Correlation Between Fast Retailing and Fevertree Drinks
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and Fevertree Drinks 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 Fast Retailing and Fevertree Drinks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fast Retailing Co and Fevertree Drinks PLC, you can compare the effects of market volatilities on Fast Retailing and Fevertree Drinks 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 Fast Retailing with a short position of Fevertree Drinks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and Fevertree Drinks.
Diversification Opportunities for Fast Retailing and Fevertree Drinks
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fast and Fevertree is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and Fevertree Drinks PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fevertree Drinks PLC and Fast Retailing 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 Fast Retailing Co are associated (or correlated) with Fevertree Drinks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fevertree Drinks PLC has no effect on the direction of Fast Retailing i.e., Fast Retailing and Fevertree Drinks go up and down completely randomly.
Pair Corralation between Fast Retailing and Fevertree Drinks
Assuming the 90 days trading horizon Fast Retailing Co is expected to generate 0.73 times more return on investment than Fevertree Drinks. However, Fast Retailing Co is 1.37 times less risky than Fevertree Drinks. It trades about 0.07 of its potential returns per unit of risk. Fevertree Drinks PLC is currently generating about -0.02 per unit of risk. If you would invest 18,833 in Fast Retailing Co on September 26, 2024 and sell it today you would earn a total of 13,437 from holding Fast Retailing Co or generate 71.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. Fevertree Drinks PLC
Performance |
Timeline |
Fast Retailing |
Fevertree Drinks PLC |
Fast Retailing and Fevertree Drinks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and Fevertree Drinks
The main advantage of trading using opposite Fast Retailing and Fevertree Drinks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, Fevertree Drinks 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 Fevertree Drinks will offset losses from the drop in Fevertree Drinks' long position.Fast Retailing vs. Apple Inc | Fast Retailing vs. Apple Inc | Fast Retailing vs. Microsoft | Fast Retailing vs. Microsoft |
Fevertree Drinks vs. Apple Inc | Fevertree Drinks vs. Apple Inc | Fevertree Drinks vs. Apple Inc | Fevertree Drinks vs. Apple Inc |
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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