Correlation Between ALBIS LEASING and Scientific Games
Can any of the company-specific risk be diversified away by investing in both ALBIS LEASING and Scientific Games 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 Scientific Games 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 Scientific Games, you can compare the effects of market volatilities on ALBIS LEASING and Scientific Games 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 Scientific Games. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALBIS LEASING and Scientific Games.
Diversification Opportunities for ALBIS LEASING and Scientific Games
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between ALBIS and Scientific is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding ALBIS LEASING AG and Scientific Games in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scientific Games 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 Scientific Games. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scientific Games has no effect on the direction of ALBIS LEASING i.e., ALBIS LEASING and Scientific Games go up and down completely randomly.
Pair Corralation between ALBIS LEASING and Scientific Games
Assuming the 90 days trading horizon ALBIS LEASING is expected to generate 4.62 times less return on investment than Scientific Games. But when comparing it to its historical volatility, ALBIS LEASING AG is 7.03 times less risky than Scientific Games. It trades about 0.13 of its potential returns per unit of risk. Scientific Games is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 7,150 in Scientific Games on April 7, 2025 and sell it today you would earn a total of 1,150 from holding Scientific Games or generate 16.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ALBIS LEASING AG vs. Scientific Games
Performance |
Timeline |
ALBIS LEASING AG |
Scientific Games |
ALBIS LEASING and Scientific Games Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALBIS LEASING and Scientific Games
The main advantage of trading using opposite ALBIS LEASING and Scientific Games positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALBIS LEASING position performs unexpectedly, Scientific Games 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 Scientific Games will offset losses from the drop in Scientific Games' long position.ALBIS LEASING vs. Television Broadcasts Limited | ALBIS LEASING vs. Texas Roadhouse | ALBIS LEASING vs. Unity Software | ALBIS LEASING vs. Magic Software Enterprises |
Scientific Games vs. ORMAT TECHNOLOGIES | Scientific Games vs. ACCSYS TECHPLC EO | Scientific Games vs. CENTURIA OFFICE REIT | Scientific Games vs. Tower One Wireless |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Other Complementary Tools
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data |