shenzhen Noposion and Fujian Longzhou Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Noposion and Fujian Longzhou
The main advantage of trading using opposite Shenzhen Noposion and Fujian Longzhou positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Noposion position performs unexpectedly, Fujian Longzhou 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 Fujian Longzhou will offset losses from the drop in Fujian Longzhou's long position.Shenzhen Noposion vs. Vanfund Urban Investment | Shenzhen Noposion vs. Lecron Energy Saving | Shenzhen Noposion vs. Tieling Newcity Investment | Shenzhen Noposion vs. Jiangsu Financial Leasing |
Fujian Longzhou vs. Shenzhen Noposion Agrochemicals | Fujian Longzhou vs. Chongqing Brewery Co | Fujian Longzhou vs. China Aluminum International | Fujian Longzhou vs. Heilongjiang Transport Development |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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