Correlation Between Austrian Traded and Facc AG

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

Diversification Opportunities for Austrian Traded and Facc AG

0.5
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Austrian and Facc is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Austrian Traded Index and Facc AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Facc AG and Austrian Traded 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 Austrian Traded Index are associated (or correlated) with Facc AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Facc AG has no effect on the direction of Austrian Traded i.e., Austrian Traded and Facc AG go up and down completely randomly.
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Pair Corralation between Austrian Traded and Facc AG

Assuming the 90 days trading horizon Austrian Traded Index is expected to generate 0.36 times more return on investment than Facc AG. However, Austrian Traded Index is 2.77 times less risky than Facc AG. It trades about 0.02 of its potential returns per unit of risk. Facc AG is currently generating about -0.05 per unit of risk. If you would invest  360,279  in Austrian Traded Index on September 13, 2024 and sell it today you would earn a total of  2,400  from holding Austrian Traded Index or generate 0.67% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Austrian Traded Index  vs.  Facc AG

 Performance 
       Timeline  

Austrian Traded and Facc AG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Austrian Traded and Facc AG

The main advantage of trading using opposite Austrian Traded and Facc AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Austrian Traded position performs unexpectedly, Facc AG 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 Facc AG will offset losses from the drop in Facc AG's long position.
The idea behind Austrian Traded Index and Facc AG 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

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