Correlation Between Nordfyns Bank and Jyske Invest
Can any of the company-specific risk be diversified away by investing in both Nordfyns Bank and Jyske Invest 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 Nordfyns Bank and Jyske Invest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nordfyns Bank AS and Jyske Invest Nye, you can compare the effects of market volatilities on Nordfyns Bank and Jyske Invest 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 Nordfyns Bank with a short position of Jyske Invest. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nordfyns Bank and Jyske Invest.
Diversification Opportunities for Nordfyns Bank and Jyske Invest
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Nordfyns and Jyske is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Nordfyns Bank AS and Jyske Invest Nye in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jyske Invest Nye and Nordfyns 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 Nordfyns Bank AS are associated (or correlated) with Jyske Invest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jyske Invest Nye has no effect on the direction of Nordfyns Bank i.e., Nordfyns Bank and Jyske Invest go up and down completely randomly.
Pair Corralation between Nordfyns Bank and Jyske Invest
Assuming the 90 days trading horizon Nordfyns Bank AS is expected to generate 3.7 times more return on investment than Jyske Invest. However, Nordfyns Bank is 3.7 times more volatile than Jyske Invest Nye. It trades about 0.31 of its potential returns per unit of risk. Jyske Invest Nye is currently generating about -0.2 per unit of risk. If you would invest 32,000 in Nordfyns Bank AS on October 10, 2024 and sell it today you would earn a total of 2,400 from holding Nordfyns Bank AS or generate 7.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 94.44% |
| Values | Daily Returns |
Nordfyns Bank AS vs. Jyske Invest Nye
Performance |
| Timeline |
| Nordfyns Bank AS |
| Jyske Invest Nye |
Nordfyns Bank and Jyske Invest Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Nordfyns Bank and Jyske Invest
The main advantage of trading using opposite Nordfyns Bank and Jyske Invest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nordfyns Bank position performs unexpectedly, Jyske Invest 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 Jyske Invest will offset losses from the drop in Jyske Invest's long position.| Nordfyns Bank vs. Skjern Bank AS | Nordfyns Bank vs. Lollands Bank | Nordfyns Bank vs. Djurslands Bank | Nordfyns Bank vs. Moens Bank AS |
| Jyske Invest vs. Nordfyns Bank AS | Jyske Invest vs. Dataproces Group AS | Jyske Invest vs. Vestjysk Bank AS | Jyske Invest vs. Prime Office 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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