Correlation Between Canlan Ice and Tarena International
Can any of the company-specific risk be diversified away by investing in both Canlan Ice and Tarena International 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 Canlan Ice and Tarena International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Canlan Ice Sports and Tarena International, you can compare the effects of market volatilities on Canlan Ice and Tarena International 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 Canlan Ice with a short position of Tarena International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Canlan Ice and Tarena International.
Diversification Opportunities for Canlan Ice and Tarena International
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Canlan and Tarena is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Canlan Ice Sports and Tarena International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tarena International and Canlan Ice 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 Canlan Ice Sports are associated (or correlated) with Tarena International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tarena International has no effect on the direction of Canlan Ice i.e., Canlan Ice and Tarena International go up and down completely randomly.
Pair Corralation between Canlan Ice and Tarena International
Assuming the 90 days horizon Canlan Ice is expected to generate 7.75 times less return on investment than Tarena International. But when comparing it to its historical volatility, Canlan Ice Sports is 54.77 times less risky than Tarena International. It trades about 0.18 of its potential returns per unit of risk. Tarena International is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 95.00 in Tarena International on September 12, 2024 and sell it today you would lose (6.10) from holding Tarena International or give up 6.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 96.88% |
Values | Daily Returns |
Canlan Ice Sports vs. Tarena International
Performance |
Timeline |
Canlan Ice Sports |
Tarena International |
Canlan Ice and Tarena International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Canlan Ice and Tarena International
The main advantage of trading using opposite Canlan Ice and Tarena International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Canlan Ice position performs unexpectedly, Tarena International 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 Tarena International will offset losses from the drop in Tarena International's long position.Canlan Ice vs. Oriental Land Co | Canlan Ice vs. Oriental Land Co | Canlan Ice vs. ANTA Sports Products | Canlan Ice vs. ANTA Sports Products |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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