Correlation Between Chuangs China and Waste Connections
Can any of the company-specific risk be diversified away by investing in both Chuangs China and Waste Connections 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 Chuangs China and Waste Connections into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chuangs China Investments and Waste Connections, you can compare the effects of market volatilities on Chuangs China and Waste Connections 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 Chuangs China with a short position of Waste Connections. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chuangs China and Waste Connections.
Diversification Opportunities for Chuangs China and Waste Connections
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Chuangs and Waste is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Chuangs China Investments and Waste Connections in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Waste Connections and Chuangs China 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 Chuangs China Investments are associated (or correlated) with Waste Connections. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Waste Connections has no effect on the direction of Chuangs China i.e., Chuangs China and Waste Connections go up and down completely randomly.
Pair Corralation between Chuangs China and Waste Connections
Assuming the 90 days horizon Chuangs China Investments is expected to under-perform the Waste Connections. In addition to that, Chuangs China is 4.97 times more volatile than Waste Connections. It trades about -0.01 of its total potential returns per unit of risk. Waste Connections is currently generating about 0.07 per unit of volatility. If you would invest 12,710 in Waste Connections on September 5, 2024 and sell it today you would earn a total of 5,425 from holding Waste Connections or generate 42.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Chuangs China Investments vs. Waste Connections
Performance |
Timeline |
Chuangs China Investments |
Waste Connections |
Chuangs China and Waste Connections Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chuangs China and Waste Connections
The main advantage of trading using opposite Chuangs China and Waste Connections positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chuangs China position performs unexpectedly, Waste Connections 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 Waste Connections will offset losses from the drop in Waste Connections' long position.Chuangs China vs. Hongkong Land Holdings | Chuangs China vs. Superior Plus Corp | Chuangs China vs. NMI Holdings | Chuangs China vs. Origin Agritech |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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