Correlation Between Sidma SA and Athens General

Can any of the company-specific risk be diversified away by investing in both Sidma SA and Athens General 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 Sidma SA and Athens General into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Sidma SA Steel and Athens General Composite, you can compare the effects of market volatilities on Sidma SA and Athens General 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 Sidma SA with a short position of Athens General. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sidma SA and Athens General.

Diversification Opportunities for Sidma SA and Athens General

0.07

Correlation Coefficient

Sidma SA  Athens General

Significant diversification

The 3 months correlation between Sidma and Athens is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Sidma SA Steel and Athens General Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Athens General Composite and Sidma SA 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 Sidma SA Steel are associated (or correlated) with Athens General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Athens General Composite has no effect on the direction of Sidma SA i.e., Sidma SA and Athens General go up and down completely randomly.

Pair Corralation between Sidma SA and Athens General

Assuming the 90 days trading horizon Sidma SA Steel is expected to under-perform the Athens General. In addition to that, Sidma SA is 1.91 times more volatile than Athens General Composite. It trades about -0.01 of its total potential returns per unit of risk. Athens General Composite is currently generating about 0.28 per unit of volatility. If you would invest  142,433  in Athens General Composite on December 1, 2024 and sell it today you would earn a total of  18,346  from holding Athens General Composite or generate 12.88% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Sidma SA Steel  vs.  Athens General Composite

Pair Trading with Sidma SA and Athens General

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

The idea behind Sidma SA Steel and Athens General Composite 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.