Correlation Between Liaoning Dingjide and Changchun
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By analyzing existing cross correlation between Liaoning Dingjide Petrochemical and Changchun UP Optotech, you can compare the effects of market volatilities on Liaoning Dingjide and Changchun 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 Liaoning Dingjide with a short position of Changchun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Liaoning Dingjide and Changchun.
Diversification Opportunities for Liaoning Dingjide and Changchun
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Liaoning and Changchun is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Liaoning Dingjide Petrochemica and Changchun UP Optotech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Changchun UP Optotech and Liaoning Dingjide 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 Liaoning Dingjide Petrochemical are associated (or correlated) with Changchun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Changchun UP Optotech has no effect on the direction of Liaoning Dingjide i.e., Liaoning Dingjide and Changchun go up and down completely randomly.
Pair Corralation between Liaoning Dingjide and Changchun
Assuming the 90 days trading horizon Liaoning Dingjide Petrochemical is expected to generate 1.06 times more return on investment than Changchun. However, Liaoning Dingjide is 1.06 times more volatile than Changchun UP Optotech. It trades about -0.12 of its potential returns per unit of risk. Changchun UP Optotech is currently generating about -0.44 per unit of risk. If you would invest 3,395 in Liaoning Dingjide Petrochemical on October 8, 2024 and sell it today you would lose (203.00) from holding Liaoning Dingjide Petrochemical or give up 5.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Liaoning Dingjide Petrochemica vs. Changchun UP Optotech
Performance |
Timeline |
Liaoning Dingjide |
Changchun UP Optotech |
Liaoning Dingjide and Changchun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Liaoning Dingjide and Changchun
The main advantage of trading using opposite Liaoning Dingjide and Changchun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Liaoning Dingjide position performs unexpectedly, Changchun 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 Changchun will offset losses from the drop in Changchun's long position.The idea behind Liaoning Dingjide Petrochemical and Changchun UP Optotech pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Changchun vs. BeiGene | Changchun vs. G bits Network Technology | Changchun vs. China Mobile Limited | Changchun vs. Gansu Jiu Steel |
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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