Correlation Between ASHFORD HOSPITTRUST and Graham Holdings
Can any of the company-specific risk be diversified away by investing in both ASHFORD HOSPITTRUST and Graham Holdings 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 ASHFORD HOSPITTRUST and Graham Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ASHFORD HOSPITTRUST and Graham Holdings Co, you can compare the effects of market volatilities on ASHFORD HOSPITTRUST and Graham Holdings 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 ASHFORD HOSPITTRUST with a short position of Graham Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of ASHFORD HOSPITTRUST and Graham Holdings.
Diversification Opportunities for ASHFORD HOSPITTRUST and Graham Holdings
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ASHFORD and Graham is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding ASHFORD HOSPITTRUST and Graham Holdings Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graham Holdings and ASHFORD HOSPITTRUST 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 ASHFORD HOSPITTRUST are associated (or correlated) with Graham Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graham Holdings has no effect on the direction of ASHFORD HOSPITTRUST i.e., ASHFORD HOSPITTRUST and Graham Holdings go up and down completely randomly.
Pair Corralation between ASHFORD HOSPITTRUST and Graham Holdings
Assuming the 90 days horizon ASHFORD HOSPITTRUST is expected to under-perform the Graham Holdings. In addition to that, ASHFORD HOSPITTRUST is 1.49 times more volatile than Graham Holdings Co. It trades about -0.17 of its total potential returns per unit of risk. Graham Holdings Co is currently generating about 0.18 per unit of volatility. If you would invest 68,832 in Graham Holdings Co on September 4, 2024 and sell it today you would earn a total of 20,168 from holding Graham Holdings Co or generate 29.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ASHFORD HOSPITTRUST vs. Graham Holdings Co
Performance |
Timeline |
ASHFORD HOSPITTRUST |
Graham Holdings |
ASHFORD HOSPITTRUST and Graham Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ASHFORD HOSPITTRUST and Graham Holdings
The main advantage of trading using opposite ASHFORD HOSPITTRUST and Graham Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ASHFORD HOSPITTRUST position performs unexpectedly, Graham Holdings 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 Graham Holdings will offset losses from the drop in Graham Holdings' long position.ASHFORD HOSPITTRUST vs. PENN NATL GAMING | ASHFORD HOSPITTRUST vs. AECOM TECHNOLOGY | ASHFORD HOSPITTRUST vs. Hochschild Mining plc | ASHFORD HOSPITTRUST vs. Align Technology |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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