Correlation Between DSJA and DBX ETF
Can any of the company-specific risk be diversified away by investing in both DSJA and DBX ETF 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 DSJA and DBX ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DSJA and DBX ETF Trust, you can compare the effects of market volatilities on DSJA and DBX ETF 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 DSJA with a short position of DBX ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of DSJA and DBX ETF.
Diversification Opportunities for DSJA and DBX ETF
Very poor diversification
The 3 months correlation between DSJA and DBX is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding DSJA and DBX ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DBX ETF Trust and DSJA 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 DSJA are associated (or correlated) with DBX ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DBX ETF Trust has no effect on the direction of DSJA i.e., DSJA and DBX ETF go up and down completely randomly.
Pair Corralation between DSJA and DBX ETF
Given the investment horizon of 90 days DSJA is expected to generate 1.0 times less return on investment than DBX ETF. But when comparing it to its historical volatility, DSJA is 1.2 times less risky than DBX ETF. It trades about 0.13 of its potential returns per unit of risk. DBX ETF Trust is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,510 in DBX ETF Trust on September 4, 2024 and sell it today you would earn a total of 1,340 from holding DBX ETF Trust or generate 53.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 30.71% |
| Values | Daily Returns |
DSJA vs. DBX ETF Trust
Performance |
| Timeline |
| DSJA |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| DBX ETF Trust |
DSJA and DBX ETF Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DSJA and DBX ETF
The main advantage of trading using opposite DSJA and DBX ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DSJA position performs unexpectedly, DBX ETF 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 DBX ETF will offset losses from the drop in DBX ETF's long position.The idea behind DSJA and DBX ETF Trust 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.| DBX ETF vs. Vanguard Total Stock | DBX ETF vs. SPDR SP 500 | DBX ETF vs. iShares Core SP | DBX ETF vs. Vanguard Dividend Appreciation |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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