Correlation Between Morgan Stanley and KraneShares MSCI
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and KraneShares 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 Morgan Stanley and KraneShares MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Direct and KraneShares MSCI China, you can compare the effects of market volatilities on Morgan Stanley and KraneShares 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 Morgan Stanley with a short position of KraneShares MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and KraneShares MSCI.
Diversification Opportunities for Morgan Stanley and KraneShares MSCI
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Morgan and KraneShares is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and KraneShares MSCI China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KraneShares MSCI China and Morgan Stanley 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 Morgan Stanley Direct are associated (or correlated) with KraneShares MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KraneShares MSCI China has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and KraneShares MSCI go up and down completely randomly.
Pair Corralation between Morgan Stanley and KraneShares MSCI
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 0.41 times more return on investment than KraneShares MSCI. However, Morgan Stanley Direct is 2.42 times less risky than KraneShares MSCI. It trades about 0.2 of its potential returns per unit of risk. KraneShares MSCI China is currently generating about 0.01 per unit of risk. If you would invest 2,055 in Morgan Stanley Direct on September 19, 2024 and sell it today you would earn a total of 83.00 from holding Morgan Stanley Direct or generate 4.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Morgan Stanley Direct vs. KraneShares MSCI China
Performance |
Timeline |
Morgan Stanley Direct |
KraneShares MSCI China |
Morgan Stanley and KraneShares MSCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and KraneShares MSCI
The main advantage of trading using opposite Morgan Stanley and KraneShares MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, KraneShares 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 KraneShares MSCI will offset losses from the drop in KraneShares MSCI's long position.Morgan Stanley vs. Mesa Air Group | Morgan Stanley vs. Air Transport Services | Morgan Stanley vs. SmartStop Self Storage | Morgan Stanley vs. Q2 Holdings |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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