Correlation Between Alefarm Brewing and Bavarian Nordic
Can any of the company-specific risk be diversified away by investing in both Alefarm Brewing and Bavarian Nordic 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 Alefarm Brewing and Bavarian Nordic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alefarm Brewing AS and Bavarian Nordic, you can compare the effects of market volatilities on Alefarm Brewing and Bavarian Nordic 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 Alefarm Brewing with a short position of Bavarian Nordic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alefarm Brewing and Bavarian Nordic.
Diversification Opportunities for Alefarm Brewing and Bavarian Nordic
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Alefarm and Bavarian is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Alefarm Brewing AS and Bavarian Nordic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bavarian Nordic and Alefarm Brewing 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 Alefarm Brewing AS are associated (or correlated) with Bavarian Nordic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bavarian Nordic has no effect on the direction of Alefarm Brewing i.e., Alefarm Brewing and Bavarian Nordic go up and down completely randomly.
Pair Corralation between Alefarm Brewing and Bavarian Nordic
Assuming the 90 days trading horizon Alefarm Brewing AS is expected to under-perform the Bavarian Nordic. But the stock apears to be less risky and, when comparing its historical volatility, Alefarm Brewing AS is 1.02 times less risky than Bavarian Nordic. The stock trades about -0.12 of its potential returns per unit of risk. The Bavarian Nordic is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 20,690 in Bavarian Nordic on October 6, 2024 and sell it today you would lose (725.00) from holding Bavarian Nordic or give up 3.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alefarm Brewing AS vs. Bavarian Nordic
Performance |
Timeline |
Alefarm Brewing AS |
Bavarian Nordic |
Alefarm Brewing and Bavarian Nordic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alefarm Brewing and Bavarian Nordic
The main advantage of trading using opposite Alefarm Brewing and Bavarian Nordic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alefarm Brewing position performs unexpectedly, Bavarian Nordic 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 Bavarian Nordic will offset losses from the drop in Bavarian Nordic's long position.Alefarm Brewing vs. Danske Invest | Alefarm Brewing vs. BankInvest Optima 30 | Alefarm Brewing vs. Gabriel Holding | Alefarm Brewing vs. Danske Invest Euro |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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