Correlation Between T Rowe and Matthews China
Can any of the company-specific risk be diversified away by investing in both T Rowe 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 T Rowe and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between T Rowe Price and Matthews China Fund, you can compare the effects of market volatilities on T Rowe 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 T Rowe with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of T Rowe and Matthews China.
Diversification Opportunities for T Rowe and Matthews China
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between TCELX and Matthews is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding T Rowe Price and Matthews China Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China and T Rowe 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 T Rowe Price 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 T Rowe i.e., T Rowe and Matthews China go up and down completely randomly.
Pair Corralation between T Rowe and Matthews China
Assuming the 90 days horizon T Rowe Price is expected to generate 0.66 times more return on investment than Matthews China. However, T Rowe Price is 1.52 times less risky than Matthews China. It trades about -0.11 of its potential returns per unit of risk. Matthews China Fund is currently generating about -0.09 per unit of risk. If you would invest 1,115 in T Rowe Price on September 1, 2024 and sell it today you would lose (43.00) from holding T Rowe Price or give up 3.86% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
T Rowe Price vs. Matthews China Fund
Performance |
| Timeline |
| T Rowe Price |
| Matthews China |
T Rowe and Matthews China Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with T Rowe and Matthews China
The main advantage of trading using opposite T Rowe and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if T Rowe 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.The idea behind T Rowe Price and Matthews China Fund pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Matthews China vs. Matthews Pacific Tiger | Matthews China vs. Matthews India Fund | Matthews China vs. Matthews Asia Growth | Matthews China vs. Matthews China Dividend |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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