Correlation Between Getty Realty and Bowhead Specialty
Can any of the company-specific risk be diversified away by investing in both Getty Realty and Bowhead Specialty 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 Getty Realty and Bowhead Specialty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getty Realty and Bowhead Specialty Holdings, you can compare the effects of market volatilities on Getty Realty and Bowhead Specialty 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 Getty Realty with a short position of Bowhead Specialty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getty Realty and Bowhead Specialty.
Diversification Opportunities for Getty Realty and Bowhead Specialty
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Getty and Bowhead is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Getty Realty and Bowhead Specialty Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bowhead Specialty and Getty Realty 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 Getty Realty are associated (or correlated) with Bowhead Specialty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bowhead Specialty has no effect on the direction of Getty Realty i.e., Getty Realty and Bowhead Specialty go up and down completely randomly.
Pair Corralation between Getty Realty and Bowhead Specialty
Considering the 90-day investment horizon Getty Realty is expected to under-perform the Bowhead Specialty. But the stock apears to be less risky and, when comparing its historical volatility, Getty Realty is 1.65 times less risky than Bowhead Specialty. The stock trades about -0.12 of its potential returns per unit of risk. The Bowhead Specialty Holdings is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 3,283 in Bowhead Specialty Holdings on October 9, 2024 and sell it today you would lose (56.00) from holding Bowhead Specialty Holdings or give up 1.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Getty Realty vs. Bowhead Specialty Holdings
Performance |
Timeline |
Getty Realty |
Bowhead Specialty |
Getty Realty and Bowhead Specialty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getty Realty and Bowhead Specialty
The main advantage of trading using opposite Getty Realty and Bowhead Specialty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getty Realty position performs unexpectedly, Bowhead Specialty 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 Bowhead Specialty will offset losses from the drop in Bowhead Specialty's long position.Getty Realty vs. Regency Centers | Getty Realty vs. Site Centers Corp | Getty Realty vs. Brixmor Property | Getty Realty vs. Tanger Factory Outlet |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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