Correlation Between YH Dimri and Dow Jones

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Can any of the company-specific risk be diversified away by investing in both YH Dimri and Dow Jones 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 YH Dimri and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YH Dimri Construction and Dow Jones Industrial, you can compare the effects of market volatilities on YH Dimri and Dow Jones 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 YH Dimri with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of YH Dimri and Dow Jones.

Diversification Opportunities for YH Dimri and Dow Jones

0.79
  Correlation Coefficient

Poor diversification

The 3 months correlation between DIMRI and Dow is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding YH Dimri Construction and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and YH Dimri 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 YH Dimri Construction are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of YH Dimri i.e., YH Dimri and Dow Jones go up and down completely randomly.
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Pair Corralation between YH Dimri and Dow Jones

Assuming the 90 days trading horizon YH Dimri Construction is expected to generate 3.58 times more return on investment than Dow Jones. However, YH Dimri is 3.58 times more volatile than Dow Jones Industrial. It trades about 0.18 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.23 per unit of risk. If you would invest  3,140,000  in YH Dimri Construction on April 24, 2025 and sell it today you would earn a total of  798,000  from holding YH Dimri Construction or generate 25.41% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy78.69%
ValuesDaily Returns

YH Dimri Construction  vs.  Dow Jones Industrial

 Performance 
       Timeline  

YH Dimri and Dow Jones Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with YH Dimri and Dow Jones

The main advantage of trading using opposite YH Dimri and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YH Dimri position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.
The idea behind YH Dimri Construction and Dow Jones Industrial 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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