Correlation Between Dow Jones and Driven Brands
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Driven Brands 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 Driven Brands 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 Driven Brands Holdings, you can compare the effects of market volatilities on Dow Jones and Driven Brands 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 Driven Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Driven Brands.
Diversification Opportunities for Dow Jones and Driven Brands
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and Driven is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Driven Brands Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Driven Brands Holdings 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 Driven Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Driven Brands Holdings has no effect on the direction of Dow Jones i.e., Dow Jones and Driven Brands go up and down completely randomly.
Pair Corralation between Dow Jones and Driven Brands
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Driven Brands. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 2.29 times less risky than Driven Brands. The index trades about -0.04 of its potential returns per unit of risk. The Driven Brands Holdings is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,596 in Driven Brands Holdings on December 29, 2024 and sell it today you would earn a total of 190.00 from holding Driven Brands Holdings or generate 11.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Driven Brands Holdings
Performance |
Timeline |
Dow Jones and Driven Brands Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Driven Brands Holdings
Pair trading matchups for Driven Brands
Pair Trading with Dow Jones and Driven Brands
The main advantage of trading using opposite Dow Jones and Driven Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Driven Brands 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 Driven Brands will offset losses from the drop in Driven Brands' long position.Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Falcon Metals Limited | Dow Jones vs. Broadstone Net Lease | Dow Jones vs. PennantPark Investment |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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