Correlation Between Matthews India and Matthews Asia
Can any of the company-specific risk be diversified away by investing in both Matthews India and Matthews Asia 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 India and Matthews Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews India Fund and Matthews Asia Dividend, you can compare the effects of market volatilities on Matthews India and Matthews Asia 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 India with a short position of Matthews Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews India and Matthews Asia.
Diversification Opportunities for Matthews India and Matthews Asia
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Matthews and Matthews is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Matthews India Fund and Matthews Asia Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews Asia Dividend and Matthews India 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 India Fund are associated (or correlated) with Matthews Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matthews Asia Dividend has no effect on the direction of Matthews India i.e., Matthews India and Matthews Asia go up and down completely randomly.
Pair Corralation between Matthews India and Matthews Asia
Assuming the 90 days horizon Matthews India Fund is expected to under-perform the Matthews Asia. In addition to that, Matthews India is 1.65 times more volatile than Matthews Asia Dividend. It trades about -0.03 of its total potential returns per unit of risk. Matthews Asia Dividend is currently generating about 0.04 per unit of volatility. If you would invest 1,320 in Matthews Asia Dividend on November 3, 2024 and sell it today you would earn a total of 91.00 from holding Matthews Asia Dividend or generate 6.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Matthews India Fund vs. Matthews Asia Dividend
Performance |
| Timeline |
| Matthews India |
| Matthews Asia Dividend |
Matthews India and Matthews Asia Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Matthews India and Matthews Asia
The main advantage of trading using opposite Matthews India and Matthews Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews India position performs unexpectedly, Matthews Asia 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 Asia will offset losses from the drop in Matthews Asia's long position.| Matthews India vs. Matthews China Fund | Matthews India vs. Matthews Pacific Tiger | Matthews India vs. Eaton Vance Greater | Matthews India vs. Morgan Stanley India |
| Matthews Asia vs. Matthews Asian Growth | Matthews Asia vs. Matthews Pacific Tiger | Matthews Asia vs. Matthews Asia Growth | Matthews Asia vs. Matthews India Fund |
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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