Correlation Between OMX Stockholm and Kakel Max

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

Diversification Opportunities for OMX Stockholm and Kakel Max

0.53
  Correlation Coefficient

Very weak diversification

The 3 months correlation between OMX and Kakel is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding OMX Stockholm Mid and Kakel Max AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kakel Max AB 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 Kakel Max. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kakel Max AB has no effect on the direction of OMX Stockholm i.e., OMX Stockholm and Kakel Max go up and down completely randomly.
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Pair Corralation between OMX Stockholm and Kakel Max

Assuming the 90 days trading horizon OMX Stockholm is expected to generate 3.39 times less return on investment than Kakel Max. But when comparing it to its historical volatility, OMX Stockholm Mid is 2.98 times less risky than Kakel Max. It trades about 0.04 of its potential returns per unit of risk. Kakel Max AB is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  1,000.00  in Kakel Max AB on September 13, 2024 and sell it today you would earn a total of  20.00  from holding Kakel Max AB or generate 2.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.65%
ValuesDaily Returns

OMX Stockholm Mid  vs.  Kakel Max AB

 Performance 
       Timeline  

OMX Stockholm and Kakel Max Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with OMX Stockholm and Kakel Max

The main advantage of trading using opposite OMX Stockholm and Kakel Max positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OMX Stockholm position performs unexpectedly, Kakel Max 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 Kakel Max will offset losses from the drop in Kakel Max's long position.
The idea behind OMX Stockholm Mid and Kakel Max AB 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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