Correlation Between Melhus Sparebank and Hoegh Autoliners
Can any of the company-specific risk be diversified away by investing in both Melhus Sparebank 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 Melhus Sparebank and Hoegh Autoliners into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Melhus Sparebank and Hoegh Autoliners ASA, you can compare the effects of market volatilities on Melhus Sparebank 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 Melhus Sparebank with a short position of Hoegh Autoliners. Check out your portfolio center. Please also check ongoing floating volatility patterns of Melhus Sparebank and Hoegh Autoliners.
Diversification Opportunities for Melhus Sparebank and Hoegh Autoliners
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Melhus and Hoegh is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Melhus Sparebank 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 Melhus Sparebank 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 Melhus Sparebank 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 Melhus Sparebank i.e., Melhus Sparebank and Hoegh Autoliners go up and down completely randomly.
Pair Corralation between Melhus Sparebank and Hoegh Autoliners
Assuming the 90 days trading horizon Melhus Sparebank is expected to generate 7.42 times less return on investment than Hoegh Autoliners. But when comparing it to its historical volatility, Melhus Sparebank is 2.8 times less risky than Hoegh Autoliners. It trades about 0.03 of its potential returns per unit of risk. Hoegh Autoliners ASA is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3,682 in Hoegh Autoliners ASA on October 11, 2024 and sell it today you would earn a total of 7,598 from holding Hoegh Autoliners ASA or generate 206.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Melhus Sparebank vs. Hoegh Autoliners ASA
Performance |
Timeline |
Melhus Sparebank |
Hoegh Autoliners ASA |
Melhus Sparebank and Hoegh Autoliners Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Melhus Sparebank and Hoegh Autoliners
The main advantage of trading using opposite Melhus Sparebank and Hoegh Autoliners positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Melhus Sparebank 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.Melhus Sparebank vs. Sparebank 1 Nord Norge | Melhus Sparebank vs. Aurskog Sparebank | Melhus Sparebank vs. Helgeland Sparebank |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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