Correlation Between Dow Jones and Thor Industries
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Thor Industries 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 Thor Industries 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 Thor Industries, you can compare the effects of market volatilities on Dow Jones and Thor Industries 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 Thor Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Thor Industries.
Diversification Opportunities for Dow Jones and Thor Industries
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and Thor is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Thor Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thor Industries 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 Thor Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thor Industries has no effect on the direction of Dow Jones i.e., Dow Jones and Thor Industries go up and down completely randomly.
Pair Corralation between Dow Jones and Thor Industries
Assuming the 90 days trading horizon Dow Jones is expected to generate 212.67 times less return on investment than Thor Industries. But when comparing it to its historical volatility, Dow Jones Industrial is 1.82 times less risky than Thor Industries. It trades about 0.0 of its potential returns per unit of risk. Thor Industries is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 8,509 in Thor Industries on March 7, 2025 and sell it today you would earn a total of 82.00 from holding Thor Industries or generate 0.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Thor Industries
Performance |
Timeline |
Dow Jones and Thor Industries Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Thor Industries
Pair trading matchups for Thor Industries
Pair Trading with Dow Jones and Thor Industries
The main advantage of trading using opposite Dow Jones and Thor Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Thor Industries 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 Thor Industries will offset losses from the drop in Thor Industries' long position.Dow Jones vs. Space Communication | Dow Jones vs. Freedom Internet Group | Dow Jones vs. Radian Group | Dow Jones vs. Alignment Healthcare LLC |
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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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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