Correlation Between Tractor Supply and GOME Retail
Can any of the company-specific risk be diversified away by investing in both Tractor Supply and GOME Retail 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 Tractor Supply and GOME Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tractor Supply and GOME Retail Holdings, you can compare the effects of market volatilities on Tractor Supply and GOME Retail 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 Tractor Supply with a short position of GOME Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tractor Supply and GOME Retail.
Diversification Opportunities for Tractor Supply and GOME Retail
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tractor and GOME is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Tractor Supply and GOME Retail Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOME Retail Holdings and Tractor Supply 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 Tractor Supply are associated (or correlated) with GOME Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOME Retail Holdings has no effect on the direction of Tractor Supply i.e., Tractor Supply and GOME Retail go up and down completely randomly.
Pair Corralation between Tractor Supply and GOME Retail
Assuming the 90 days horizon Tractor Supply is expected to generate 8.6 times less return on investment than GOME Retail. But when comparing it to its historical volatility, Tractor Supply is 5.96 times less risky than GOME Retail. It trades about 0.04 of its potential returns per unit of risk. GOME Retail Holdings is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 0.10 in GOME Retail Holdings on September 23, 2024 and sell it today you would earn a total of 0.00 from holding GOME Retail Holdings or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tractor Supply vs. GOME Retail Holdings
Performance |
Timeline |
Tractor Supply |
GOME Retail Holdings |
Tractor Supply and GOME Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tractor Supply and GOME Retail
The main advantage of trading using opposite Tractor Supply and GOME Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tractor Supply position performs unexpectedly, GOME Retail 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 GOME Retail will offset losses from the drop in GOME Retail's long position.Tractor Supply vs. MercadoLibre | Tractor Supply vs. OReilly Automotive | Tractor Supply vs. AutoZone | Tractor Supply vs. Ulta Beauty |
GOME Retail vs. MercadoLibre | GOME Retail vs. OReilly Automotive | GOME Retail vs. AutoZone | GOME Retail vs. Tractor Supply |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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