Correlation Between Kellogg and SCIENCE IN

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

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

Diversification Opportunities for Kellogg and SCIENCE IN

-0.72

Correlation Coefficient

Kellogg  SCIENCE IN

Pay attention - limited upside

The 3 months correlation between Kellogg and SCIENCE is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Kellogg Company and SCIENCE IN SPORT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCIENCE IN SPORT and Kellogg 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 Kellogg Company are associated (or correlated) with SCIENCE IN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCIENCE IN SPORT has no effect on the direction of Kellogg i.e., Kellogg and SCIENCE IN go up and down completely randomly.

Pair Corralation between Kellogg and SCIENCE IN

Assuming the 90 days horizon Kellogg Company is expected to under-perform the SCIENCE IN. But the stock apears to be less risky and, when comparing its historical volatility, Kellogg Company is 3.71 times less risky than SCIENCE IN. The stock trades about -0.1 of its potential returns per unit of risk. The SCIENCE IN SPORT is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest  30.00  in SCIENCE IN SPORT on April 16, 2025 and sell it today you would earn a total of  7.00  from holding SCIENCE IN SPORT or generate 23.33% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	68.85%
Values	Daily Returns

Kellogg Company  vs.  SCIENCE IN SPORT

Kellogg Company

Risk-Adjusted Performance

Very Weak

Over the last 90 days Kellogg Company has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Kellogg is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

SCIENCE IN SPORT

Risk-Adjusted Performance

Good

Over the last 90 days SCIENCE IN SPORT has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly fragile basic indicators, SCIENCE IN reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Kellogg and SCIENCE IN

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

The idea behind Kellogg Company and SCIENCE IN SPORT 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.