Correlation Between NYSE Composite and Invesco NASDAQ
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Invesco NASDAQ 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 NYSE Composite and Invesco NASDAQ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Invesco NASDAQ 100, you can compare the effects of market volatilities on NYSE Composite and Invesco NASDAQ 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 NYSE Composite with a short position of Invesco NASDAQ. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Invesco NASDAQ.
Diversification Opportunities for NYSE Composite and Invesco NASDAQ
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between NYSE and Invesco is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Invesco NASDAQ 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco NASDAQ 100 and NYSE Composite 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 NYSE Composite are associated (or correlated) with Invesco NASDAQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco NASDAQ 100 has no effect on the direction of NYSE Composite i.e., NYSE Composite and Invesco NASDAQ go up and down completely randomly.
Pair Corralation between NYSE Composite and Invesco NASDAQ
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.1 times less return on investment than Invesco NASDAQ. But when comparing it to its historical volatility, NYSE Composite is 1.66 times less risky than Invesco NASDAQ. It trades about 0.15 of its potential returns per unit of risk. Invesco NASDAQ 100 is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 19,998 in Invesco NASDAQ 100 on August 26, 2024 and sell it today you would earn a total of 820.00 from holding Invesco NASDAQ 100 or generate 4.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Invesco NASDAQ 100
Performance |
| Timeline |
NYSE Composite and Invesco NASDAQ Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Invesco NASDAQ 100
Pair trading matchups for Invesco NASDAQ
Pair Trading with NYSE Composite and Invesco NASDAQ
The main advantage of trading using opposite NYSE Composite and Invesco NASDAQ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Invesco NASDAQ 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 Invesco NASDAQ will offset losses from the drop in Invesco NASDAQ's long position.| NYSE Composite vs. Grocery Outlet Holding | NYSE Composite vs. Tencent Music Entertainment | NYSE Composite vs. SunLink Health Systems | NYSE Composite vs. Getty Realty |
| Invesco NASDAQ vs. Invesco Dynamic Large | Invesco NASDAQ vs. Perella Weinberg Partners | Invesco NASDAQ vs. HUMANA INC | Invesco NASDAQ 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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