Correlation Between Dow Jones and Walker Dunlop

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

Diversification Opportunities for Dow Jones and Walker Dunlop

0.51

Correlation Coefficient

Dow Jones  Walker Dunlop

Very weak diversification

The 3 months correlation between Dow and Walker is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Walker Dunlop in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Walker Dunlop 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 Walker Dunlop. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Walker Dunlop has no effect on the direction of Dow Jones i.e., Dow Jones and Walker Dunlop go up and down completely randomly.

Pair Corralation between Dow Jones and Walker Dunlop

Assuming the 90 days trading horizon Dow Jones is expected to generate 1.59 times less return on investment than Walker Dunlop. But when comparing it to its historical volatility, Dow Jones Industrial is 3.03 times less risky than Walker Dunlop. It trades about 0.08 of its potential returns per unit of risk. Walker Dunlop is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  6,904  in Walker Dunlop on September 22, 2024 and sell it today you would earn a total of  2,596  from holding Walker Dunlop or generate 37.6% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.02%
Values	Daily Returns

Dow Jones Industrial  vs.  Walker Dunlop

Pair Trading with Dow Jones and Walker Dunlop

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

The idea behind Dow Jones Industrial and Walker Dunlop 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.