Correlation Between Food Life and Ming Le

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

By analyzing existing cross correlation between Food Life Companies and Ming Le Sports, you can compare the effects of market volatilities on Food Life and Ming Le 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 Food Life with a short position of Ming Le. Check out your portfolio center. Please also check ongoing floating volatility patterns of Food Life and Ming Le.

Diversification Opportunities for Food Life and Ming Le

0.7

Correlation Coefficient

Food Life  Ming Le

Poor diversification

The 3 months correlation between Food and Ming is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Food Life Companies and Ming Le Sports in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ming Le Sports and Food Life 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 Food Life Companies are associated (or correlated) with Ming Le. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ming Le Sports has no effect on the direction of Food Life i.e., Food Life and Ming Le go up and down completely randomly.

Pair Corralation between Food Life and Ming Le

Assuming the 90 days horizon Food Life is expected to generate 1.48 times less return on investment than Ming Le. But when comparing it to its historical volatility, Food Life Companies is 4.32 times less risky than Ming Le. It trades about 0.39 of its potential returns per unit of risk. Ming Le Sports is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest  100.00  in Ming Le Sports on September 13, 2024 and sell it today you would earn a total of  19.00  from holding Ming Le Sports or generate 19.0% return on investment over 90 days.

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

Food Life Companies  vs.  Ming Le Sports

Food Life Companies

Risk-Adjusted Performance

22 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Food Life Companies are ranked lower than 22 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Food Life reported solid returns over the last few months and may actually be approaching a breakup point.

Ming Le Sports

Risk-Adjusted Performance

5 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Ming Le Sports are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Ming Le unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Food Life and Ming Le

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

The idea behind Food Life Companies and Ming Le Sports 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.