Correlation Between Chongqing Machinery and SIMS METAL
Can any of the company-specific risk be diversified away by investing in both Chongqing Machinery and SIMS METAL 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 SIMS METAL 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 SIMS METAL MGT, you can compare the effects of market volatilities on Chongqing Machinery and SIMS METAL 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 SIMS METAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Machinery and SIMS METAL.
Diversification Opportunities for Chongqing Machinery and SIMS METAL
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Chongqing and SIMS is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Machinery Electric and SIMS METAL MGT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SIMS METAL MGT 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 SIMS METAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SIMS METAL MGT has no effect on the direction of Chongqing Machinery i.e., Chongqing Machinery and SIMS METAL go up and down completely randomly.
Pair Corralation between Chongqing Machinery and SIMS METAL
Assuming the 90 days horizon Chongqing Machinery Electric is expected to generate 5.42 times more return on investment than SIMS METAL. However, Chongqing Machinery is 5.42 times more volatile than SIMS METAL MGT. It trades about 0.1 of its potential returns per unit of risk. SIMS METAL MGT is currently generating about 0.16 per unit of risk. If you would invest 8.50 in Chongqing Machinery Electric on December 29, 2024 and sell it today you would earn a total of 3.50 from holding Chongqing Machinery Electric or generate 41.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Chongqing Machinery Electric vs. SIMS METAL MGT
Performance |
Timeline |
Chongqing Machinery |
SIMS METAL MGT |
Chongqing Machinery and SIMS METAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Machinery and SIMS METAL
The main advantage of trading using opposite Chongqing Machinery and SIMS METAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Machinery position performs unexpectedly, SIMS METAL 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 SIMS METAL will offset losses from the drop in SIMS METAL's long position.Chongqing Machinery vs. Nippon Light Metal | Chongqing Machinery vs. INDOFOOD AGRI RES | Chongqing Machinery vs. AMAG Austria Metall | Chongqing Machinery vs. Collins Foods Limited |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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