Correlation Between OMX Stockholm and ITAB Shop

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

Diversification Opportunities for OMX Stockholm and ITAB Shop

-0.35
  Correlation Coefficient

Very good diversification

The 3 months correlation between OMX and ITAB is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding OMX Stockholm Mid and ITAB Shop Concept in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ITAB Shop Concept and OMX Stockholm 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 OMX Stockholm Mid are associated (or correlated) with ITAB Shop. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ITAB Shop Concept has no effect on the direction of OMX Stockholm i.e., OMX Stockholm and ITAB Shop go up and down completely randomly.
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Pair Corralation between OMX Stockholm and ITAB Shop

Assuming the 90 days trading horizon OMX Stockholm Mid is expected to generate 0.28 times more return on investment than ITAB Shop. However, OMX Stockholm Mid is 3.58 times less risky than ITAB Shop. It trades about -0.15 of its potential returns per unit of risk. ITAB Shop Concept is currently generating about -0.26 per unit of risk. If you would invest  165,922  in OMX Stockholm Mid on August 25, 2024 and sell it today you would lose (4,207) from holding OMX Stockholm Mid or give up 2.54% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

OMX Stockholm Mid  vs.  ITAB Shop Concept

 Performance 
       Timeline  

OMX Stockholm and ITAB Shop Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with OMX Stockholm and ITAB Shop

The main advantage of trading using opposite OMX Stockholm and ITAB Shop positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OMX Stockholm position performs unexpectedly, ITAB Shop 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 ITAB Shop will offset losses from the drop in ITAB Shop's long position.
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The idea behind OMX Stockholm Mid and ITAB Shop Concept 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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