Correlation Between Consumer Staples and Fidelity Low
Can any of the company-specific risk be diversified away by investing in both Consumer Staples and Fidelity Low 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 Fidelity Low 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 Fidelity Low Priced Stock, you can compare the effects of market volatilities on Consumer Staples and Fidelity Low 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 Fidelity Low. Check out your portfolio center. Please also check ongoing floating volatility patterns of Consumer Staples and Fidelity Low.
Diversification Opportunities for Consumer Staples and Fidelity Low
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Consumer and Fidelity is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Consumer Staples Portfolio and Fidelity Low Priced Stock in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Low Priced 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 Fidelity Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Low Priced has no effect on the direction of Consumer Staples i.e., Consumer Staples and Fidelity Low go up and down completely randomly.
Pair Corralation between Consumer Staples and Fidelity Low
Assuming the 90 days horizon Consumer Staples Portfolio is expected to under-perform the Fidelity Low. In addition to that, Consumer Staples is 1.87 times more volatile than Fidelity Low Priced Stock. It trades about -0.4 of its total potential returns per unit of risk. Fidelity Low Priced Stock is currently generating about -0.28 per unit of volatility. If you would invest 1,526 in Fidelity Low Priced Stock on October 12, 2024 and sell it today you would lose (61.00) from holding Fidelity Low Priced Stock or give up 4.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Consumer Staples Portfolio vs. Fidelity Low Priced Stock
Performance |
Timeline |
Consumer Staples Por |
Fidelity Low Priced |
Consumer Staples and Fidelity Low Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Consumer Staples and Fidelity Low
The main advantage of trading using opposite Consumer Staples and Fidelity Low positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Consumer Staples position performs unexpectedly, Fidelity Low 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 Fidelity Low will offset losses from the drop in Fidelity Low's long position.Consumer Staples vs. Fidelity Advisor Health | Consumer Staples vs. Fidelity Advisor Biotechnology | Consumer Staples vs. Materials Portfolio Fidelity | Consumer Staples vs. Consumer Staples Portfolio |
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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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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