Correlation Between Amplify ETF and AdvisorShares Hotel
Can any of the company-specific risk be diversified away by investing in both Amplify ETF and AdvisorShares Hotel 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 Amplify ETF and AdvisorShares Hotel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amplify ETF Trust and AdvisorShares Hotel ETF, you can compare the effects of market volatilities on Amplify ETF and AdvisorShares Hotel 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 Amplify ETF with a short position of AdvisorShares Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amplify ETF and AdvisorShares Hotel.
Diversification Opportunities for Amplify ETF and AdvisorShares Hotel
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Amplify and AdvisorShares is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Amplify ETF Trust and AdvisorShares Hotel ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AdvisorShares Hotel ETF and Amplify ETF 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 Amplify ETF Trust are associated (or correlated) with AdvisorShares Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AdvisorShares Hotel ETF has no effect on the direction of Amplify ETF i.e., Amplify ETF and AdvisorShares Hotel go up and down completely randomly.
Pair Corralation between Amplify ETF and AdvisorShares Hotel
Given the investment horizon of 90 days Amplify ETF is expected to generate 1.21 times less return on investment than AdvisorShares Hotel. In addition to that, Amplify ETF is 1.11 times more volatile than AdvisorShares Hotel ETF. It trades about 0.11 of its total potential returns per unit of risk. AdvisorShares Hotel ETF is currently generating about 0.14 per unit of volatility. If you would invest 2,965 in AdvisorShares Hotel ETF on September 20, 2024 and sell it today you would earn a total of 317.00 from holding AdvisorShares Hotel ETF or generate 10.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Amplify ETF Trust vs. AdvisorShares Hotel ETF
Performance |
Timeline |
Amplify ETF Trust |
AdvisorShares Hotel ETF |
Amplify ETF and AdvisorShares Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amplify ETF and AdvisorShares Hotel
The main advantage of trading using opposite Amplify ETF and AdvisorShares Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amplify ETF position performs unexpectedly, AdvisorShares Hotel 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 AdvisorShares Hotel will offset losses from the drop in AdvisorShares Hotel's long position.Amplify ETF vs. Invesco Dynamic Leisure | Amplify ETF vs. US Global Jets | Amplify ETF vs. Global X Infrastructure | Amplify ETF vs. ProShares Online Retail |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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