Correlation Between E Mart and Seoul Food

Can any of the company-specific risk be diversified away by investing in both E Mart and Seoul Food 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 E Mart and Seoul Food into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between E Mart and Seoul Food Industrial, you can compare the effects of market volatilities on E Mart and Seoul Food 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 E Mart with a short position of Seoul Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of E Mart and Seoul Food.

Diversification Opportunities for E Mart and Seoul Food

-0.39

Correlation Coefficient

E Mart  Seoul Food

Very good diversification

The 3 months correlation between 139480 and Seoul is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding E Mart and Seoul Food Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Food Industrial and E Mart 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 E Mart are associated (or correlated) with Seoul Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Food Industrial has no effect on the direction of E Mart i.e., E Mart and Seoul Food go up and down completely randomly.

Pair Corralation between E Mart and Seoul Food

Assuming the 90 days trading horizon E Mart is expected to generate 2.0 times more return on investment than Seoul Food. However, E Mart is 2.0 times more volatile than Seoul Food Industrial. It trades about 0.07 of its potential returns per unit of risk. Seoul Food Industrial is currently generating about -0.12 per unit of risk. If you would invest  5,770,000  in E Mart on September 29, 2024 and sell it today you would earn a total of  1,040,000  from holding E Mart or generate 18.02% return on investment over 90 days.

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

E Mart  vs.  Seoul Food Industrial

E Mart

Risk-Adjusted Performance

7 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in E Mart are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, E Mart sustained solid returns over the last few months and may actually be approaching a breakup point.

Seoul Food Industrial

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Seoul Food Industrial has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Pair Trading with E Mart and Seoul Food

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

The idea behind E Mart and Seoul Food Industrial 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.