Correlation Between Dow Jones and Pabrai Wagons

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

Diversification Opportunities for Dow Jones and Pabrai Wagons

0.89

Correlation Coefficient

Dow Jones  Pabrai Wagons

Very poor diversification

The 3 months correlation between Dow and Pabrai is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Pabrai Wagons Institutional in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pabrai Wagons Instit 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 Pabrai Wagons. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pabrai Wagons Instit has no effect on the direction of Dow Jones i.e., Dow Jones and Pabrai Wagons go up and down completely randomly.

Pair Corralation between Dow Jones and Pabrai Wagons

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.58 times more return on investment than Pabrai Wagons. However, Dow Jones Industrial is 1.73 times less risky than Pabrai Wagons. It trades about 0.08 of its potential returns per unit of risk. Pabrai Wagons Institutional is currently generating about 0.04 per unit of risk. If you would invest  3,736,112  in Dow Jones Industrial on October 10, 2024 and sell it today you would earn a total of  527,408  from holding Dow Jones Industrial or generate 14.12% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	99.6%
Values	Daily Returns

Dow Jones Industrial  vs.  Pabrai Wagons Institutional

Pair Trading with Dow Jones and Pabrai Wagons

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

The idea behind Dow Jones Industrial and Pabrai Wagons Institutional 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.