Correlation Between Nordea Bank and National Capital
Can any of the company-specific risk be diversified away by investing in both Nordea Bank and National Capital 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 Nordea Bank and National Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nordea Bank Abp and National Capital Bank, you can compare the effects of market volatilities on Nordea Bank and National Capital 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 Nordea Bank with a short position of National Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nordea Bank and National Capital.
Diversification Opportunities for Nordea Bank and National Capital
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Nordea and National is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Nordea Bank Abp and National Capital Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Capital Bank and Nordea 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 Nordea Bank Abp are associated (or correlated) with National Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Capital Bank has no effect on the direction of Nordea Bank i.e., Nordea Bank and National Capital go up and down completely randomly.
Pair Corralation between Nordea Bank and National Capital
Assuming the 90 days horizon Nordea Bank Abp is expected to under-perform the National Capital. But the pink sheet apears to be less risky and, when comparing its historical volatility, Nordea Bank Abp is 85.5 times less risky than National Capital. The pink sheet trades about -0.11 of its potential returns per unit of risk. The National Capital Bank is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 18,500 in National Capital Bank on September 20, 2024 and sell it today you would lose (11,000) from holding National Capital Bank or give up 59.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Nordea Bank Abp vs. National Capital Bank
Performance |
Timeline |
Nordea Bank Abp |
National Capital Bank |
Nordea Bank and National Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nordea Bank and National Capital
The main advantage of trading using opposite Nordea Bank and National Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nordea Bank position performs unexpectedly, National Capital 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 National Capital will offset losses from the drop in National Capital's long position.Nordea Bank vs. Morningstar Unconstrained Allocation | Nordea Bank vs. Bondbloxx ETF Trust | Nordea Bank vs. Spring Valley Acquisition | Nordea Bank vs. Bondbloxx ETF Trust |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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