Correlation Between Chongqing Machinery and HK Electric
Can any of the company-specific risk be diversified away by investing in both Chongqing Machinery and HK Electric 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 HK Electric 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 HK Electric Investments, you can compare the effects of market volatilities on Chongqing Machinery and HK Electric 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 HK Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Machinery and HK Electric.
Diversification Opportunities for Chongqing Machinery and HK Electric
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Chongqing and HKT is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Machinery Electric and HK Electric Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HK Electric Investments 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 HK Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HK Electric Investments has no effect on the direction of Chongqing Machinery i.e., Chongqing Machinery and HK Electric go up and down completely randomly.
Pair Corralation between Chongqing Machinery and HK Electric
Assuming the 90 days horizon Chongqing Machinery Electric is expected to generate 2.86 times more return on investment than HK Electric. However, Chongqing Machinery is 2.86 times more volatile than HK Electric Investments. It trades about 0.1 of its potential returns per unit of risk. HK Electric Investments is currently generating about 0.14 per unit of risk. If you would invest 7.45 in Chongqing Machinery Electric on September 23, 2024 and sell it today you would earn a total of 0.45 from holding Chongqing Machinery Electric or generate 6.04% 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. HK Electric Investments
Performance |
Timeline |
Chongqing Machinery |
HK Electric Investments |
Chongqing Machinery and HK Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Machinery and HK Electric
The main advantage of trading using opposite Chongqing Machinery and HK Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Machinery position performs unexpectedly, HK Electric 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 HK Electric will offset losses from the drop in HK Electric's long position.Chongqing Machinery vs. Honeywell International | Chongqing Machinery vs. Schneider Electric SE | Chongqing Machinery vs. Illinois Tool Works | Chongqing Machinery vs. Eaton PLC |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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