Correlation Between Aker Horizons and Kongsberg Automotive
Can any of the company-specific risk be diversified away by investing in both Aker Horizons and Kongsberg Automotive 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 Aker Horizons and Kongsberg Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aker Horizons AS and Kongsberg Automotive Holding, you can compare the effects of market volatilities on Aker Horizons and Kongsberg Automotive 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 Aker Horizons with a short position of Kongsberg Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aker Horizons and Kongsberg Automotive.
Diversification Opportunities for Aker Horizons and Kongsberg Automotive
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aker and Kongsberg is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Aker Horizons AS and Kongsberg Automotive Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kongsberg Automotive and Aker Horizons 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 Aker Horizons AS are associated (or correlated) with Kongsberg Automotive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kongsberg Automotive has no effect on the direction of Aker Horizons i.e., Aker Horizons and Kongsberg Automotive go up and down completely randomly.
Pair Corralation between Aker Horizons and Kongsberg Automotive
Assuming the 90 days trading horizon Aker Horizons AS is expected to under-perform the Kongsberg Automotive. In addition to that, Aker Horizons is 1.02 times more volatile than Kongsberg Automotive Holding. It trades about -0.1 of its total potential returns per unit of risk. Kongsberg Automotive Holding is currently generating about 0.03 per unit of volatility. If you would invest 138.00 in Kongsberg Automotive Holding on August 31, 2024 and sell it today you would earn a total of 5.00 from holding Kongsberg Automotive Holding or generate 3.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aker Horizons AS vs. Kongsberg Automotive Holding
Performance |
Timeline |
Aker Horizons AS |
Kongsberg Automotive |
Aker Horizons and Kongsberg Automotive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aker Horizons and Kongsberg Automotive
The main advantage of trading using opposite Aker Horizons and Kongsberg Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aker Horizons position performs unexpectedly, Kongsberg Automotive 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 Kongsberg Automotive will offset losses from the drop in Kongsberg Automotive's long position.Aker Horizons vs. Aker Carbon Capture | Aker Horizons vs. REC Silicon ASA | Aker Horizons vs. Aker Solutions ASA | Aker Horizons vs. Aker BP ASA |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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