Correlation Between Cshg Atrium and Cshg Logistica
Can any of the company-specific risk be diversified away by investing in both Cshg Atrium and Cshg Logistica 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 Cshg Atrium and Cshg Logistica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cshg Atrium Shopping and Cshg Logistica , you can compare the effects of market volatilities on Cshg Atrium and Cshg Logistica 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 Cshg Atrium with a short position of Cshg Logistica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cshg Atrium and Cshg Logistica.
Diversification Opportunities for Cshg Atrium and Cshg Logistica
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cshg and Cshg is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Cshg Atrium Shopping and Cshg Logistica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cshg Logistica and Cshg Atrium 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 Cshg Atrium Shopping are associated (or correlated) with Cshg Logistica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cshg Logistica has no effect on the direction of Cshg Atrium i.e., Cshg Atrium and Cshg Logistica go up and down completely randomly.
Pair Corralation between Cshg Atrium and Cshg Logistica
Assuming the 90 days trading horizon Cshg Atrium Shopping is expected to under-perform the Cshg Logistica. In addition to that, Cshg Atrium is 1.56 times more volatile than Cshg Logistica . It trades about -0.24 of its total potential returns per unit of risk. Cshg Logistica is currently generating about -0.03 per unit of volatility. If you would invest 15,382 in Cshg Logistica on August 28, 2024 and sell it today you would lose (44.00) from holding Cshg Logistica or give up 0.29% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Cshg Atrium Shopping vs. Cshg Logistica
Performance |
| Timeline |
| Cshg Atrium Shopping |
| Cshg Logistica |
Cshg Atrium and Cshg Logistica Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cshg Atrium and Cshg Logistica
The main advantage of trading using opposite Cshg Atrium and Cshg Logistica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cshg Atrium position performs unexpectedly, Cshg Logistica 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 Cshg Logistica will offset losses from the drop in Cshg Logistica's long position.| Cshg Atrium vs. Cshg Jhsf Prime | Cshg Atrium vs. Cshg Logistica | Cshg Atrium vs. Real Estate Investment | Cshg Atrium vs. NAVI CRDITO IMOBILIRIO |
| Cshg Logistica vs. Cshg Jhsf Prime | Cshg Logistica vs. Cshg Atrium Shopping | Cshg Logistica vs. Real Estate Investment | Cshg Logistica vs. NAVI CRDITO IMOBILIRIO |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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