Correlation Between Dow Jones and Whirlpool

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

Diversification Opportunities for Dow Jones and Whirlpool

0.51
  Correlation Coefficient

Very weak diversification

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

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Whirlpool. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 3.47 times less risky than Whirlpool. The index trades about -0.2 of its potential returns per unit of risk. The Whirlpool is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  10,730  in Whirlpool on September 28, 2024 and sell it today you would earn a total of  240.00  from holding Whirlpool or generate 2.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.24%
ValuesDaily Returns

Dow Jones Industrial  vs.  Whirlpool

 Performance 
       Timeline  

Dow Jones and Whirlpool Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Whirlpool

The main advantage of trading using opposite Dow Jones and Whirlpool positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Whirlpool 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 Whirlpool will offset losses from the drop in Whirlpool's long position.
The idea behind Dow Jones Industrial and Whirlpool 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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