Correlation Between Dow Jones and Fpa Flexible

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

Diversification Opportunities for Dow Jones and Fpa Flexible

-0.21
  Correlation Coefficient

Very good diversification

The 3 months correlation between Dow and Fpa is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Fpa Flexible Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fpa Flexible Fixed 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 Fpa Flexible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fpa Flexible Fixed has no effect on the direction of Dow Jones i.e., Dow Jones and Fpa Flexible go up and down completely randomly.
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Pair Corralation between Dow Jones and Fpa Flexible

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Fpa Flexible. In addition to that, Dow Jones is 3.78 times more volatile than Fpa Flexible Fixed. It trades about -0.21 of its total potential returns per unit of risk. Fpa Flexible Fixed is currently generating about -0.19 per unit of volatility. If you would invest  1,014  in Fpa Flexible Fixed on September 26, 2024 and sell it today you would lose (8.00) from holding Fpa Flexible Fixed or give up 0.79% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Dow Jones Industrial  vs.  Fpa Flexible Fixed

 Performance 
       Timeline  

Dow Jones and Fpa Flexible Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Fpa Flexible

The main advantage of trading using opposite Dow Jones and Fpa Flexible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Fpa Flexible 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 Fpa Flexible will offset losses from the drop in Fpa Flexible's long position.
The idea behind Dow Jones Industrial and Fpa Flexible Fixed 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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