Correlation Between WK Kellogg and NYSE Composite
Can any of the company-specific risk be diversified away by investing in both WK Kellogg and NYSE Composite 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 WK Kellogg and NYSE Composite into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WK Kellogg Co and NYSE Composite, you can compare the effects of market volatilities on WK Kellogg and NYSE Composite 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 WK Kellogg with a short position of NYSE Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of WK Kellogg and NYSE Composite.
Diversification Opportunities for WK Kellogg and NYSE Composite
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between KLG and NYSE is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding WK Kellogg Co and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and WK 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 WK Kellogg Co are associated (or correlated) with NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of WK Kellogg i.e., WK Kellogg and NYSE Composite go up and down completely randomly.
Pair Corralation between WK Kellogg and NYSE Composite
Considering the 90-day investment horizon WK Kellogg Co is expected to generate 3.99 times more return on investment than NYSE Composite. However, WK Kellogg is 3.99 times more volatile than NYSE Composite. It trades about 0.05 of its potential returns per unit of risk. NYSE Composite is currently generating about 0.05 per unit of risk. If you would invest 1,777 in WK Kellogg Co on December 20, 2024 and sell it today you would earn a total of 111.00 from holding WK Kellogg Co or generate 6.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
WK Kellogg Co vs. NYSE Composite
Performance |
Timeline |
WK Kellogg and NYSE Composite Volatility Contrast
Predicted Return Density |
Returns |
WK Kellogg Co
Pair trading matchups for WK Kellogg
NYSE Composite
Pair trading matchups for NYSE Composite
Pair Trading with WK Kellogg and NYSE Composite
The main advantage of trading using opposite WK Kellogg and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WK Kellogg position performs unexpectedly, NYSE Composite 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 NYSE Composite will offset losses from the drop in NYSE Composite's long position.WK Kellogg vs. GMxico Transportes SAB | WK Kellogg vs. FMC Corporation | WK Kellogg vs. Titan International | WK Kellogg vs. Tyson Foods |
NYSE Composite vs. Lipocine | NYSE Composite vs. Regeneron Pharmaceuticals | NYSE Composite vs. Vacasa Inc | NYSE Composite vs. Genfit |
Check out your portfolio center.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 Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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