Correlation Between Dow Jones and DICKER DATA
Can any of the company-specific risk be diversified away by investing in both Dow Jones and DICKER DATA 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 DICKER DATA 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 DICKER DATA LTD, you can compare the effects of market volatilities on Dow Jones and DICKER DATA 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 DICKER DATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and DICKER DATA.
Diversification Opportunities for Dow Jones and DICKER DATA
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dow and DICKER is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and DICKER DATA LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DICKER DATA LTD 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 DICKER DATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DICKER DATA LTD has no effect on the direction of Dow Jones i.e., Dow Jones and DICKER DATA go up and down completely randomly.
Pair Corralation between Dow Jones and DICKER DATA
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.27 times more return on investment than DICKER DATA. However, Dow Jones Industrial is 3.67 times less risky than DICKER DATA. It trades about 0.12 of its potential returns per unit of risk. DICKER DATA LTD is currently generating about 0.02 per unit of risk. If you would invest 3,387,678 in Dow Jones Industrial on September 1, 2024 and sell it today you would earn a total of 1,103,387 from holding Dow Jones Industrial or generate 32.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 97.89% |
| Values | Daily Returns |
Dow Jones Industrial vs. DICKER DATA LTD
Performance |
| Timeline |
Dow Jones and DICKER DATA Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
DICKER DATA LTD
Pair trading matchups for DICKER DATA
Pair Trading with Dow Jones and DICKER DATA
The main advantage of trading using opposite Dow Jones and DICKER DATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, DICKER DATA 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 DICKER DATA will offset losses from the drop in DICKER DATA's long position.| Dow Jones vs. Catalyst Pharmaceuticals | Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. National CineMedia | Dow Jones vs. Mink Therapeutics |
| DICKER DATA vs. Japan Post Insurance | DICKER DATA vs. HANOVER INSURANCE | DICKER DATA vs. QBE Insurance Group | DICKER DATA vs. Selective Insurance Group |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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