Correlation Between Dow Jones and Skjern Bank
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Skjern 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 Skjern 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 Skjern Bank AS, you can compare the effects of market volatilities on Dow Jones and Skjern 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 Skjern Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Skjern Bank.
Diversification Opportunities for Dow Jones and Skjern Bank
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Dow and Skjern is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Skjern Bank AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Skjern Bank AS 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 Skjern Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Skjern Bank AS has no effect on the direction of Dow Jones i.e., Dow Jones and Skjern Bank go up and down completely randomly.
Pair Corralation between Dow Jones and Skjern Bank
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.83 times more return on investment than Skjern Bank. However, Dow Jones Industrial is 1.21 times less risky than Skjern Bank. It trades about 0.27 of its potential returns per unit of risk. Skjern Bank AS is currently generating about -0.3 per unit of risk. If you would invest 4,238,757 in Dow Jones Industrial on August 28, 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 Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. Skjern Bank AS
Performance |
| Timeline |
Dow Jones and Skjern Bank Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Skjern Bank AS
Pair trading matchups for Skjern Bank
Pair Trading with Dow Jones and Skjern Bank
The main advantage of trading using opposite Dow Jones and Skjern Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Skjern 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 Skjern Bank will offset losses from the drop in Skjern Bank's long position.| Dow Jones vs. CECO Environmental Corp | Dow Jones vs. Western Acquisition Ventures | Dow Jones vs. Tyson Foods | Dow Jones vs. Inflection Point Acquisition |
| Skjern Bank vs. Dataproces Group AS | Skjern Bank vs. cBrain AS | Skjern Bank vs. ALK Abell AS | Skjern Bank vs. ChemoMetec 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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