Correlation Between US Global and Consumer Discretionary
Can any of the company-specific risk be diversified away by investing in both US Global and Consumer Discretionary 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 Consumer Discretionary into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Global Sea and Consumer Discretionary Select, you can compare the effects of market volatilities on US Global and Consumer Discretionary 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 Consumer Discretionary. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Global and Consumer Discretionary.
Diversification Opportunities for US Global and Consumer Discretionary
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SEA and Consumer is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding US Global Sea and Consumer Discretionary Select in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Consumer Discretionary 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 Sea are associated (or correlated) with Consumer Discretionary. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Consumer Discretionary has no effect on the direction of US Global i.e., US Global and Consumer Discretionary go up and down completely randomly.
Pair Corralation between US Global and Consumer Discretionary
Considering the 90-day investment horizon US Global Sea is expected to generate 0.88 times more return on investment than Consumer Discretionary. However, US Global Sea is 1.14 times less risky than Consumer Discretionary. It trades about 0.29 of its potential returns per unit of risk. Consumer Discretionary Select is currently generating about -0.06 per unit of risk. If you would invest 1,506 in US Global Sea on January 31, 2024 and sell it today you would earn a total of 88.00 from holding US Global Sea or generate 5.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
US Global Sea vs. Consumer Discretionary Select
Performance |
Timeline |
US Global Sea |
Consumer Discretionary |
US Global and Consumer Discretionary Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US Global and Consumer Discretionary
The main advantage of trading using opposite US Global and Consumer Discretionary positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Global position performs unexpectedly, Consumer Discretionary 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 Consumer Discretionary will offset losses from the drop in Consumer Discretionary's long position.US Global vs. iShares Telecommunications ETF | US Global vs. iShares Basic Materials | US Global vs. iShares Consumer Discretionary | US Global vs. iShares Real Estate |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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