Correlation Between Dow Jones and Smith Wesson
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Smith Wesson 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 Smith Wesson 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 Smith Wesson Brands, you can compare the effects of market volatilities on Dow Jones and Smith Wesson 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 Smith Wesson. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Smith Wesson.
Diversification Opportunities for Dow Jones and Smith Wesson
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dow and Smith is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Smith Wesson Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smith Wesson Brands 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 Smith Wesson. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smith Wesson Brands has no effect on the direction of Dow Jones i.e., Dow Jones and Smith Wesson go up and down completely randomly.
Pair Corralation between Dow Jones and Smith Wesson
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.46 times more return on investment than Smith Wesson. However, Dow Jones Industrial is 2.17 times less risky than Smith Wesson. It trades about 0.35 of its potential returns per unit of risk. Smith Wesson Brands is currently generating about 0.0 per unit of risk. If you would invest 4,179,460 in Dow Jones Industrial on September 5, 2024 and sell it today you would earn a total of 291,093 from holding Dow Jones Industrial or generate 6.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Dow Jones Industrial vs. Smith Wesson Brands
Performance |
Timeline |
Dow Jones and Smith Wesson Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Smith Wesson Brands
Pair trading matchups for Smith Wesson
Pair Trading with Dow Jones and Smith Wesson
The main advantage of trading using opposite Dow Jones and Smith Wesson positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Smith Wesson 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 Smith Wesson will offset losses from the drop in Smith Wesson's long position.Dow Jones vs. Shake Shack | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. Dave Busters Entertainment | Dow Jones vs. Meli Hotels International |
Smith Wesson vs. Ammo Inc | Smith Wesson vs. Park Electrochemical | Smith Wesson vs. Ammo Preferred | Smith Wesson vs. National Presto Industries |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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