Correlation Between Budapest and OMX Stockholm

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

Diversification Opportunities for Budapest and OMX Stockholm

-0.72
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Budapest and OMX is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Budapest SE and OMX Stockholm Mid in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OMX Stockholm Mid and Budapest 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 Budapest SE are associated (or correlated) with OMX Stockholm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OMX Stockholm Mid has no effect on the direction of Budapest i.e., Budapest and OMX Stockholm go up and down completely randomly.
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Pair Corralation between Budapest and OMX Stockholm

Assuming the 90 days trading horizon Budapest SE is expected to generate 0.87 times more return on investment than OMX Stockholm. However, Budapest SE is 1.15 times less risky than OMX Stockholm. It trades about 0.12 of its potential returns per unit of risk. OMX Stockholm Mid is currently generating about -0.02 per unit of risk. If you would invest  6,945,884  in Budapest SE on September 1, 2024 and sell it today you would earn a total of  847,737  from holding Budapest SE or generate 12.2% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy96.92%
ValuesDaily Returns

Budapest SE  vs.  OMX Stockholm Mid

 Performance 
       Timeline  

Budapest and OMX Stockholm Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Budapest and OMX Stockholm

The main advantage of trading using opposite Budapest and OMX Stockholm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Budapest position performs unexpectedly, OMX Stockholm 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 Stockholm will offset losses from the drop in OMX Stockholm's long position.
The idea behind Budapest SE and OMX Stockholm Mid 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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