Correlation Between Matthews Asian and Matthews Pacific
Can any of the company-specific risk be diversified away by investing in both Matthews Asian and Matthews Pacific 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 Asian and Matthews Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews Asian Growth and Matthews Pacific Tiger, you can compare the effects of market volatilities on Matthews Asian and Matthews Pacific 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 Asian with a short position of Matthews Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews Asian and Matthews Pacific.
Diversification Opportunities for Matthews Asian and Matthews Pacific
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Matthews and Matthews is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Matthews Asian Growth and Matthews Pacific Tiger in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews Pacific Tiger and Matthews Asian 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 Asian Growth are associated (or correlated) with Matthews Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matthews Pacific Tiger has no effect on the direction of Matthews Asian i.e., Matthews Asian and Matthews Pacific go up and down completely randomly.
Pair Corralation between Matthews Asian and Matthews Pacific
Assuming the 90 days horizon Matthews Asian Growth is expected to generate 0.78 times more return on investment than Matthews Pacific. However, Matthews Asian Growth is 1.29 times less risky than Matthews Pacific. It trades about 0.09 of its potential returns per unit of risk. Matthews Pacific Tiger is currently generating about 0.05 per unit of risk. If you would invest 1,318 in Matthews Asian Growth on September 12, 2024 and sell it today you would earn a total of 68.00 from holding Matthews Asian Growth or generate 5.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews Asian Growth vs. Matthews Pacific Tiger
Performance |
Timeline |
Matthews Asian Growth |
Matthews Pacific Tiger |
Matthews Asian and Matthews Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews Asian and Matthews Pacific
The main advantage of trading using opposite Matthews Asian and Matthews Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews Asian position performs unexpectedly, Matthews Pacific 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 Pacific will offset losses from the drop in Matthews Pacific's long position.Matthews Asian vs. Invesco Gold Special | Matthews Asian vs. Great West Goldman Sachs | Matthews Asian vs. Gamco Global Gold | Matthews Asian vs. Gabelli Gold Fund |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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