Correlation Between US Global and Thornburg International
Can any of the company-specific risk be diversified away by investing in both US Global and Thornburg International 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 Global and Thornburg International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Global Jets and Thornburg International Growth, you can compare the effects of market volatilities on US Global and Thornburg International 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 Global with a short position of Thornburg International. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Global and Thornburg International.
Diversification Opportunities for US Global and Thornburg International
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between JETS and Thornburg is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding US Global Jets and Thornburg International Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thornburg International and US Global 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 Global Jets are associated (or correlated) with Thornburg International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thornburg International has no effect on the direction of US Global i.e., US Global and Thornburg International go up and down completely randomly.
Pair Corralation between US Global and Thornburg International
Given the investment horizon of 90 days US Global Jets is expected to generate 2.85 times more return on investment than Thornburg International. However, US Global is 2.85 times more volatile than Thornburg International Growth. It trades about 0.03 of its potential returns per unit of risk. Thornburg International Growth is currently generating about -0.39 per unit of risk. If you would invest 2,022 in US Global Jets on January 20, 2024 and sell it today you would earn a total of 19.00 from holding US Global Jets or generate 0.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.65% |
Values | Daily Returns |
US Global Jets vs. Thornburg International Growth
Performance |
Timeline |
US Global Jets |
Thornburg International |
US Global and Thornburg International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US Global and Thornburg International
The main advantage of trading using opposite US Global and Thornburg International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Global position performs unexpectedly, Thornburg International 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 Thornburg International will offset losses from the drop in Thornburg International's long position.US Global vs. Invesco DWA Utilities | US Global vs. Invesco Dynamic Food | US Global vs. HUMANA INC | US Global vs. Aquagold International |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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