Correlation Between Dow Jones and Daimler Truck

Can any of the company-specific risk be diversified away by investing in both Dow Jones and Daimler Truck 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 Daimler Truck 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 Daimler Truck Holding, you can compare the effects of market volatilities on Dow Jones and Daimler Truck 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 Daimler Truck. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Daimler Truck.

Diversification Opportunities for Dow Jones and Daimler Truck

0.23

Correlation Coefficient

Dow Jones  Daimler Truck

Modest diversification

The 3 months correlation between Dow and Daimler is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Daimler Truck Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daimler Truck Holding 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 Daimler Truck. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daimler Truck Holding has no effect on the direction of Dow Jones i.e., Dow Jones and Daimler Truck go up and down completely randomly.

Pair Corralation between Dow Jones and Daimler Truck

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Daimler Truck. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 3.4 times less risky than Daimler Truck. The index trades about -0.04 of its potential returns per unit of risk. The Daimler Truck Holding is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  3,657  in Daimler Truck Holding on December 21, 2024 and sell it today you would earn a total of  276.00  from holding Daimler Truck Holding or generate 7.55% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	98.33%
Values	Daily Returns

Dow Jones Industrial  vs.  Daimler Truck Holding

Pair Trading with Dow Jones and Daimler Truck

The main advantage of trading using opposite Dow Jones and Daimler Truck positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Daimler Truck 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 Daimler Truck will offset losses from the drop in Daimler Truck's long position.

The idea behind Dow Jones Industrial and Daimler Truck Holding pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.