Correlation Between Village Super and Cheetah Net
Can any of the company-specific risk be diversified away by investing in both Village Super and Cheetah Net 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 Village Super and Cheetah Net into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Village Super Market and Cheetah Net Supply, you can compare the effects of market volatilities on Village Super and Cheetah Net 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 Village Super with a short position of Cheetah Net. Check out your portfolio center. Please also check ongoing floating volatility patterns of Village Super and Cheetah Net.
Diversification Opportunities for Village Super and Cheetah Net
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Village and Cheetah is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Village Super Market and Cheetah Net Supply in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cheetah Net Supply and Village Super 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 Village Super Market are associated (or correlated) with Cheetah Net. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cheetah Net Supply has no effect on the direction of Village Super i.e., Village Super and Cheetah Net go up and down completely randomly.
Pair Corralation between Village Super and Cheetah Net
Assuming the 90 days horizon Village Super is expected to generate 7.09 times less return on investment than Cheetah Net. But when comparing it to its historical volatility, Village Super Market is 8.98 times less risky than Cheetah Net. It trades about 0.06 of its potential returns per unit of risk. Cheetah Net Supply is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 346.00 in Cheetah Net Supply on October 12, 2024 and sell it today you would lose (58.00) from holding Cheetah Net Supply or give up 16.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Village Super Market vs. Cheetah Net Supply
Performance |
Timeline |
Village Super Market |
Cheetah Net Supply |
Village Super and Cheetah Net Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Village Super and Cheetah Net
The main advantage of trading using opposite Village Super and Cheetah Net positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Village Super position performs unexpectedly, Cheetah Net 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 Cheetah Net will offset losses from the drop in Cheetah Net's long position.Village Super vs. Ingles Markets Incorporated | Village Super vs. Natural Grocers by | Village Super vs. Grocery Outlet Holding | Village Super vs. Weis Markets |
Cheetah Net vs. Hawkins | Cheetah Net vs. WK Kellogg Co | Cheetah Net vs. American Vanguard | Cheetah Net vs. Village Super Market |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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