Correlation Between OMX Copenhagen and OMX Stockholm

Can any of the company-specific risk be diversified away by investing in both OMX Copenhagen 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 OMX Copenhagen and OMX Stockholm into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between OMX Copenhagen All and OMX Stockholm Mid, you can compare the effects of market volatilities on OMX Copenhagen 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 OMX Copenhagen with a short position of OMX Stockholm. Check out your portfolio center. Please also check ongoing floating volatility patterns of OMX Copenhagen and OMX Stockholm.

Diversification Opportunities for OMX Copenhagen and OMX Stockholm

-0.41

Correlation Coefficient

OMX Copenhagen  OMX Stockholm

Very good diversification

The 3 months correlation between OMX and OMX is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding OMX Copenhagen All 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 OMX Copenhagen 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 Copenhagen All 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 OMX Copenhagen i.e., OMX Copenhagen and OMX Stockholm go up and down completely randomly.

Pair Corralation between OMX Copenhagen and OMX Stockholm

Assuming the 90 days trading horizon OMX Copenhagen All is expected to under-perform the OMX Stockholm. In addition to that, OMX Copenhagen is 2.5 times more volatile than OMX Stockholm Mid. It trades about -0.05 of its total potential returns per unit of risk. OMX Stockholm Mid is currently generating about 0.15 per unit of volatility. If you would invest  161,997  in OMX Stockholm Mid on November 27, 2024 and sell it today you would earn a total of  10,644  from holding OMX Stockholm Mid or generate 6.57% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

OMX Copenhagen All  vs.  OMX Stockholm Mid

Pair Trading with OMX Copenhagen and OMX Stockholm

The main advantage of trading using opposite OMX Copenhagen and OMX Stockholm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OMX Copenhagen 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 OMX Copenhagen All 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 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.