Correlation Between Vanguard 500 and Matthews China
Can any of the company-specific risk be diversified away by investing in both Vanguard 500 and Matthews China 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 Vanguard 500 and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vanguard 500 Index and Matthews China Fund, you can compare the effects of market volatilities on Vanguard 500 and Matthews China 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 Vanguard 500 with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vanguard 500 and Matthews China.
Diversification Opportunities for Vanguard 500 and Matthews China
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Vanguard and Matthews is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Vanguard 500 Index and Matthews China Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China and Vanguard 500 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 Vanguard 500 Index are associated (or correlated) with Matthews China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matthews China has no effect on the direction of Vanguard 500 i.e., Vanguard 500 and Matthews China go up and down completely randomly.
Pair Corralation between Vanguard 500 and Matthews China
Assuming the 90 days horizon Vanguard 500 Index is expected to generate 0.44 times more return on investment than Matthews China. However, Vanguard 500 Index is 2.28 times less risky than Matthews China. It trades about 0.12 of its potential returns per unit of risk. Matthews China Fund is currently generating about 0.0 per unit of risk. If you would invest 34,442 in Vanguard 500 Index on September 24, 2024 and sell it today you would earn a total of 20,441 from holding Vanguard 500 Index or generate 59.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Vanguard 500 Index vs. Matthews China Fund
Performance |
Timeline |
Vanguard 500 Index |
Matthews China |
Vanguard 500 and Matthews China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vanguard 500 and Matthews China
The main advantage of trading using opposite Vanguard 500 and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vanguard 500 position performs unexpectedly, Matthews China 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 Matthews China will offset losses from the drop in Matthews China's long position.Vanguard 500 vs. Vanguard International Growth | Vanguard 500 vs. Vanguard Wellington Fund | Vanguard 500 vs. Vanguard Windsor Ii |
Matthews China vs. Matthews India Fund | Matthews China vs. Matthews Asian Growth | Matthews China vs. Guinness Atkinson China | Matthews China vs. Oberweis China Opportunities |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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