Correlation Between SpareBank and Alternus Energy
Can any of the company-specific risk be diversified away by investing in both SpareBank and Alternus Energy 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 SpareBank and Alternus Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SpareBank 1 stlandet and Alternus Energy Group, you can compare the effects of market volatilities on SpareBank and Alternus Energy 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 SpareBank with a short position of Alternus Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of SpareBank and Alternus Energy.
Diversification Opportunities for SpareBank and Alternus Energy
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SpareBank and Alternus is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding SpareBank 1 stlandet and Alternus Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alternus Energy Group and 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 SpareBank 1 stlandet are associated (or correlated) with Alternus Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alternus Energy Group has no effect on the direction of SpareBank i.e., SpareBank and Alternus Energy go up and down completely randomly.
Pair Corralation between SpareBank and Alternus Energy
Assuming the 90 days trading horizon SpareBank 1 stlandet is expected to generate 0.08 times more return on investment than Alternus Energy. However, SpareBank 1 stlandet is 12.2 times less risky than Alternus Energy. It trades about 0.04 of its potential returns per unit of risk. Alternus Energy Group is currently generating about -0.07 per unit of risk. If you would invest 14,550 in SpareBank 1 stlandet on September 4, 2024 and sell it today you would earn a total of 432.00 from holding SpareBank 1 stlandet or generate 2.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SpareBank 1 stlandet vs. Alternus Energy Group
Performance |
Timeline |
SpareBank 1 stlandet |
Alternus Energy Group |
SpareBank and Alternus Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SpareBank and Alternus Energy
The main advantage of trading using opposite SpareBank and Alternus Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SpareBank position performs unexpectedly, Alternus Energy 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 Alternus Energy will offset losses from the drop in Alternus Energy's long position.SpareBank vs. Sparebank 1 SMN | SpareBank vs. Sparebank 1 Nord Norge | SpareBank vs. Sparebanken Vest | SpareBank vs. Pareto Bank ASA |
Alternus Energy vs. Sparebanken Ost | Alternus Energy vs. Morrow Bank ASA | Alternus Energy vs. Jaeren Sparebank | Alternus Energy vs. Grieg Seafood 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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