Correlation Between FT Cboe and Matthews China
Can any of the company-specific risk be diversified away by investing in both FT Cboe and Matthews China 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 FT Cboe and Matthews China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FT Cboe Vest and Matthews China Discovery, you can compare the effects of market volatilities on FT Cboe and Matthews China 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 FT Cboe with a short position of Matthews China. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and Matthews China.
Diversification Opportunities for FT Cboe and Matthews China
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between DJUN and Matthews is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and Matthews China Discovery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthews China Discovery and FT Cboe 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 FT Cboe Vest are associated (or correlated) with Matthews China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matthews China Discovery has no effect on the direction of FT Cboe i.e., FT Cboe and Matthews China go up and down completely randomly.
Pair Corralation between FT Cboe and Matthews China
Given the investment horizon of 90 days FT Cboe is expected to generate 2.86 times less return on investment than Matthews China. But when comparing it to its historical volatility, FT Cboe Vest is 7.67 times less risky than Matthews China. It trades about 0.22 of its potential returns per unit of risk. Matthews China Discovery is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,379 in Matthews China Discovery on September 2, 2024 and sell it today you would earn a total of 322.00 from holding Matthews China Discovery or generate 13.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FT Cboe Vest vs. Matthews China Discovery
Performance |
Timeline |
FT Cboe Vest |
Matthews China Discovery |
FT Cboe and Matthews China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FT Cboe and Matthews China
The main advantage of trading using opposite FT Cboe and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe position performs unexpectedly, Matthews China 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 China will offset losses from the drop in Matthews China's long position.FT Cboe vs. First Trust Exchange Traded | FT Cboe vs. FT Cboe Vest | FT Cboe vs. FT Cboe Vest | FT Cboe vs. FT Cboe Vest |
Matthews China vs. FT Vest Equity | Matthews China vs. Northern Lights | Matthews China vs. Dimensional International High | Matthews China vs. Davis Select International |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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