Correlation Between Dow Jones and Dreyfus Amt

Can any of the company-specific risk be diversified away by investing in both Dow Jones and Dreyfus Amt 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 Dreyfus Amt 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 Dreyfus Amt Free Municipal, you can compare the effects of market volatilities on Dow Jones and Dreyfus Amt 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 Dreyfus Amt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Dreyfus Amt.

Diversification Opportunities for Dow Jones and Dreyfus Amt

0.37

Correlation Coefficient

Dow Jones  Dreyfus Amt

Weak diversification

The 3 months correlation between Dow and Dreyfus is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Dreyfus Amt Free Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Amt Free 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 Dreyfus Amt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Amt Free has no effect on the direction of Dow Jones i.e., Dow Jones and Dreyfus Amt go up and down completely randomly.

Pair Corralation between Dow Jones and Dreyfus Amt

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 3.04 times more return on investment than Dreyfus Amt. However, Dow Jones is 3.04 times more volatile than Dreyfus Amt Free Municipal. It trades about 0.08 of its potential returns per unit of risk. Dreyfus Amt Free Municipal is currently generating about 0.07 per unit of risk. If you would invest  3,313,637  in Dow Jones Industrial on September 24, 2024 and sell it today you would earn a total of  970,389  from holding Dow Jones Industrial or generate 29.28% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Dow Jones Industrial  vs.  Dreyfus Amt Free Municipal

Pair Trading with Dow Jones and Dreyfus Amt

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

The idea behind Dow Jones Industrial and Dreyfus Amt Free Municipal 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.