Correlation Between Matthews China and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Matthews China 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 Matthews China and Morgan Stanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews China Fund and Morgan Stanley India, you can compare the effects of market volatilities on Matthews China 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 Matthews China with a short position of Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews China and Morgan Stanley.
Diversification Opportunities for Matthews China and Morgan Stanley
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Matthews and Morgan is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Fund and Morgan Stanley India in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley India and Matthews China 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 Matthews China Fund 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 India has no effect on the direction of Matthews China i.e., Matthews China and Morgan Stanley go up and down completely randomly.
Pair Corralation between Matthews China and Morgan Stanley
Assuming the 90 days horizon Matthews China Fund is expected to generate 2.23 times more return on investment than Morgan Stanley. However, Matthews China is 2.23 times more volatile than Morgan Stanley India. It trades about 0.13 of its potential returns per unit of risk. Morgan Stanley India is currently generating about -0.09 per unit of risk. If you would invest 1,109 in Matthews China Fund on September 15, 2024 and sell it today you would earn a total of 291.00 from holding Matthews China Fund or generate 26.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews China Fund vs. Morgan Stanley India
Performance |
Timeline |
Matthews China |
Morgan Stanley India |
Matthews China and Morgan Stanley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews China and Morgan Stanley
The main advantage of trading using opposite Matthews China and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews China 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.Matthews China vs. Matthews India Fund | Matthews China vs. Matthews Pacific Tiger | Matthews China vs. Matthews Asian Growth | Matthews China vs. Guinness Atkinson China |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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