Correlation Between Dow Jones and Hvidbjerg Bank
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Hvidbjerg Bank 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 Dow Jones and Hvidbjerg Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Hvidbjerg Bank, you can compare the effects of market volatilities on Dow Jones and Hvidbjerg Bank 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 Dow Jones with a short position of Hvidbjerg Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Hvidbjerg Bank.
Diversification Opportunities for Dow Jones and Hvidbjerg Bank
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dow and Hvidbjerg is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Hvidbjerg Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hvidbjerg Bank and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Hvidbjerg Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hvidbjerg Bank has no effect on the direction of Dow Jones i.e., Dow Jones and Hvidbjerg Bank go up and down completely randomly.
Pair Corralation between Dow Jones and Hvidbjerg Bank
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.76 times more return on investment than Hvidbjerg Bank. However, Dow Jones Industrial is 1.31 times less risky than Hvidbjerg Bank. It trades about 0.26 of its potential returns per unit of risk. Hvidbjerg Bank is currently generating about 0.13 per unit of risk. If you would invest 4,238,757 in Dow Jones Industrial on August 29, 2024 and sell it today you would earn a total of 247,274 from holding Dow Jones Industrial or generate 5.83% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
Dow Jones Industrial vs. Hvidbjerg Bank
Performance |
| Timeline |
Dow Jones and Hvidbjerg Bank Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Hvidbjerg Bank
Pair trading matchups for Hvidbjerg Bank
Pair Trading with Dow Jones and Hvidbjerg Bank
The main advantage of trading using opposite Dow Jones and Hvidbjerg Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Hvidbjerg Bank 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 Hvidbjerg Bank will offset losses from the drop in Hvidbjerg Bank's long position.| Dow Jones vs. Kaltura | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. US Global Investors | Dow Jones vs. Analog Devices |
| Hvidbjerg Bank vs. Sydbank AS | Hvidbjerg Bank vs. Jyske Bank AS | Hvidbjerg Bank vs. Alm Brand | Hvidbjerg Bank vs. Nordea Bank Abp |
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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