Correlation Between Xtrackers MSCI and SPDR MSCI
Can any of the company-specific risk be diversified away by investing in both Xtrackers MSCI and SPDR MSCI 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 MSCI and SPDR MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers MSCI Kokusai and SPDR MSCI ACWI, you can compare the effects of market volatilities on Xtrackers MSCI and SPDR MSCI 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 MSCI with a short position of SPDR MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers MSCI and SPDR MSCI.
Diversification Opportunities for Xtrackers MSCI and SPDR MSCI
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Xtrackers and SPDR is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers MSCI Kokusai and SPDR MSCI ACWI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR MSCI ACWI and Xtrackers MSCI 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 MSCI Kokusai are associated (or correlated) with SPDR MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR MSCI ACWI has no effect on the direction of Xtrackers MSCI i.e., Xtrackers MSCI and SPDR MSCI go up and down completely randomly.
Pair Corralation between Xtrackers MSCI and SPDR MSCI
Given the investment horizon of 90 days Xtrackers MSCI Kokusai is expected to generate 0.95 times more return on investment than SPDR MSCI. However, Xtrackers MSCI Kokusai is 1.05 times less risky than SPDR MSCI. It trades about 0.1 of its potential returns per unit of risk. SPDR MSCI ACWI is currently generating about 0.08 per unit of risk. If you would invest 7,099 in Xtrackers MSCI Kokusai on October 11, 2024 and sell it today you would earn a total of 3,030 from holding Xtrackers MSCI Kokusai or generate 42.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.8% |
Values | Daily Returns |
Xtrackers MSCI Kokusai vs. SPDR MSCI ACWI
Performance |
Timeline |
Xtrackers MSCI Kokusai |
SPDR MSCI ACWI |
Xtrackers MSCI and SPDR MSCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers MSCI and SPDR MSCI
The main advantage of trading using opposite Xtrackers MSCI and SPDR MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers MSCI position performs unexpectedly, SPDR MSCI 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 SPDR MSCI will offset losses from the drop in SPDR MSCI's long position.Xtrackers MSCI vs. JPMorgan Fundamental Data | Xtrackers MSCI vs. Matthews China Discovery | Xtrackers MSCI vs. Davis Select International | Xtrackers MSCI vs. Dimensional ETF Trust |
SPDR MSCI vs. iShares ESG Advanced | SPDR MSCI vs. SPDR SP 500 | SPDR MSCI vs. iShares ESG Aware | SPDR MSCI vs. iShares ESG Aware |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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