Correlation Between Dow Jones and Nordnet One

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

Diversification Opportunities for Dow Jones and Nordnet One

-0.02
  Correlation Coefficient

Good diversification

The 3 months correlation between Dow and Nordnet is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Nordnet One Balansert in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nordnet One Balansert 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 Nordnet One. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nordnet One Balansert has no effect on the direction of Dow Jones i.e., Dow Jones and Nordnet One go up and down completely randomly.
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Pair Corralation between Dow Jones and Nordnet One

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Nordnet One. In addition to that, Dow Jones is 2.82 times more volatile than Nordnet One Balansert. It trades about -0.21 of its total potential returns per unit of risk. Nordnet One Balansert is currently generating about -0.21 per unit of volatility. If you would invest  13,954  in Nordnet One Balansert on October 12, 2024 and sell it today you would lose (127.00) from holding Nordnet One Balansert or give up 0.91% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy76.19%
ValuesDaily Returns

Dow Jones Industrial  vs.  Nordnet One Balansert

 Performance 
       Timeline  

Dow Jones and Nordnet One Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Nordnet One

The main advantage of trading using opposite Dow Jones and Nordnet One positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Nordnet One 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 Nordnet One will offset losses from the drop in Nordnet One's long position.
The idea behind Dow Jones Industrial and Nordnet One Balansert 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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.

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