Correlation Between Chongqing Machinery and HF FOODS
Can any of the company-specific risk be diversified away by investing in both Chongqing Machinery and HF FOODS 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 HF FOODS 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 HF FOODS GRP, you can compare the effects of market volatilities on Chongqing Machinery and HF FOODS 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 HF FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Machinery and HF FOODS.
Diversification Opportunities for Chongqing Machinery and HF FOODS
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Chongqing and 3GX is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Machinery Electric and HF FOODS GRP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HF FOODS GRP 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 HF FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HF FOODS GRP has no effect on the direction of Chongqing Machinery i.e., Chongqing Machinery and HF FOODS go up and down completely randomly.
Pair Corralation between Chongqing Machinery and HF FOODS
Assuming the 90 days horizon Chongqing Machinery Electric is expected to generate 1.54 times more return on investment than HF FOODS. However, Chongqing Machinery is 1.54 times more volatile than HF FOODS GRP. It trades about 0.06 of its potential returns per unit of risk. HF FOODS GRP is currently generating about 0.01 per unit of risk. If you would invest 2.44 in Chongqing Machinery Electric on October 11, 2024 and sell it today you would earn a total of 5.46 from holding Chongqing Machinery Electric or generate 223.77% 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. HF FOODS GRP
Performance |
| Timeline |
| Chongqing Machinery |
| HF FOODS GRP |
Chongqing Machinery and HF FOODS Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Chongqing Machinery and HF FOODS
The main advantage of trading using opposite Chongqing Machinery and HF FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Machinery position performs unexpectedly, HF FOODS 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 HF FOODS will offset losses from the drop in HF FOODS's long position.| Chongqing Machinery vs. Molina Healthcare | Chongqing Machinery vs. ELMOS SEMICONDUCTOR | Chongqing Machinery vs. PT Wintermar Offshore | Chongqing Machinery vs. CSSC Offshore Marine |
| HF FOODS vs. Stag Industrial | HF FOODS vs. Zijin Mining Group | HF FOODS vs. Chongqing Machinery Electric | HF FOODS vs. FIREWEED METALS P |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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