Correlation Between Matthews China and SEI Exchange
Can any of the company-specific risk be diversified away by investing in both Matthews China and SEI Exchange 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 SEI Exchange into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews China Discovery and SEI Exchange Traded, you can compare the effects of market volatilities on Matthews China and SEI Exchange 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 SEI Exchange. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews China and SEI Exchange.
Diversification Opportunities for Matthews China and SEI Exchange
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Matthews and SEI is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Discovery and SEI Exchange Traded in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEI Exchange Traded 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 Discovery are associated (or correlated) with SEI Exchange. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEI Exchange Traded has no effect on the direction of Matthews China i.e., Matthews China and SEI Exchange go up and down completely randomly.
Pair Corralation between Matthews China and SEI Exchange
Given the investment horizon of 90 days Matthews China is expected to generate 1.83 times less return on investment than SEI Exchange. In addition to that, Matthews China is 2.32 times more volatile than SEI Exchange Traded. It trades about 0.02 of its total potential returns per unit of risk. SEI Exchange Traded is currently generating about 0.1 per unit of volatility. If you would invest 2,394 in SEI Exchange Traded on September 3, 2024 and sell it today you would earn a total of 1,097 from holding SEI Exchange Traded or generate 45.82% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 47.58% |
| Values | Daily Returns |
Matthews China Discovery vs. SEI Exchange Traded
Performance |
| Timeline |
| Matthews China Discovery |
| SEI Exchange Traded |
Matthews China and SEI Exchange Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Matthews China and SEI Exchange
The main advantage of trading using opposite Matthews China and SEI Exchange positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews China position performs unexpectedly, SEI Exchange 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 SEI Exchange will offset losses from the drop in SEI Exchange's long position.| Matthews China vs. FT Vest Equity | Matthews China vs. Northern Lights | Matthews China vs. Dimensional International High | Matthews China vs. JPMorgan Fundamental Data |
| SEI Exchange vs. Global X Funds | SEI Exchange vs. Dell Technologies | SEI Exchange vs. Juniper Networks | SEI Exchange vs. HUMANA INC |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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