Correlation Between OMX Stockholm and PX Prague

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

Diversification Opportunities for OMX Stockholm and PX Prague

-0.71

Correlation Coefficient

OMX Stockholm  PX Prague

Pay attention - limited upside

The 3 months correlation between OMX and PX Prague is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding OMX Stockholm Mid and PX Prague Stock in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PX Prague Stock 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 PX Prague. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PX Prague Stock has no effect on the direction of OMX Stockholm i.e., OMX Stockholm and PX Prague go up and down completely randomly.

Pair Corralation between OMX Stockholm and PX Prague

Assuming the 90 days trading horizon OMX Stockholm Mid is expected to under-perform the PX Prague. In addition to that, OMX Stockholm is 1.6 times more volatile than PX Prague Stock. It trades about -0.1 of its total potential returns per unit of risk. PX Prague Stock is currently generating about 0.17 per unit of volatility. If you would invest  159,452  in PX Prague Stock on August 30, 2024 and sell it today you would earn a total of  8,495  from holding PX Prague Stock or generate 5.33% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	98.44%
Values	Daily Returns

OMX Stockholm Mid  vs.  PX Prague Stock

Pair Trading with OMX Stockholm and PX Prague

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

The idea behind OMX Stockholm Mid and PX Prague Stock 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.