Correlation Between Matthews China and Pacer Funds
Can any of the company-specific risk be diversified away by investing in both Matthews China and Pacer Funds 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 Pacer Funds 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 Pacer Funds Trust, you can compare the effects of market volatilities on Matthews China and Pacer Funds 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 Pacer Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews China and Pacer Funds.
Diversification Opportunities for Matthews China and Pacer Funds
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Matthews and Pacer is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Discovery and Pacer Funds Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pacer Funds Trust 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 Pacer Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pacer Funds Trust has no effect on the direction of Matthews China i.e., Matthews China and Pacer Funds go up and down completely randomly.
Pair Corralation between Matthews China and Pacer Funds
Given the investment horizon of 90 days Matthews China Discovery is expected to under-perform the Pacer Funds. In addition to that, Matthews China is 4.2 times more volatile than Pacer Funds Trust. It trades about -0.03 of its total potential returns per unit of risk. Pacer Funds Trust is currently generating about 0.33 per unit of volatility. If you would invest 2,817 in Pacer Funds Trust on September 2, 2024 and sell it today you would earn a total of 91.00 from holding Pacer Funds Trust or generate 3.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews China Discovery vs. Pacer Funds Trust
Performance |
Timeline |
Matthews China Discovery |
Pacer Funds Trust |
Matthews China and Pacer Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews China and Pacer Funds
The main advantage of trading using opposite Matthews China and Pacer Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews China position performs unexpectedly, Pacer Funds 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 Pacer Funds will offset losses from the drop in Pacer Funds' long position.Matthews China vs. FT Vest Equity | Matthews China vs. Northern Lights | Matthews China vs. Dimensional International High | Matthews China vs. Davis Select International |
Pacer Funds vs. FT Vest Equity | Pacer Funds vs. Northern Lights | Pacer Funds vs. Dimensional International High | Pacer Funds vs. Matthews China Discovery |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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