Correlation Between Consumer Staples and Vanguard Sumer
Can any of the company-specific risk be diversified away by investing in both Consumer Staples and Vanguard Sumer 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 Consumer Staples and Vanguard Sumer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Consumer Staples Portfolio and Vanguard Sumer Staples, you can compare the effects of market volatilities on Consumer Staples and Vanguard Sumer 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 Consumer Staples with a short position of Vanguard Sumer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Consumer Staples and Vanguard Sumer.
Diversification Opportunities for Consumer Staples and Vanguard Sumer
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Consumer and Vanguard is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Consumer Staples Portfolio and Vanguard Sumer Staples in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard Sumer Staples and Consumer Staples 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 Consumer Staples Portfolio are associated (or correlated) with Vanguard Sumer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard Sumer Staples has no effect on the direction of Consumer Staples i.e., Consumer Staples and Vanguard Sumer go up and down completely randomly.
Pair Corralation between Consumer Staples and Vanguard Sumer
Assuming the 90 days horizon Consumer Staples Portfolio is expected to under-perform the Vanguard Sumer. In addition to that, Consumer Staples is 1.12 times more volatile than Vanguard Sumer Staples. It trades about -0.01 of its total potential returns per unit of risk. Vanguard Sumer Staples is currently generating about 0.07 per unit of volatility. If you would invest 10,731 in Vanguard Sumer Staples on September 12, 2024 and sell it today you would earn a total of 240.00 from holding Vanguard Sumer Staples or generate 2.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Consumer Staples Portfolio vs. Vanguard Sumer Staples
Performance |
Timeline |
Consumer Staples Por |
Vanguard Sumer Staples |
Consumer Staples and Vanguard Sumer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Consumer Staples and Vanguard Sumer
The main advantage of trading using opposite Consumer Staples and Vanguard Sumer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Consumer Staples position performs unexpectedly, Vanguard Sumer 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 Vanguard Sumer will offset losses from the drop in Vanguard Sumer's long position.Consumer Staples vs. Barings Emerging Markets | Consumer Staples vs. Kinetics Market Opportunities | Consumer Staples vs. Artisan Emerging Markets | Consumer Staples vs. Ep Emerging Markets |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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