Correlation Between Novo Nordisk and Vestas Wind
Can any of the company-specific risk be diversified away by investing in both Novo Nordisk and Vestas Wind 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 Novo Nordisk and Vestas Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Novo Nordisk AS and Vestas Wind Systems, you can compare the effects of market volatilities on Novo Nordisk and Vestas Wind 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 Novo Nordisk with a short position of Vestas Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Novo Nordisk and Vestas Wind.
Diversification Opportunities for Novo Nordisk and Vestas Wind
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Novo and Vestas is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Novo Nordisk AS and Vestas Wind Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vestas Wind Systems and Novo Nordisk 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 Novo Nordisk AS are associated (or correlated) with Vestas Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vestas Wind Systems has no effect on the direction of Novo Nordisk i.e., Novo Nordisk and Vestas Wind go up and down completely randomly.
Pair Corralation between Novo Nordisk and Vestas Wind
Assuming the 90 days trading horizon Novo Nordisk AS is expected to under-perform the Vestas Wind. But the stock apears to be less risky and, when comparing its historical volatility, Novo Nordisk AS is 1.09 times less risky than Vestas Wind. The stock trades about -0.13 of its potential returns per unit of risk. The Vestas Wind Systems is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 9,808 in Vestas Wind Systems on December 30, 2024 and sell it today you would earn a total of 202.00 from holding Vestas Wind Systems or generate 2.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Novo Nordisk AS vs. Vestas Wind Systems
Performance |
Timeline |
Novo Nordisk AS |
Vestas Wind Systems |
Novo Nordisk and Vestas Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Novo Nordisk and Vestas Wind
The main advantage of trading using opposite Novo Nordisk and Vestas Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Novo Nordisk position performs unexpectedly, Vestas Wind 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 Vestas Wind will offset losses from the drop in Vestas Wind's long position.Novo Nordisk vs. Vestas Wind Systems | Novo Nordisk vs. Danske Bank AS | Novo Nordisk vs. Bavarian Nordic | Novo Nordisk vs. DSV Panalpina AS |
Vestas Wind vs. Orsted AS | Vestas Wind vs. Danske Bank AS | Vestas Wind vs. Bavarian Nordic | Vestas Wind vs. DSV Panalpina 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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