Correlation Between Dow Jones and Amg Timessquare

Can any of the company-specific risk be diversified away by investing in both Dow Jones and Amg Timessquare 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 Dow Jones and Amg Timessquare into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Dow Jones Industrial and Amg Timessquare Emerging, you can compare the effects of market volatilities on Dow Jones and Amg Timessquare 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 Dow Jones with a short position of Amg Timessquare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Amg Timessquare.

Diversification Opportunities for Dow Jones and Amg Timessquare

0.62

Correlation Coefficient

Dow Jones  Amg Timessquare

Poor diversification

The 3 months correlation between Dow and Amg is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Amg Timessquare Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Timessquare Emerging and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Amg Timessquare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Timessquare Emerging has no effect on the direction of Dow Jones i.e., Dow Jones and Amg Timessquare go up and down completely randomly.

Pair Corralation between Dow Jones and Amg Timessquare

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Amg Timessquare. In addition to that, Dow Jones is 30.05 times more volatile than Amg Timessquare Emerging. It trades about -0.24 of its total potential returns per unit of risk. Amg Timessquare Emerging is currently generating about 0.22 per unit of volatility. If you would invest  898.00  in Amg Timessquare Emerging on September 28, 2024 and sell it today you would earn a total of  1.00  from holding Amg Timessquare Emerging or generate 0.11% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	95.45%
Values	Daily Returns

Dow Jones Industrial  vs.  Amg Timessquare Emerging

Pair Trading with Dow Jones and Amg Timessquare

The main advantage of trading using opposite Dow Jones and Amg Timessquare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Amg Timessquare 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 Amg Timessquare will offset losses from the drop in Amg Timessquare's long position.

The idea behind Dow Jones Industrial and Amg Timessquare Emerging 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.

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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.