Correlation Between Lingsen Precision and Yonyu Plastics
Can any of the company-specific risk be diversified away by investing in both Lingsen Precision and Yonyu Plastics 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 Lingsen Precision and Yonyu Plastics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lingsen Precision Industries and Yonyu Plastics Co, you can compare the effects of market volatilities on Lingsen Precision and Yonyu Plastics 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 Lingsen Precision with a short position of Yonyu Plastics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lingsen Precision and Yonyu Plastics.
Diversification Opportunities for Lingsen Precision and Yonyu Plastics
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lingsen and Yonyu is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Lingsen Precision Industries and Yonyu Plastics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yonyu Plastics and Lingsen Precision 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 Lingsen Precision Industries are associated (or correlated) with Yonyu Plastics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yonyu Plastics has no effect on the direction of Lingsen Precision i.e., Lingsen Precision and Yonyu Plastics go up and down completely randomly.
Pair Corralation between Lingsen Precision and Yonyu Plastics
Assuming the 90 days trading horizon Lingsen Precision Industries is expected to generate 3.07 times more return on investment than Yonyu Plastics. However, Lingsen Precision is 3.07 times more volatile than Yonyu Plastics Co. It trades about 0.0 of its potential returns per unit of risk. Yonyu Plastics Co is currently generating about -0.13 per unit of risk. If you would invest 1,750 in Lingsen Precision Industries on December 23, 2024 and sell it today you would lose (15.00) from holding Lingsen Precision Industries or give up 0.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lingsen Precision Industries vs. Yonyu Plastics Co
Performance |
Timeline |
Lingsen Precision |
Yonyu Plastics |
Lingsen Precision and Yonyu Plastics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lingsen Precision and Yonyu Plastics
The main advantage of trading using opposite Lingsen Precision and Yonyu Plastics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lingsen Precision position performs unexpectedly, Yonyu Plastics 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 Yonyu Plastics will offset losses from the drop in Yonyu Plastics' long position.Lingsen Precision vs. Wei Chuan Foods | Lingsen Precision vs. GeneFerm Biotechnology Co | Lingsen Precision vs. Rexon Industrial Corp | Lingsen Precision vs. General Plastic Industrial |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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