Correlation Between OMX Stockholm and SPTSX Dividend

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

Diversification Opportunities for OMX Stockholm and SPTSX Dividend

-0.43

Correlation Coefficient

OMX Stockholm  SPTSX Dividend

Very good diversification

The 3 months correlation between OMX and SPTSX is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding OMX Stockholm Mid and SPTSX Dividend Aristocrats in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPTSX Dividend Arist 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 SPTSX Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPTSX Dividend Arist has no effect on the direction of OMX Stockholm i.e., OMX Stockholm and SPTSX Dividend go up and down completely randomly.

Pair Corralation between OMX Stockholm and SPTSX Dividend

Assuming the 90 days trading horizon OMX Stockholm Mid is expected to generate 1.4 times more return on investment than SPTSX Dividend. However, OMX Stockholm is 1.4 times more volatile than SPTSX Dividend Aristocrats. It trades about 0.2 of its potential returns per unit of risk. SPTSX Dividend Aristocrats is currently generating about -0.11 per unit of risk. If you would invest  159,637  in OMX Stockholm Mid on November 19, 2024 and sell it today you would earn a total of  14,716  from holding OMX Stockholm Mid or generate 9.22% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	95.16%
Values	Daily Returns

OMX Stockholm Mid  vs.  SPTSX Dividend Aristocrats

Pair Trading with OMX Stockholm and SPTSX Dividend

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

The idea behind OMX Stockholm Mid and SPTSX Dividend Aristocrats 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.