Correlation Between De Licacy and Jinli Group
Can any of the company-specific risk be diversified away by investing in both De Licacy and Jinli Group 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 De Licacy and Jinli Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between De Licacy Industrial and Jinli Group Holdings, you can compare the effects of market volatilities on De Licacy and Jinli Group 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 De Licacy with a short position of Jinli Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of De Licacy and Jinli Group.
Diversification Opportunities for De Licacy and Jinli Group
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 1464 and Jinli is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding De Licacy Industrial and Jinli Group Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jinli Group Holdings and De Licacy 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 De Licacy Industrial are associated (or correlated) with Jinli Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jinli Group Holdings has no effect on the direction of De Licacy i.e., De Licacy and Jinli Group go up and down completely randomly.
Pair Corralation between De Licacy and Jinli Group
Assuming the 90 days trading horizon De Licacy is expected to generate 2.04 times less return on investment than Jinli Group. But when comparing it to its historical volatility, De Licacy Industrial is 1.37 times less risky than Jinli Group. It trades about 0.12 of its potential returns per unit of risk. Jinli Group Holdings is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 982.00 in Jinli Group Holdings on September 3, 2024 and sell it today you would earn a total of 373.00 from holding Jinli Group Holdings or generate 37.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
De Licacy Industrial vs. Jinli Group Holdings
Performance |
Timeline |
De Licacy Industrial |
Jinli Group Holdings |
De Licacy and Jinli Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with De Licacy and Jinli Group
The main advantage of trading using opposite De Licacy and Jinli Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if De Licacy position performs unexpectedly, Jinli Group 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 Jinli Group will offset losses from the drop in Jinli Group's long position.De Licacy vs. Tainan Spinning Co | De Licacy vs. Chia Her Industrial | De Licacy vs. WiseChip Semiconductor | De Licacy vs. Novatek Microelectronics Corp |
Jinli Group vs. Shui Mu International Co | Jinli Group vs. Les Enphants Co | Jinli Group vs. Victory New Materials | Jinli Group vs. Shinih Enterprise Co |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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