Correlation Between M Food and TEN SQUARE

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

By analyzing existing cross correlation between M Food SA and TEN SQUARE GAMES, you can compare the effects of market volatilities on M Food and TEN SQUARE 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 M Food with a short position of TEN SQUARE. Check out your portfolio center. Please also check ongoing floating volatility patterns of M Food and TEN SQUARE.

Diversification Opportunities for M Food and TEN SQUARE

0.47

Correlation Coefficient

M Food  TEN SQUARE

Very weak diversification

The 3 months correlation between MFD and TEN is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding M Food SA and TEN SQUARE GAMES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TEN SQUARE GAMES and M Food 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 M Food SA are associated (or correlated) with TEN SQUARE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TEN SQUARE GAMES has no effect on the direction of M Food i.e., M Food and TEN SQUARE go up and down completely randomly.

Pair Corralation between M Food and TEN SQUARE

Assuming the 90 days trading horizon M Food SA is expected to under-perform the TEN SQUARE. In addition to that, M Food is 1.94 times more volatile than TEN SQUARE GAMES. It trades about -0.19 of its total potential returns per unit of risk. TEN SQUARE GAMES is currently generating about -0.04 per unit of volatility. If you would invest  8,430  in TEN SQUARE GAMES on October 25, 2024 and sell it today you would lose (560.00) from holding TEN SQUARE GAMES or give up 6.64% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	73.21%
Values	Daily Returns

M Food SA  vs.  TEN SQUARE GAMES

M Food SA

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days M Food SA has generated negative risk-adjusted returns adding no value to investors with long positions. Even with weak performance in the last few months, the Stock's basic indicators remain relatively invariable which may send shares a bit higher in February 2025. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors.

TEN SQUARE GAMES

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days TEN SQUARE GAMES has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, TEN SQUARE is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with M Food and TEN SQUARE

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

The idea behind M Food SA and TEN SQUARE GAMES 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.