Correlation Between Datawalk and Mlk Foods

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

By analyzing existing cross correlation between Datawalk SA and Mlk Foods Public, you can compare the effects of market volatilities on Datawalk and Mlk Foods 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 Datawalk with a short position of Mlk Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datawalk and Mlk Foods.

Diversification Opportunities for Datawalk and Mlk Foods

-0.79

Correlation Coefficient

Datawalk  Mlk Foods

Pay attention - limited upside

The 3 months correlation between Datawalk and Mlk is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Datawalk SA and Mlk Foods Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mlk Foods Public and Datawalk 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 Datawalk SA are associated (or correlated) with Mlk Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mlk Foods Public has no effect on the direction of Datawalk i.e., Datawalk and Mlk Foods go up and down completely randomly.

Pair Corralation between Datawalk and Mlk Foods

Assuming the 90 days trading horizon Datawalk SA is expected to generate 0.81 times more return on investment than Mlk Foods. However, Datawalk SA is 1.24 times less risky than Mlk Foods. It trades about 0.16 of its potential returns per unit of risk. Mlk Foods Public is currently generating about 0.0 per unit of risk. If you would invest  8,320  in Datawalk SA on April 24, 2025 and sell it today you would earn a total of  3,280  from holding Datawalk SA or generate 39.42% return on investment over 90 days.

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

Datawalk SA  vs.  Mlk Foods Public

Datawalk SA

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Datawalk SA are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak basic indicators, Datawalk reported solid returns over the last few months and may actually be approaching a breakup point.

Mlk Foods Public

Risk-Adjusted Performance

Very Weak

Over the last 90 days Mlk Foods Public has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Mlk Foods 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 Datawalk and Mlk Foods

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

The idea behind Datawalk SA and Mlk Foods Public 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.