Correlation Between Boston Beer and MACYS
Specify exactly 2 symbols:
By analyzing existing cross correlation between Boston Beer and MACYS RETAIL HLDGS, you can compare the effects of market volatilities on Boston Beer and MACYS 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 Boston Beer with a short position of MACYS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boston Beer and MACYS.
Diversification Opportunities for Boston Beer and MACYS
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Boston and MACYS is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Boston Beer and MACYS RETAIL HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MACYS RETAIL HLDGS and Boston Beer 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 Boston Beer are associated (or correlated) with MACYS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MACYS RETAIL HLDGS has no effect on the direction of Boston Beer i.e., Boston Beer and MACYS go up and down completely randomly.
Pair Corralation between Boston Beer and MACYS
Considering the 90-day investment horizon Boston Beer is expected to under-perform the MACYS. In addition to that, Boston Beer is 1.77 times more volatile than MACYS RETAIL HLDGS. It trades about -0.1 of its total potential returns per unit of risk. MACYS RETAIL HLDGS is currently generating about -0.18 per unit of volatility. If you would invest 7,013 in MACYS RETAIL HLDGS on September 27, 2024 and sell it today you would lose (188.00) from holding MACYS RETAIL HLDGS or give up 2.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 86.36% |
Values | Daily Returns |
Boston Beer vs. MACYS RETAIL HLDGS
Performance |
Timeline |
Boston Beer |
MACYS RETAIL HLDGS |
Boston Beer and MACYS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boston Beer and MACYS
The main advantage of trading using opposite Boston Beer and MACYS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boston Beer position performs unexpectedly, MACYS 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 MACYS will offset losses from the drop in MACYS's long position.Boston Beer vs. Budweiser Brewing | Boston Beer vs. Fomento Economico Mexicano | Boston Beer vs. Heineken NV | Boston Beer vs. Suntory Beverage Food |
MACYS vs. Diageo PLC ADR | MACYS vs. Boston Beer | MACYS vs. Willamette Valley Vineyards | MACYS vs. Franklin Street Properties |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |