Correlation Between Romerike Sparebank and Ocean GeoLoop
Can any of the company-specific risk be diversified away by investing in both Romerike Sparebank and Ocean GeoLoop 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 Romerike Sparebank and Ocean GeoLoop into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Romerike Sparebank and Ocean GeoLoop AS, you can compare the effects of market volatilities on Romerike Sparebank and Ocean GeoLoop 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 Romerike Sparebank with a short position of Ocean GeoLoop. Check out your portfolio center. Please also check ongoing floating volatility patterns of Romerike Sparebank and Ocean GeoLoop.
Diversification Opportunities for Romerike Sparebank and Ocean GeoLoop
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Romerike and Ocean is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Romerike Sparebank and Ocean GeoLoop AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ocean GeoLoop AS and Romerike 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 Romerike Sparebank are associated (or correlated) with Ocean GeoLoop. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ocean GeoLoop AS has no effect on the direction of Romerike Sparebank i.e., Romerike Sparebank and Ocean GeoLoop go up and down completely randomly.
Pair Corralation between Romerike Sparebank and Ocean GeoLoop
Assuming the 90 days trading horizon Romerike Sparebank is expected to under-perform the Ocean GeoLoop. But the stock apears to be less risky and, when comparing its historical volatility, Romerike Sparebank is 14.03 times less risky than Ocean GeoLoop. The stock trades about -0.18 of its potential returns per unit of risk. The Ocean GeoLoop AS is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 450.00 in Ocean GeoLoop AS on October 23, 2024 and sell it today you would earn a total of 100.00 from holding Ocean GeoLoop AS or generate 22.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Romerike Sparebank vs. Ocean GeoLoop AS
Performance |
Timeline |
Romerike Sparebank |
Ocean GeoLoop AS |
Romerike Sparebank and Ocean GeoLoop Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Romerike Sparebank and Ocean GeoLoop
The main advantage of trading using opposite Romerike Sparebank and Ocean GeoLoop positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Romerike Sparebank position performs unexpectedly, Ocean GeoLoop 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 Ocean GeoLoop will offset losses from the drop in Ocean GeoLoop's long position.Romerike Sparebank vs. Eidesvik Offshore ASA | Romerike Sparebank vs. Lery Seafood Group | Romerike Sparebank vs. Techstep ASA | Romerike Sparebank vs. Sparebanken Ost |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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