Correlation Between Dow Jones and Ashmore Emerging

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

Diversification Opportunities for Dow Jones and Ashmore Emerging

-0.23

Correlation Coefficient

Dow Jones  Ashmore Emerging

Very good diversification

The 3 months correlation between Dow and Ashmore is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Ashmore Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ashmore Emerging Markets 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 Ashmore Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ashmore Emerging Markets has no effect on the direction of Dow Jones i.e., Dow Jones and Ashmore Emerging go up and down completely randomly.

Pair Corralation between Dow Jones and Ashmore Emerging

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Ashmore Emerging. In addition to that, Dow Jones is 3.6 times more volatile than Ashmore Emerging Markets. It trades about -0.23 of its total potential returns per unit of risk. Ashmore Emerging Markets is currently generating about -0.1 per unit of volatility. If you would invest  462.00  in Ashmore Emerging Markets on September 27, 2024 and sell it today you would lose (2.00) from holding Ashmore Emerging Markets or give up 0.43% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Dow Jones Industrial  vs.  Ashmore Emerging Markets

Pair Trading with Dow Jones and Ashmore Emerging

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

The idea behind Dow Jones Industrial and Ashmore Emerging Markets 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.