Correlation Between OMX Stockholm and OMX Helsinki

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Can any of the company-specific risk be diversified away by investing in both OMX Stockholm and OMX Helsinki 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 OMX Helsinki 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 OMX Helsinki 25, you can compare the effects of market volatilities on OMX Stockholm and OMX Helsinki 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 OMX Helsinki. Check out your portfolio center. Please also check ongoing floating volatility patterns of OMX Stockholm and OMX Helsinki.

Diversification Opportunities for OMX Stockholm and OMX Helsinki

0.83
  Correlation Coefficient

Very poor diversification

The 3 months correlation between OMX and OMX is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding OMX Stockholm Mid and OMX Helsinki 25 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OMX Helsinki 25 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 OMX Helsinki. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OMX Helsinki 25 has no effect on the direction of OMX Stockholm i.e., OMX Stockholm and OMX Helsinki go up and down completely randomly.
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Pair Corralation between OMX Stockholm and OMX Helsinki

Assuming the 90 days trading horizon OMX Stockholm Mid is expected to generate 0.93 times more return on investment than OMX Helsinki. However, OMX Stockholm Mid is 1.07 times less risky than OMX Helsinki. It trades about -0.06 of its potential returns per unit of risk. OMX Helsinki 25 is currently generating about -0.15 per unit of risk. If you would invest  169,054  in OMX Stockholm Mid on September 1, 2024 and sell it today you would lose (5,567) from holding OMX Stockholm Mid or give up 3.29% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

OMX Stockholm Mid  vs.  OMX Helsinki 25

 Performance 
       Timeline  

OMX Stockholm and OMX Helsinki Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with OMX Stockholm and OMX Helsinki

The main advantage of trading using opposite OMX Stockholm and OMX Helsinki positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OMX Stockholm position performs unexpectedly, OMX Helsinki 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 OMX Helsinki will offset losses from the drop in OMX Helsinki's long position.
The idea behind OMX Stockholm Mid and OMX Helsinki 25 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.

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