Correlation Between Kellanova and Stagwell

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

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

Diversification Opportunities for Kellanova and Stagwell

-0.34

Correlation Coefficient

Kellanova  Stagwell

Very good diversification

The 3 months correlation between Kellanova and Stagwell is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Kellanova and Stagwell in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stagwell and Kellanova 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 Kellanova are associated (or correlated) with Stagwell. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stagwell has no effect on the direction of Kellanova i.e., Kellanova and Stagwell go up and down completely randomly.

Pair Corralation between Kellanova and Stagwell

Taking into account the 90-day investment horizon Kellanova is expected to generate 0.1 times more return on investment than Stagwell. However, Kellanova is 10.23 times less risky than Stagwell. It trades about 0.26 of its potential returns per unit of risk. Stagwell is currently generating about -0.02 per unit of risk. If you would invest  8,082  in Kellanova on October 25, 2024 and sell it today you would earn a total of  82.00  from holding Kellanova or generate 1.01% return on investment over 90 days.

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

Kellanova  vs.  Stagwell

Kellanova

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Kellanova are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite quite persistent forward-looking signals, Kellanova is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Stagwell

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Stagwell are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of fairly abnormal technical and fundamental indicators, Stagwell may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with Kellanova and Stagwell

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

The idea behind Kellanova and Stagwell 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.