Correlation Between ALBIS LEASING and Axcelis Technologies
Can any of the company-specific risk be diversified away by investing in both ALBIS LEASING and Axcelis Technologies 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 ALBIS LEASING and Axcelis Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALBIS LEASING AG and Axcelis Technologies, you can compare the effects of market volatilities on ALBIS LEASING and Axcelis Technologies 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 ALBIS LEASING with a short position of Axcelis Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALBIS LEASING and Axcelis Technologies.
Diversification Opportunities for ALBIS LEASING and Axcelis Technologies
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ALBIS and Axcelis is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding ALBIS LEASING AG and Axcelis Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axcelis Technologies and ALBIS LEASING 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 ALBIS LEASING AG are associated (or correlated) with Axcelis Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Axcelis Technologies has no effect on the direction of ALBIS LEASING i.e., ALBIS LEASING and Axcelis Technologies go up and down completely randomly.
Pair Corralation between ALBIS LEASING and Axcelis Technologies
Assuming the 90 days trading horizon ALBIS LEASING AG is expected to generate 0.18 times more return on investment than Axcelis Technologies. However, ALBIS LEASING AG is 5.45 times less risky than Axcelis Technologies. It trades about -0.11 of its potential returns per unit of risk. Axcelis Technologies is currently generating about -0.23 per unit of risk. If you would invest 282.00 in ALBIS LEASING AG on December 31, 2024 and sell it today you would lose (8.00) from holding ALBIS LEASING AG or give up 2.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ALBIS LEASING AG vs. Axcelis Technologies
Performance |
Timeline |
ALBIS LEASING AG |
Axcelis Technologies |
ALBIS LEASING and Axcelis Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALBIS LEASING and Axcelis Technologies
The main advantage of trading using opposite ALBIS LEASING and Axcelis Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALBIS LEASING position performs unexpectedly, Axcelis Technologies 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 Axcelis Technologies will offset losses from the drop in Axcelis Technologies' long position.ALBIS LEASING vs. American Homes 4 | ALBIS LEASING vs. INVITATION HOMES DL | ALBIS LEASING vs. bet at home AG | ALBIS LEASING vs. Taylor Morrison Home |
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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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