Correlation Between WIG 30 and Coreshares Index

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Can any of the company-specific risk be diversified away by investing in both WIG 30 and Coreshares Index 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 WIG 30 and Coreshares Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WIG 30 and Coreshares Index Tracker, you can compare the effects of market volatilities on WIG 30 and Coreshares Index 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 WIG 30 with a short position of Coreshares Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of WIG 30 and Coreshares Index.

Diversification Opportunities for WIG 30 and Coreshares Index

-0.24
  Correlation Coefficient

Very good diversification

The 3 months correlation between WIG and Coreshares is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding WIG 30 and Coreshares Index Tracker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coreshares Index Tracker and WIG 30 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 WIG 30 are associated (or correlated) with Coreshares Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coreshares Index Tracker has no effect on the direction of WIG 30 i.e., WIG 30 and Coreshares Index go up and down completely randomly.
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Pair Corralation between WIG 30 and Coreshares Index

Assuming the 90 days trading horizon WIG 30 is expected to under-perform the Coreshares Index. In addition to that, WIG 30 is 1.33 times more volatile than Coreshares Index Tracker. It trades about -0.06 of its total potential returns per unit of risk. Coreshares Index Tracker is currently generating about 0.01 per unit of volatility. If you would invest  107,175  in Coreshares Index Tracker on September 1, 2024 and sell it today you would earn a total of  825.00  from holding Coreshares Index Tracker or generate 0.77% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

WIG 30  vs.  Coreshares Index Tracker

 Performance 
       Timeline  

WIG 30 and Coreshares Index Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with WIG 30 and Coreshares Index

The main advantage of trading using opposite WIG 30 and Coreshares Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WIG 30 position performs unexpectedly, Coreshares Index 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 Coreshares Index will offset losses from the drop in Coreshares Index's long position.
The idea behind WIG 30 and Coreshares Index Tracker 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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