Correlation Between Alstria Office and Capital Metals
Can any of the company-specific risk be diversified away by investing in both Alstria Office and Capital Metals 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 Alstria Office and Capital Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between alstria office REIT AG and Capital Metals PLC, you can compare the effects of market volatilities on Alstria Office and Capital Metals 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 Alstria Office with a short position of Capital Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alstria Office and Capital Metals.
Diversification Opportunities for Alstria Office and Capital Metals
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alstria and Capital is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding alstria office REIT AG and Capital Metals PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capital Metals PLC and Alstria Office 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 alstria office REIT AG are associated (or correlated) with Capital Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capital Metals PLC has no effect on the direction of Alstria Office i.e., Alstria Office and Capital Metals go up and down completely randomly.
Pair Corralation between Alstria Office and Capital Metals
Assuming the 90 days trading horizon alstria office REIT AG is expected to generate 1.63 times more return on investment than Capital Metals. However, Alstria Office is 1.63 times more volatile than Capital Metals PLC. It trades about 0.18 of its potential returns per unit of risk. Capital Metals PLC is currently generating about -0.05 per unit of risk. If you would invest 295.00 in alstria office REIT AG on October 26, 2024 and sell it today you would earn a total of 254.00 from holding alstria office REIT AG or generate 86.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
alstria office REIT AG vs. Capital Metals PLC
Performance |
Timeline |
alstria office REIT |
Capital Metals PLC |
Alstria Office and Capital Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alstria Office and Capital Metals
The main advantage of trading using opposite Alstria Office and Capital Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alstria Office position performs unexpectedly, Capital Metals 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 Capital Metals will offset losses from the drop in Capital Metals' long position.Alstria Office vs. Playtech Plc | Alstria Office vs. Gamma Communications PLC | Alstria Office vs. Universal Display Corp | Alstria Office vs. Solstad Offshore ASA |
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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 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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