Correlation Between Stagwell and Kellanova

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

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

Diversification Opportunities for Stagwell and Kellanova

0.06

Correlation Coefficient

Stagwell  Kellanova

Significant diversification

The 3 months correlation between Stagwell and Kellanova is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Stagwell and Kellanova in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kellanova and Stagwell 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 Stagwell are associated (or correlated) with Kellanova. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kellanova has no effect on the direction of Stagwell i.e., Stagwell and Kellanova go up and down completely randomly.

Pair Corralation between Stagwell and Kellanova

Given the investment horizon of 90 days Stagwell is expected to under-perform the Kellanova. In addition to that, Stagwell is 6.92 times more volatile than Kellanova. It trades about -0.72 of its total potential returns per unit of risk. Kellanova is currently generating about 0.26 per unit of volatility. If you would invest  8,058  in Kellanova on October 10, 2024 and sell it today you would earn a total of  77.00  from holding Kellanova or generate 0.96% return on investment over 90 days.

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

Stagwell  vs.  Kellanova

Stagwell

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Stagwell has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest abnormal performance, the Stock's technical and fundamental indicators remain stable and the latest fuss on Wall Street may also be a sign of long-term gains for the venture sophisticated investors.

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.

Pair Trading with Stagwell and Kellanova

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

The idea behind Stagwell and Kellanova 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.