Correlation Between Intersport Polska and WSE WIG

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

Diversification Opportunities for Intersport Polska and WSE WIG

0.01
  Correlation Coefficient

Significant diversification

The 3 months correlation between Intersport and WSE is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Intersport Polska SA and WSE WIG INDEX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WSE WIG INDEX and Intersport Polska 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 Intersport Polska SA are associated (or correlated) with WSE WIG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WSE WIG INDEX has no effect on the direction of Intersport Polska i.e., Intersport Polska and WSE WIG go up and down completely randomly.
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Pair Corralation between Intersport Polska and WSE WIG

Assuming the 90 days trading horizon Intersport Polska SA is expected to generate 3.68 times more return on investment than WSE WIG. However, Intersport Polska is 3.68 times more volatile than WSE WIG INDEX. It trades about 0.01 of its potential returns per unit of risk. WSE WIG INDEX is currently generating about 0.0 per unit of risk. If you would invest  81.00  in Intersport Polska SA on September 1, 2024 and sell it today you would lose (8.00) from holding Intersport Polska SA or give up 9.88% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Intersport Polska SA  vs.  WSE WIG INDEX

 Performance 
       Timeline  

Intersport Polska and WSE WIG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Intersport Polska and WSE WIG

The main advantage of trading using opposite Intersport Polska and WSE WIG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intersport Polska position performs unexpectedly, WSE WIG 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 WSE WIG will offset losses from the drop in WSE WIG's long position.
The idea behind Intersport Polska SA and WSE WIG INDEX 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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