Correlation Between Dimensional Emerging and Dimensional Equity

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Dimensional Emerging and Dimensional Equity 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 Emerging and Dimensional Equity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dimensional Emerging Core and Dimensional Equity ETF, you can compare the effects of market volatilities on Dimensional Emerging and Dimensional Equity 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 Emerging with a short position of Dimensional Equity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dimensional Emerging and Dimensional Equity.

Diversification Opportunities for Dimensional Emerging and Dimensional Equity

0.24
  Correlation Coefficient

Modest diversification

The 3 months correlation between Dimensional and Dimensional is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Dimensional Emerging Core and Dimensional Equity ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dimensional Equity ETF and Dimensional Emerging 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 Emerging Core are associated (or correlated) with Dimensional Equity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dimensional Equity ETF has no effect on the direction of Dimensional Emerging i.e., Dimensional Emerging and Dimensional Equity go up and down completely randomly.

Pair Corralation between Dimensional Emerging and Dimensional Equity

Given the investment horizon of 90 days Dimensional Emerging is expected to generate 28.3 times less return on investment than Dimensional Equity. In addition to that, Dimensional Emerging is 1.38 times more volatile than Dimensional Equity ETF. It trades about 0.0 of its total potential returns per unit of risk. Dimensional Equity ETF is currently generating about 0.16 per unit of volatility. If you would invest  6,034  in Dimensional Equity ETF on August 28, 2024 and sell it today you would earn a total of  510.00  from holding Dimensional Equity ETF or generate 8.45% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Dimensional Emerging Core  vs.  Dimensional Equity ETF

 Performance 
       Timeline  
Dimensional Emerging Core 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dimensional Emerging Core has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, Dimensional Emerging is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.
Dimensional Equity ETF 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Dimensional Equity ETF are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Dimensional Equity may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Dimensional Emerging and Dimensional Equity Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dimensional Emerging and Dimensional Equity

The main advantage of trading using opposite Dimensional Emerging and Dimensional Equity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dimensional Emerging position performs unexpectedly, Dimensional Equity 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 Dimensional Equity will offset losses from the drop in Dimensional Equity's long position.
The idea behind Dimensional Emerging Core and Dimensional Equity ETF 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.
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

Other Complementary Tools

Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals