Correlation Between China Securities and OMX Helsinki

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

By analyzing existing cross correlation between China Securities 800 and OMX Helsinki 25, you can compare the effects of market volatilities on China Securities and OMX Helsinki 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 China Securities with a short position of OMX Helsinki. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and OMX Helsinki.

Diversification Opportunities for China Securities and OMX Helsinki

-0.05

Correlation Coefficient

China Securities  OMX Helsinki

Good diversification

The 3 months correlation between China and OMX is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and OMX Helsinki 25 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OMX Helsinki 25 and China Securities 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 China Securities 800 are associated (or correlated) with OMX Helsinki. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OMX Helsinki 25 has no effect on the direction of China Securities i.e., China Securities and OMX Helsinki go up and down completely randomly.

Pair Corralation between China Securities and OMX Helsinki

Assuming the 90 days trading horizon China Securities is expected to generate 1.11 times less return on investment than OMX Helsinki. In addition to that, China Securities is 1.1 times more volatile than OMX Helsinki 25. It trades about 0.28 of its total potential returns per unit of risk. OMX Helsinki 25 is currently generating about 0.34 per unit of volatility. If you would invest  450,540  in OMX Helsinki 25 on November 27, 2024 and sell it today you would earn a total of  27,273  from holding OMX Helsinki 25 or generate 6.05% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	72.73%
Values	Daily Returns

China Securities 800  vs.  OMX Helsinki 25

Pair Trading with China Securities and OMX Helsinki

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

The idea behind China Securities 800 and OMX Helsinki 25 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.