Correlation Between Lollands Bank and Silkeborg
Can any of the company-specific risk be diversified away by investing in both Lollands Bank and Silkeborg 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 Lollands Bank and Silkeborg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lollands Bank and Silkeborg IF Invest, you can compare the effects of market volatilities on Lollands Bank and Silkeborg 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 Lollands Bank with a short position of Silkeborg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lollands Bank and Silkeborg.
Diversification Opportunities for Lollands Bank and Silkeborg
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lollands and Silkeborg is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Lollands Bank and Silkeborg IF Invest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silkeborg IF Invest and Lollands Bank 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 Lollands Bank are associated (or correlated) with Silkeborg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silkeborg IF Invest has no effect on the direction of Lollands Bank i.e., Lollands Bank and Silkeborg go up and down completely randomly.
Pair Corralation between Lollands Bank and Silkeborg
Assuming the 90 days trading horizon Lollands Bank is expected to generate 4.41 times less return on investment than Silkeborg. But when comparing it to its historical volatility, Lollands Bank is 1.66 times less risky than Silkeborg. It trades about 0.03 of its potential returns per unit of risk. Silkeborg IF Invest is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1,990 in Silkeborg IF Invest on December 10, 2024 and sell it today you would earn a total of 2,830 from holding Silkeborg IF Invest or generate 142.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lollands Bank vs. Silkeborg IF Invest
Performance |
| Timeline |
| Lollands Bank |
| Silkeborg IF Invest |
Lollands Bank and Silkeborg Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lollands Bank and Silkeborg
The main advantage of trading using opposite Lollands Bank and Silkeborg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lollands Bank position performs unexpectedly, Silkeborg 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 Silkeborg will offset losses from the drop in Silkeborg's long position.| Lollands Bank vs. Skjern Bank AS | Lollands Bank vs. Kreditbanken AS | Lollands Bank vs. Djurslands Bank | Lollands Bank vs. Groenlandsbanken AS |
| Silkeborg vs. PARKEN Sport Entertainment | Silkeborg vs. Aalborg Boldspilklub AS | Silkeborg vs. Broendbyernes IF Fodbold | Silkeborg vs. Strategic Investments AS |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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