Correlation Between Matthews China and Via Renewables
Can any of the company-specific risk be diversified away by investing in both Matthews China and Via Renewables 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 Via Renewables into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews China Fund and Via Renewables, you can compare the effects of market volatilities on Matthews China and Via Renewables 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 Via Renewables. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews China and Via Renewables.
Diversification Opportunities for Matthews China and Via Renewables
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Matthews and Via is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Matthews China Fund and Via Renewables in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Via Renewables 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 Fund are associated (or correlated) with Via Renewables. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Via Renewables has no effect on the direction of Matthews China i.e., Matthews China and Via Renewables go up and down completely randomly.
Pair Corralation between Matthews China and Via Renewables
Assuming the 90 days horizon Matthews China Fund is expected to generate 2.41 times more return on investment than Via Renewables. However, Matthews China is 2.41 times more volatile than Via Renewables. It trades about 0.11 of its potential returns per unit of risk. Via Renewables is currently generating about 0.13 per unit of risk. If you would invest 1,349 in Matthews China Fund on December 29, 2024 and sell it today you would earn a total of 141.00 from holding Matthews China Fund or generate 10.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews China Fund vs. Via Renewables
Performance |
Timeline |
Matthews China |
Via Renewables |
Matthews China and Via Renewables Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews China and Via Renewables
The main advantage of trading using opposite Matthews China and Via Renewables positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews China position performs unexpectedly, Via Renewables 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 Via Renewables will offset losses from the drop in Via Renewables' long position.Matthews China vs. Matthews India Fund | Matthews China vs. Matthews Pacific Tiger | Matthews China vs. Guinness Atkinson China | Matthews China vs. Oberweis China Opportunities |
Via Renewables vs. CMS Energy | Via Renewables vs. ACRES Commercial Realty | Via Renewables vs. Atlanticus Holdings Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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