Correlation Between US Commodity and Themes Airlines
Can any of the company-specific risk be diversified away by investing in both US Commodity and Themes Airlines 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 US Commodity and Themes Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Commodity Funds and Themes Airlines ETF, you can compare the effects of market volatilities on US Commodity and Themes Airlines 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 US Commodity with a short position of Themes Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Commodity and Themes Airlines.
Diversification Opportunities for US Commodity and Themes Airlines
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ALUM and Themes is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding US Commodity Funds and Themes Airlines ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Themes Airlines ETF and US Commodity 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 US Commodity Funds are associated (or correlated) with Themes Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Themes Airlines ETF has no effect on the direction of US Commodity i.e., US Commodity and Themes Airlines go up and down completely randomly.
Pair Corralation between US Commodity and Themes Airlines
Given the investment horizon of 90 days US Commodity is expected to generate 1.25 times less return on investment than Themes Airlines. In addition to that, US Commodity is 1.41 times more volatile than Themes Airlines ETF. It trades about 0.03 of its total potential returns per unit of risk. Themes Airlines ETF is currently generating about 0.06 per unit of volatility. If you would invest 2,498 in Themes Airlines ETF on September 3, 2024 and sell it today you would earn a total of 455.00 from holding Themes Airlines ETF or generate 18.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 91.9% |
Values | Daily Returns |
US Commodity Funds vs. Themes Airlines ETF
Performance |
Timeline |
US Commodity Funds |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
Themes Airlines ETF |
US Commodity and Themes Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US Commodity and Themes Airlines
The main advantage of trading using opposite US Commodity and Themes Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Commodity position performs unexpectedly, Themes Airlines 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 Themes Airlines will offset losses from the drop in Themes Airlines' long position.US Commodity vs. FT Vest Equity | US Commodity vs. Zillow Group Class | US Commodity vs. Northern Lights | US Commodity vs. VanEck Vectors Moodys |
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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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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