Correlation Between OMX Stockholm and Volvo Car

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

Diversification Opportunities for OMX Stockholm and Volvo Car

0.04
  Correlation Coefficient

Significant diversification

The 3 months correlation between OMX and Volvo is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding OMX Stockholm Mid and Volvo Car AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Volvo Car 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 Volvo Car. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Volvo Car AB has no effect on the direction of OMX Stockholm i.e., OMX Stockholm and Volvo Car go up and down completely randomly.
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Pair Corralation between OMX Stockholm and Volvo Car

Assuming the 90 days trading horizon OMX Stockholm Mid is expected to generate 0.23 times more return on investment than Volvo Car. However, OMX Stockholm Mid is 4.3 times less risky than Volvo Car. It trades about -0.04 of its potential returns per unit of risk. Volvo Car AB is currently generating about -0.08 per unit of risk. If you would invest  165,467  in OMX Stockholm Mid on December 30, 2024 and sell it today you would lose (4,114) from holding OMX Stockholm Mid or give up 2.49% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

OMX Stockholm Mid  vs.  Volvo Car AB

 Performance 
       Timeline  

OMX Stockholm and Volvo Car Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with OMX Stockholm and Volvo Car

The main advantage of trading using opposite OMX Stockholm and Volvo Car positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OMX Stockholm position performs unexpectedly, Volvo Car 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 Volvo Car will offset losses from the drop in Volvo Car's long position.
The idea behind OMX Stockholm Mid and Volvo Car 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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