Correlation Between Ambari Brands and Caseys General
Can any of the company-specific risk be diversified away by investing in both Ambari Brands and Caseys General 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 Ambari Brands and Caseys General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ambari Brands and Caseys General Stores, you can compare the effects of market volatilities on Ambari Brands and Caseys General 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 Ambari Brands with a short position of Caseys General. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ambari Brands and Caseys General.
Diversification Opportunities for Ambari Brands and Caseys General
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ambari and Caseys is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Ambari Brands and Caseys General Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Caseys General Stores and Ambari Brands 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 Ambari Brands are associated (or correlated) with Caseys General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Caseys General Stores has no effect on the direction of Ambari Brands i.e., Ambari Brands and Caseys General go up and down completely randomly.
Pair Corralation between Ambari Brands and Caseys General
Assuming the 90 days horizon Ambari Brands is expected to generate 17.27 times more return on investment than Caseys General. However, Ambari Brands is 17.27 times more volatile than Caseys General Stores. It trades about 0.07 of its potential returns per unit of risk. Caseys General Stores is currently generating about 0.08 per unit of risk. If you would invest 15.00 in Ambari Brands on October 5, 2024 and sell it today you would lose (7.50) from holding Ambari Brands or give up 50.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 90.89% |
Values | Daily Returns |
Ambari Brands vs. Caseys General Stores
Performance |
Timeline |
Ambari Brands |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Caseys General Stores |
Ambari Brands and Caseys General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ambari Brands and Caseys General
The main advantage of trading using opposite Ambari Brands and Caseys General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ambari Brands position performs unexpectedly, Caseys General 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 Caseys General will offset losses from the drop in Caseys General's long position.Ambari Brands vs. Scandinavian Tobacco Group | Ambari Brands vs. JD Sports Fashion | Ambari Brands vs. Sphere Entertainment Co | Ambari Brands vs. Willamette Valley Vineyards |
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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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