Correlation Between Matthews China and PGIM Large
Can any of the company-specific risk be diversified away by investing in both Matthews China and PGIM Large 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 PGIM Large 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 PGIM Large Cap Buffer, you can compare the effects of market volatilities on Matthews China and PGIM Large 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 PGIM Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews China and PGIM Large.
Diversification Opportunities for Matthews China and PGIM Large
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Matthews and PGIM is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Discovery and PGIM Large Cap Buffer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PGIM Large Cap 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 PGIM Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PGIM Large Cap has no effect on the direction of Matthews China i.e., Matthews China and PGIM Large go up and down completely randomly.
Pair Corralation between Matthews China and PGIM Large
Given the investment horizon of 90 days Matthews China Discovery is expected to generate 3.33 times more return on investment than PGIM Large. However, Matthews China is 3.33 times more volatile than PGIM Large Cap Buffer. It trades about 0.11 of its potential returns per unit of risk. PGIM Large Cap Buffer is currently generating about -0.06 per unit of risk. If you would invest 2,574 in Matthews China Discovery on December 28, 2024 and sell it today you would earn a total of 243.00 from holding Matthews China Discovery or generate 9.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews China Discovery vs. PGIM Large Cap Buffer
Performance |
Timeline |
Matthews China Discovery |
PGIM Large Cap |
Matthews China and PGIM Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews China and PGIM Large
The main advantage of trading using opposite Matthews China and PGIM Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews China position performs unexpectedly, PGIM Large 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 PGIM Large will offset losses from the drop in PGIM Large's long position.Matthews China vs. Matthews Emerging Markets | Matthews China vs. Morgan Stanley Pathway | Matthews China vs. Neuberger Berman ETF | Matthews China vs. Fidelity Small Mid Cap |
PGIM Large vs. FT Vest Equity | PGIM Large vs. Northern Lights | PGIM Large vs. Dimensional International High | PGIM Large vs. First Trust Exchange Traded |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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