Correlation Between WK Kellogg and SM Investments
Can any of the company-specific risk be diversified away by investing in both WK Kellogg and SM Investments 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 SM Investments 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 SM Investments, you can compare the effects of market volatilities on WK Kellogg and SM Investments 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 SM Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of WK Kellogg and SM Investments.
Diversification Opportunities for WK Kellogg and SM Investments
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between KLG and SVTMF is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding WK Kellogg Co and SM Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SM Investments 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 SM Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SM Investments has no effect on the direction of WK Kellogg i.e., WK Kellogg and SM Investments go up and down completely randomly.
Pair Corralation between WK Kellogg and SM Investments
Considering the 90-day investment horizon WK Kellogg Co is expected to under-perform the SM Investments. In addition to that, WK Kellogg is 1.18 times more volatile than SM Investments. It trades about -0.32 of its total potential returns per unit of risk. SM Investments is currently generating about 0.07 per unit of volatility. If you would invest 1,600 in SM Investments on October 10, 2024 and sell it today you would earn a total of 40.00 from holding SM Investments or generate 2.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
WK Kellogg Co vs. SM Investments
Performance |
Timeline |
WK Kellogg |
SM Investments |
WK Kellogg and SM Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WK Kellogg and SM Investments
The main advantage of trading using opposite WK Kellogg and SM Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WK Kellogg position performs unexpectedly, SM Investments 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 SM Investments will offset losses from the drop in SM Investments' long position.WK Kellogg vs. FitLife Brands, Common | WK Kellogg vs. Kellanova | WK Kellogg vs. Ingredion Incorporated | WK Kellogg vs. United Natural Foods |
SM Investments vs. Summit Environmental | SM Investments vs. Willscot Mobile Mini | SM Investments vs. McGrath RentCorp | SM Investments vs. CECO Environmental Corp |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |