Correlation Between Aptiv PLC and Software Acquisition
Can any of the company-specific risk be diversified away by investing in both Aptiv PLC and Software Acquisition 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 Aptiv PLC and Software Acquisition into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aptiv PLC and Software Acquisition Group, you can compare the effects of market volatilities on Aptiv PLC and Software Acquisition 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 Aptiv PLC with a short position of Software Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aptiv PLC and Software Acquisition.
Diversification Opportunities for Aptiv PLC and Software Acquisition
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Aptiv and Software is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Aptiv PLC and Software Acquisition Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Software Acquisition and Aptiv PLC 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 Aptiv PLC are associated (or correlated) with Software Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Software Acquisition has no effect on the direction of Aptiv PLC i.e., Aptiv PLC and Software Acquisition go up and down completely randomly.
Pair Corralation between Aptiv PLC and Software Acquisition
Given the investment horizon of 90 days Aptiv PLC is expected to generate 3.22 times less return on investment than Software Acquisition. But when comparing it to its historical volatility, Aptiv PLC is 2.01 times less risky than Software Acquisition. It trades about 0.1 of its potential returns per unit of risk. Software Acquisition Group is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 125.00 in Software Acquisition Group on May 20, 2025 and sell it today you would earn a total of 54.00 from holding Software Acquisition Group or generate 43.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aptiv PLC vs. Software Acquisition Group
Performance |
Timeline |
Aptiv PLC |
Software Acquisition |
Aptiv PLC and Software Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aptiv PLC and Software Acquisition
The main advantage of trading using opposite Aptiv PLC and Software Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aptiv PLC position performs unexpectedly, Software Acquisition 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 Software Acquisition will offset losses from the drop in Software Acquisition's long position.Aptiv PLC vs. Allison Transmission Holdings | Aptiv PLC vs. LKQ Corporation | Aptiv PLC vs. Lear Corporation | Aptiv PLC vs. Magna International |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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