Correlation Between Software Acquisition and SL Green
Can any of the company-specific risk be diversified away by investing in both Software Acquisition and SL Green 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 Software Acquisition and SL Green into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Software Acquisition Group and SL Green Realty, you can compare the effects of market volatilities on Software Acquisition and SL Green 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 Software Acquisition with a short position of SL Green. Check out your portfolio center. Please also check ongoing floating volatility patterns of Software Acquisition and SL Green.
Diversification Opportunities for Software Acquisition and SL Green
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Software and SLG is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Software Acquisition Group and SL Green Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SL Green Realty and Software Acquisition 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 Software Acquisition Group are associated (or correlated) with SL Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SL Green Realty has no effect on the direction of Software Acquisition i.e., Software Acquisition and SL Green go up and down completely randomly.
Pair Corralation between Software Acquisition and SL Green
Assuming the 90 days horizon Software Acquisition Group is expected to generate 14.4 times more return on investment than SL Green. However, Software Acquisition is 14.4 times more volatile than SL Green Realty. It trades about 0.1 of its potential returns per unit of risk. SL Green Realty is currently generating about -0.21 per unit of risk. If you would invest 1.79 in Software Acquisition Group on October 9, 2024 and sell it today you would lose (0.52) from holding Software Acquisition Group or give up 29.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 82.05% |
Values | Daily Returns |
Software Acquisition Group vs. SL Green Realty
Performance |
Timeline |
Software Acquisition |
SL Green Realty |
Software Acquisition and SL Green Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Software Acquisition and SL Green
The main advantage of trading using opposite Software Acquisition and SL Green positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Software Acquisition position performs unexpectedly, SL Green 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 SL Green will offset losses from the drop in SL Green's long position.Software Acquisition vs. Avadel Pharmaceuticals PLC | Software Acquisition vs. Jabil Circuit | Software Acquisition vs. Tandem Diabetes Care | Software Acquisition vs. CTS Corporation |
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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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