Correlation Between MCX ICOMDEX and OMX Stockholm

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

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

Diversification Opportunities for MCX ICOMDEX and OMX Stockholm

-0.45

Correlation Coefficient

MCX ICOMDEX  OMX Stockholm

Very good diversification

The 3 months correlation between MCX and OMX is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding MCX ICOMDEX ALUMINIUM 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 MCX ICOMDEX 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 MCX ICOMDEX ALUMINIUM 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 MCX ICOMDEX i.e., MCX ICOMDEX and OMX Stockholm go up and down completely randomly.

Pair Corralation between MCX ICOMDEX and OMX Stockholm

Assuming the 90 days trading horizon MCX ICOMDEX ALUMINIUM is expected to under-perform the OMX Stockholm. But the index apears to be less risky and, when comparing its historical volatility, MCX ICOMDEX ALUMINIUM is 1.77 times less risky than OMX Stockholm. The index trades about -0.7 of its potential returns per unit of risk. The OMX Stockholm Mid is currently generating about -0.19 of returns per unit of risk over similar time horizon. If you would invest  167,694  in OMX Stockholm Mid on August 30, 2024 and sell it today you would lose (5,697) from holding OMX Stockholm Mid or give up 3.4% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	18.18%
Values	Daily Returns

MCX ICOMDEX ALUMINIUM  vs.  OMX Stockholm Mid

Pair Trading with MCX ICOMDEX and OMX Stockholm

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