Correlation Between Chongqing Machinery and Hoist Finance
Can any of the company-specific risk be diversified away by investing in both Chongqing Machinery and Hoist Finance at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Chongqing Machinery and Hoist Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chongqing Machinery Electric and Hoist Finance AB, you can compare the effects of market volatilities on Chongqing Machinery and Hoist Finance 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 Machinery with a short position of Hoist Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Machinery and Hoist Finance.
Diversification Opportunities for Chongqing Machinery and Hoist Finance
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Chongqing and Hoist is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Machinery Electric and Hoist Finance AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hoist Finance AB and Chongqing Machinery 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 Machinery Electric are associated (or correlated) with Hoist Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hoist Finance AB has no effect on the direction of Chongqing Machinery i.e., Chongqing Machinery and Hoist Finance go up and down completely randomly.
Pair Corralation between Chongqing Machinery and Hoist Finance
Assuming the 90 days horizon Chongqing Machinery Electric is expected to generate 1.32 times more return on investment than Hoist Finance. However, Chongqing Machinery is 1.32 times more volatile than Hoist Finance AB. It trades about 0.14 of its potential returns per unit of risk. Hoist Finance AB is currently generating about 0.01 per unit of risk. If you would invest 7.30 in Chongqing Machinery Electric on September 24, 2024 and sell it today you would earn a total of 0.60 from holding Chongqing Machinery Electric or generate 8.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chongqing Machinery Electric vs. Hoist Finance AB
Performance |
Timeline |
Chongqing Machinery |
Hoist Finance AB |
Chongqing Machinery and Hoist Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Machinery and Hoist Finance
The main advantage of trading using opposite Chongqing Machinery and Hoist Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Machinery position performs unexpectedly, Hoist Finance 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 Hoist Finance will offset losses from the drop in Hoist Finance's long position.Chongqing Machinery vs. DATAGROUP SE | Chongqing Machinery vs. Cass Information Systems | Chongqing Machinery vs. Fidelity National Information | Chongqing Machinery vs. DATANG INTL POW |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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