Correlation Between SoftwareOne Holding and Hoegh Autoliners
Can any of the company-specific risk be diversified away by investing in both SoftwareOne Holding and Hoegh Autoliners 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 SoftwareOne Holding and Hoegh Autoliners into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SoftwareOne Holding and Hoegh Autoliners ASA, you can compare the effects of market volatilities on SoftwareOne Holding and Hoegh Autoliners 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 SoftwareOne Holding with a short position of Hoegh Autoliners. Check out your portfolio center. Please also check ongoing floating volatility patterns of SoftwareOne Holding and Hoegh Autoliners.
Diversification Opportunities for SoftwareOne Holding and Hoegh Autoliners
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SoftwareOne and Hoegh is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding SoftwareOne Holding and Hoegh Autoliners ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hoegh Autoliners ASA and SoftwareOne Holding 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 SoftwareOne Holding are associated (or correlated) with Hoegh Autoliners. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hoegh Autoliners ASA has no effect on the direction of SoftwareOne Holding i.e., SoftwareOne Holding and Hoegh Autoliners go up and down completely randomly.
Pair Corralation between SoftwareOne Holding and Hoegh Autoliners
Assuming the 90 days trading horizon SoftwareOne Holding is expected to under-perform the Hoegh Autoliners. In addition to that, SoftwareOne Holding is 1.44 times more volatile than Hoegh Autoliners ASA. It trades about -0.12 of its total potential returns per unit of risk. Hoegh Autoliners ASA is currently generating about 0.27 per unit of volatility. If you would invest 7,013 in Hoegh Autoliners ASA on April 23, 2025 and sell it today you would earn a total of 2,832 from holding Hoegh Autoliners ASA or generate 40.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 21.31% |
Values | Daily Returns |
SoftwareOne Holding vs. Hoegh Autoliners ASA
Performance |
Timeline |
SoftwareOne Holding |
Hoegh Autoliners ASA |
SoftwareOne Holding and Hoegh Autoliners Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SoftwareOne Holding and Hoegh Autoliners
The main advantage of trading using opposite SoftwareOne Holding and Hoegh Autoliners positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SoftwareOne Holding position performs unexpectedly, Hoegh Autoliners 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 Hoegh Autoliners will offset losses from the drop in Hoegh Autoliners' long position.SoftwareOne Holding vs. Equinor ASA | SoftwareOne Holding vs. DnB ASA | SoftwareOne Holding vs. Aker BP ASA | SoftwareOne Holding vs. Telenor ASA |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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