Correlation Between Ford and Invesco EQQQ
Can any of the company-specific risk be diversified away by investing in both Ford and Invesco EQQQ 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 Ford and Invesco EQQQ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Invesco EQQQ NASDAQ 100, you can compare the effects of market volatilities on Ford and Invesco EQQQ 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 Ford with a short position of Invesco EQQQ. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Invesco EQQQ.
Diversification Opportunities for Ford and Invesco EQQQ
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and Invesco is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Invesco EQQQ NASDAQ 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco EQQQ NASDAQ and Ford 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 Ford Motor are associated (or correlated) with Invesco EQQQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco EQQQ NASDAQ has no effect on the direction of Ford i.e., Ford and Invesco EQQQ go up and down completely randomly.
Pair Corralation between Ford and Invesco EQQQ
Taking into account the 90-day investment horizon Ford is expected to generate 1.77 times less return on investment than Invesco EQQQ. In addition to that, Ford is 2.19 times more volatile than Invesco EQQQ NASDAQ 100. It trades about 0.03 of its total potential returns per unit of risk. Invesco EQQQ NASDAQ 100 is currently generating about 0.11 per unit of volatility. If you would invest 26,975 in Invesco EQQQ NASDAQ 100 on September 2, 2024 and sell it today you would earn a total of 8,645 from holding Invesco EQQQ NASDAQ 100 or generate 32.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Invesco EQQQ NASDAQ 100
Performance |
Timeline |
Ford Motor |
Invesco EQQQ NASDAQ |
Ford and Invesco EQQQ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Invesco EQQQ
The main advantage of trading using opposite Ford and Invesco EQQQ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Invesco EQQQ 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 EQQQ will offset losses from the drop in Invesco EQQQ's long position.The idea behind Ford Motor and Invesco EQQQ NASDAQ 100 pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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