Correlation Between Amg Fq and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Amg Fq and Dow Jones 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 Amg Fq and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amg Fq Long Short and Dow Jones Industrial, you can compare the effects of market volatilities on Amg Fq and Dow Jones 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 Amg Fq with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Fq and Dow Jones.
Diversification Opportunities for Amg Fq and Dow Jones
Almost no diversification
The 3 months correlation between Amg and Dow is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Amg Fq Long Short and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Amg Fq 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 Amg Fq Long Short are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Amg Fq i.e., Amg Fq and Dow Jones go up and down completely randomly.
Pair Corralation between Amg Fq and Dow Jones
Assuming the 90 days horizon Amg Fq is expected to generate 1.06 times less return on investment than Dow Jones. But when comparing it to its historical volatility, Amg Fq Long Short is 1.16 times less risky than Dow Jones. It trades about 0.22 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 4,093,693 in Dow Jones Industrial on September 3, 2024 and sell it today you would earn a total of 397,372 from holding Dow Jones Industrial or generate 9.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Amg Fq Long Short vs. Dow Jones Industrial
Performance |
Timeline |
Amg Fq and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Amg Fq Long Short
Pair trading matchups for Amg Fq
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Amg Fq and Dow Jones
The main advantage of trading using opposite Amg Fq and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Fq position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.The idea behind Amg Fq Long Short and Dow Jones Industrial 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.Dow Jones vs. Jacobs Solutions | Dow Jones vs. Everus Construction Group | Dow Jones vs. Parker Hannifin | Dow Jones vs. Cebu Air ADR |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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