Correlation Between Newell Brands and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Newell Brands and Dow Jones 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 Newell Brands and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Newell Brands and Dow Jones Industrial, you can compare the effects of market volatilities on Newell Brands and Dow Jones 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 Newell Brands with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Newell Brands and Dow Jones.
Diversification Opportunities for Newell Brands and Dow Jones
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Newell and Dow is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Newell Brands and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Newell Brands 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 Newell Brands are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Newell Brands i.e., Newell Brands and Dow Jones go up and down completely randomly.
Pair Corralation between Newell Brands and Dow Jones
Considering the 90-day investment horizon Newell Brands is expected to under-perform the Dow Jones. In addition to that, Newell Brands is 1.85 times more volatile than Dow Jones Industrial. It trades about -0.11 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.22 per unit of volatility. If you would invest 4,238,757 in Dow Jones Industrial on August 27, 2024 and sell it today you would earn a total of 190,894 from holding Dow Jones Industrial or generate 4.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Newell Brands vs. Dow Jones Industrial
Performance |
| Timeline |
Newell Brands and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Newell Brands
Pair trading matchups for Newell Brands
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Newell Brands and Dow Jones
The main advantage of trading using opposite Newell Brands and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Newell Brands position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Newell Brands vs. The Clorox | Newell Brands vs. Colgate Palmolive | Newell Brands vs. Procter Gamble | Newell Brands vs. Unilever PLC ADR |
| Dow Jones vs. MI Homes | Dow Jones vs. Franklin Street Properties | Dow Jones vs. Summit Hotel Properties | Dow Jones vs. Portillos |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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