Correlation Between OMX Stockholm and FM Mattsson

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

Diversification Opportunities for OMX Stockholm and FM Mattsson

-0.41

Correlation Coefficient

OMX Stockholm  FM Mattsson

Very good diversification

The 3 months correlation between OMX and FMM-B is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding OMX Stockholm Mid and FM Mattsson Mora in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FM Mattsson Mora 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 FM Mattsson. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FM Mattsson Mora has no effect on the direction of OMX Stockholm i.e., OMX Stockholm and FM Mattsson go up and down completely randomly.

Pair Corralation between OMX Stockholm and FM Mattsson

Assuming the 90 days trading horizon OMX Stockholm Mid is expected to under-perform the FM Mattsson. But the index apears to be less risky and, when comparing its historical volatility, OMX Stockholm Mid is 2.65 times less risky than FM Mattsson. The index trades about -0.03 of its potential returns per unit of risk. The FM Mattsson Mora is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  5,255  in FM Mattsson Mora on September 3, 2024 and sell it today you would lose (115.00) from holding FM Mattsson Mora or give up 2.19% of portfolio value over 90 days.

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

OMX Stockholm Mid  vs.  FM Mattsson Mora

Pair Trading with OMX Stockholm and FM Mattsson

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

The idea behind OMX Stockholm Mid and FM Mattsson Mora 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.