Correlation Between Xtrackers USD and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Xtrackers USD and Morgan Stanley 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 Xtrackers USD and Morgan Stanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers USD High and Morgan Stanley ETF, you can compare the effects of market volatilities on Xtrackers USD and Morgan Stanley 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 Xtrackers USD with a short position of Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers USD and Morgan Stanley.
Diversification Opportunities for Xtrackers USD and Morgan Stanley
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Xtrackers and Morgan is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers USD High and Morgan Stanley ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley ETF and Xtrackers USD 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 Xtrackers USD High are associated (or correlated) with Morgan Stanley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Morgan Stanley ETF has no effect on the direction of Xtrackers USD i.e., Xtrackers USD and Morgan Stanley go up and down completely randomly.
Pair Corralation between Xtrackers USD and Morgan Stanley
Given the investment horizon of 90 days Xtrackers USD High is expected to generate 1.0 times more return on investment than Morgan Stanley. However, Xtrackers USD High is 1.0 times less risky than Morgan Stanley. It trades about 0.31 of its potential returns per unit of risk. Morgan Stanley ETF is currently generating about 0.31 per unit of risk. If you would invest 3,608 in Xtrackers USD High on September 5, 2024 and sell it today you would earn a total of 49.00 from holding Xtrackers USD High or generate 1.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers USD High vs. Morgan Stanley ETF
Performance |
Timeline |
Xtrackers USD High |
Morgan Stanley ETF |
Xtrackers USD and Morgan Stanley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers USD and Morgan Stanley
The main advantage of trading using opposite Xtrackers USD and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers USD position performs unexpectedly, Morgan Stanley 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 Morgan Stanley will offset losses from the drop in Morgan Stanley's long position.Xtrackers USD vs. iShares iBoxx Investment | Xtrackers USD vs. SPDR Bloomberg High | Xtrackers USD vs. iShares TIPS Bond | Xtrackers USD vs. iShares 20 Year |
Morgan Stanley vs. iShares iBoxx Investment | Morgan Stanley vs. SPDR Bloomberg High | Morgan Stanley vs. iShares TIPS Bond | Morgan Stanley vs. iShares 20 Year |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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