Correlation Between Consumer Services and Nasdaq-100(r)
Can any of the company-specific risk be diversified away by investing in both Consumer Services and Nasdaq-100(r) 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 Services and Nasdaq-100(r) into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Consumer Services Ultrasector and Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Consumer Services and Nasdaq-100(r) 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 Services with a short position of Nasdaq-100(r). Check out your portfolio center. Please also check ongoing floating volatility patterns of Consumer Services and Nasdaq-100(r).
Diversification Opportunities for Consumer Services and Nasdaq-100(r)
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Consumer and Nasdaq-100(r) is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Consumer Services Ultrasector and Nasdaq 100 2x Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 2x and Consumer Services 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 Services Ultrasector are associated (or correlated) with Nasdaq-100(r). Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 2x has no effect on the direction of Consumer Services i.e., Consumer Services and Nasdaq-100(r) go up and down completely randomly.
Pair Corralation between Consumer Services and Nasdaq-100(r)
Assuming the 90 days horizon Consumer Services Ultrasector is expected to generate 0.73 times more return on investment than Nasdaq-100(r). However, Consumer Services Ultrasector is 1.38 times less risky than Nasdaq-100(r). It trades about -0.05 of its potential returns per unit of risk. Nasdaq 100 2x Strategy is currently generating about -0.05 per unit of risk. If you would invest 7,465 in Consumer Services Ultrasector on December 2, 2024 and sell it today you would lose (486.00) from holding Consumer Services Ultrasector or give up 6.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Consumer Services Ultrasector vs. Nasdaq 100 2x Strategy
Performance |
Timeline |
Consumer Services |
Nasdaq 100 2x |
Consumer Services and Nasdaq-100(r) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Consumer Services and Nasdaq-100(r)
The main advantage of trading using opposite Consumer Services and Nasdaq-100(r) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Consumer Services position performs unexpectedly, Nasdaq-100(r) 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 Nasdaq-100(r) will offset losses from the drop in Nasdaq-100(r)'s long position.Consumer Services vs. Rmb Mendon Financial | Consumer Services vs. Mesirow Financial Small | Consumer Services vs. Rmb Mendon Financial | Consumer Services vs. Davis Financial Fund |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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