Correlation Between Dimensional 2030 and Emerging Markets

Can any of the company-specific risk be diversified away by investing in both Dimensional 2030 and Emerging Markets 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 Dimensional 2030 and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Dimensional 2030 Target and Emerging Markets Portfolio, you can compare the effects of market volatilities on Dimensional 2030 and Emerging Markets 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 Dimensional 2030 with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dimensional 2030 and Emerging Markets.

Diversification Opportunities for Dimensional 2030 and Emerging Markets

0.67

Correlation Coefficient

Dimensional 2030  Emerging Markets

Poor diversification

The 3 months correlation between Dimensional and Emerging is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Dimensional 2030 Target and Emerging Markets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Por and Dimensional 2030 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 Dimensional 2030 Target are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets Por has no effect on the direction of Dimensional 2030 i.e., Dimensional 2030 and Emerging Markets go up and down completely randomly.

Pair Corralation between Dimensional 2030 and Emerging Markets

Assuming the 90 days horizon Dimensional 2030 is expected to generate 3.35 times less return on investment than Emerging Markets. But when comparing it to its historical volatility, Dimensional 2030 Target is 1.83 times less risky than Emerging Markets. It trades about 0.04 of its potential returns per unit of risk. Emerging Markets Portfolio is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  2,904  in Emerging Markets Portfolio on December 24, 2024 and sell it today you would earn a total of  99.00  from holding Emerging Markets Portfolio or generate 3.41% return on investment over 90 days.

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

Dimensional 2030 Target  vs.  Emerging Markets Portfolio

Dimensional 2030 Target

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Dimensional 2030 Target are ranked lower than 2 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Dimensional 2030 is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Emerging Markets Por

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Emerging Markets Portfolio are ranked lower than 5 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong primary indicators, Emerging Markets is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Dimensional 2030 and Emerging Markets

The main advantage of trading using opposite Dimensional 2030 and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dimensional 2030 position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.

The idea behind Dimensional 2030 Target and Emerging Markets Portfolio 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 Transaction History module to view history of all your transactions and understand their impact on performance.