Correlation Between DAX Index and FISH PAYK

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

Diversification Opportunities for DAX Index and FISH PAYK

-0.2
  Correlation Coefficient

Good diversification

The 3 months correlation between DAX and FISH is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and FISH PAYK HEALTH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FISH PAYK HEALTH and DAX Index 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 DAX Index are associated (or correlated) with FISH PAYK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FISH PAYK HEALTH has no effect on the direction of DAX Index i.e., DAX Index and FISH PAYK go up and down completely randomly.
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Pair Corralation between DAX Index and FISH PAYK

Assuming the 90 days trading horizon DAX Index is expected to generate 2.65 times less return on investment than FISH PAYK. But when comparing it to its historical volatility, DAX Index is 2.25 times less risky than FISH PAYK. It trades about 0.13 of its potential returns per unit of risk. FISH PAYK HEALTH is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest  1,990  in FISH PAYK HEALTH on September 3, 2024 and sell it today you would earn a total of  130.00  from holding FISH PAYK HEALTH or generate 6.53% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  FISH PAYK HEALTH

 Performance 
       Timeline  

DAX Index and FISH PAYK Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and FISH PAYK

The main advantage of trading using opposite DAX Index and FISH PAYK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, FISH PAYK 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 FISH PAYK will offset losses from the drop in FISH PAYK's long position.
The idea behind DAX Index and FISH PAYK HEALTH 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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