Correlation Between Green World and Lingsen Precision
Can any of the company-specific risk be diversified away by investing in both Green World and Lingsen Precision 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 Green World and Lingsen Precision into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Green World Fintech and Lingsen Precision Industries, you can compare the effects of market volatilities on Green World and Lingsen Precision 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 Green World with a short position of Lingsen Precision. Check out your portfolio center. Please also check ongoing floating volatility patterns of Green World and Lingsen Precision.
Diversification Opportunities for Green World and Lingsen Precision
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Green and Lingsen is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Green World Fintech and Lingsen Precision Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lingsen Precision and Green World 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 Green World Fintech are associated (or correlated) with Lingsen Precision. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lingsen Precision has no effect on the direction of Green World i.e., Green World and Lingsen Precision go up and down completely randomly.
Pair Corralation between Green World and Lingsen Precision
Assuming the 90 days trading horizon Green World Fintech is expected to under-perform the Lingsen Precision. In addition to that, Green World is 1.74 times more volatile than Lingsen Precision Industries. It trades about -0.21 of its total potential returns per unit of risk. Lingsen Precision Industries is currently generating about -0.24 per unit of volatility. If you would invest 2,140 in Lingsen Precision Industries on September 23, 2024 and sell it today you would lose (425.00) from holding Lingsen Precision Industries or give up 19.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Green World Fintech vs. Lingsen Precision Industries
Performance |
Timeline |
Green World Fintech |
Lingsen Precision |
Green World and Lingsen Precision Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Green World and Lingsen Precision
The main advantage of trading using opposite Green World and Lingsen Precision positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Green World position performs unexpectedly, Lingsen Precision 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 Lingsen Precision will offset losses from the drop in Lingsen Precision's long position.Green World vs. Digital China Holdings | Green World vs. Acer E Enabling Service | Green World vs. Sysage Technology Co | Green World vs. Wistron Information Technology |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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