Correlation Between Alstria Office and Power Assets
Can any of the company-specific risk be diversified away by investing in both Alstria Office and Power Assets 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 Power Assets 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 Power Assets Holdings, you can compare the effects of market volatilities on Alstria Office and Power Assets 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 Power Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alstria Office and Power Assets.
Diversification Opportunities for Alstria Office and Power Assets
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Alstria and Power is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding alstria office REIT AG and Power Assets Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Assets Holdings 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 Power Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Assets Holdings has no effect on the direction of Alstria Office i.e., Alstria Office and Power Assets go up and down completely randomly.
Pair Corralation between Alstria Office and Power Assets
Assuming the 90 days horizon Alstria Office is expected to generate 8.18 times less return on investment than Power Assets. But when comparing it to its historical volatility, alstria office REIT AG is 1.18 times less risky than Power Assets. It trades about 0.01 of its potential returns per unit of risk. Power Assets Holdings is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 151.00 in Power Assets Holdings on October 9, 2024 and sell it today you would earn a total of 509.00 from holding Power Assets Holdings or generate 337.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
alstria office REIT AG vs. Power Assets Holdings
Performance |
Timeline |
alstria office REIT |
Power Assets Holdings |
Alstria Office and Power Assets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alstria Office and Power Assets
The main advantage of trading using opposite Alstria Office and Power Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alstria Office position performs unexpectedly, Power Assets 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 Power Assets will offset losses from the drop in Power Assets' long position.Alstria Office vs. BE Semiconductor Industries | Alstria Office vs. Cass Information Systems | Alstria Office vs. Pure Storage | Alstria Office vs. Northern Data AG |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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