Correlation Between WK Kellogg and Foremost Lithium
Can any of the company-specific risk be diversified away by investing in both WK Kellogg and Foremost Lithium 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 Foremost Lithium 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 Foremost Lithium Resource, you can compare the effects of market volatilities on WK Kellogg and Foremost Lithium 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 Foremost Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of WK Kellogg and Foremost Lithium.
Diversification Opportunities for WK Kellogg and Foremost Lithium
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between KLG and Foremost is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding WK Kellogg Co and Foremost Lithium Resource in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Foremost Lithium Resource 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 Foremost Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Foremost Lithium Resource has no effect on the direction of WK Kellogg i.e., WK Kellogg and Foremost Lithium go up and down completely randomly.
Pair Corralation between WK Kellogg and Foremost Lithium
Considering the 90-day investment horizon WK Kellogg Co is expected to generate 0.43 times more return on investment than Foremost Lithium. However, WK Kellogg Co is 2.32 times less risky than Foremost Lithium. It trades about 0.05 of its potential returns per unit of risk. Foremost Lithium Resource is currently generating about -0.05 per unit of risk. If you would invest 1,535 in WK Kellogg Co on October 10, 2024 and sell it today you would earn a total of 215.00 from holding WK Kellogg Co or generate 14.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.2% |
Values | Daily Returns |
WK Kellogg Co vs. Foremost Lithium Resource
Performance |
Timeline |
WK Kellogg |
Foremost Lithium Resource |
WK Kellogg and Foremost Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WK Kellogg and Foremost Lithium
The main advantage of trading using opposite WK Kellogg and Foremost Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WK Kellogg position performs unexpectedly, Foremost Lithium 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 Foremost Lithium will offset losses from the drop in Foremost Lithium's long position.WK Kellogg vs. FitLife Brands, Common | WK Kellogg vs. Kellanova | WK Kellogg vs. Ingredion Incorporated | WK Kellogg vs. United Natural Foods |
Foremost Lithium vs. Teleflex Incorporated | Foremost Lithium vs. Spyre Therapeutics | Foremost Lithium vs. Acumen Pharmaceuticals | Foremost Lithium 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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