Correlation Between WIG 30 and Clean Carbon

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

Diversification Opportunities for WIG 30 and Clean Carbon

0.45
  Correlation Coefficient

Very weak diversification

The 3 months correlation between WIG and Clean is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding WIG 30 and Clean Carbon Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Carbon Energy 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 Clean Carbon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Carbon Energy has no effect on the direction of WIG 30 i.e., WIG 30 and Clean Carbon go up and down completely randomly.
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Pair Corralation between WIG 30 and Clean Carbon

Assuming the 90 days trading horizon WIG 30 is expected to generate 1.66 times less return on investment than Clean Carbon. But when comparing it to its historical volatility, WIG 30 is 5.46 times less risky than Clean Carbon. It trades about 0.28 of its potential returns per unit of risk. Clean Carbon Energy is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  25.00  in Clean Carbon Energy on December 30, 2024 and sell it today you would earn a total of  6.00  from holding Clean Carbon Energy or generate 24.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

WIG 30  vs.  Clean Carbon Energy

 Performance 
       Timeline  

WIG 30 and Clean Carbon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with WIG 30 and Clean Carbon

The main advantage of trading using opposite WIG 30 and Clean Carbon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WIG 30 position performs unexpectedly, Clean Carbon 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 Clean Carbon will offset losses from the drop in Clean Carbon's long position.
The idea behind WIG 30 and Clean Carbon Energy 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

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