Correlation Between SpartanNash and Genuine Parts
Can any of the company-specific risk be diversified away by investing in both SpartanNash and Genuine Parts 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 SpartanNash and Genuine Parts into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SpartanNash Co and Genuine Parts Co, you can compare the effects of market volatilities on SpartanNash and Genuine Parts 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 SpartanNash with a short position of Genuine Parts. Check out your portfolio center. Please also check ongoing floating volatility patterns of SpartanNash and Genuine Parts.
Diversification Opportunities for SpartanNash and Genuine Parts
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SpartanNash and Genuine is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding SpartanNash Co and Genuine Parts Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Genuine Parts and SpartanNash 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 SpartanNash Co are associated (or correlated) with Genuine Parts. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Genuine Parts has no effect on the direction of SpartanNash i.e., SpartanNash and Genuine Parts go up and down completely randomly.
Pair Corralation between SpartanNash and Genuine Parts
Given the investment horizon of 90 days SpartanNash Co is expected to under-perform the Genuine Parts. But the stock apears to be less risky and, when comparing its historical volatility, SpartanNash Co is 1.38 times less risky than Genuine Parts. The stock trades about -0.04 of its potential returns per unit of risk. The Genuine Parts Co is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 13,512 in Genuine Parts Co on September 12, 2024 and sell it today you would lose (1,170) from holding Genuine Parts Co or give up 8.66% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SpartanNash Co vs. Genuine Parts Co
Performance |
| Timeline |
| SpartanNash |
| Genuine Parts |
SpartanNash and Genuine Parts Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SpartanNash and Genuine Parts
The main advantage of trading using opposite SpartanNash and Genuine Parts positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SpartanNash position performs unexpectedly, Genuine Parts 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 Genuine Parts will offset losses from the drop in Genuine Parts' long position.| SpartanNash vs. Performance Food Group | SpartanNash vs. US Foods Holding | SpartanNash vs. Calavo Growers | SpartanNash vs. The Andersons |
| Genuine Parts vs. Steven Madden | Genuine Parts vs. Vera Bradley | Genuine Parts vs. Caleres | Genuine Parts vs. Wolverine World Wide |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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