Correlation Between MARKET VECTR and China Resources
Can any of the company-specific risk be diversified away by investing in both MARKET VECTR and China Resources 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 MARKET VECTR and China Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MARKET VECTR RETAIL and China Resources Beer, you can compare the effects of market volatilities on MARKET VECTR and China Resources 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 MARKET VECTR with a short position of China Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of MARKET VECTR and China Resources.
Diversification Opportunities for MARKET VECTR and China Resources
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MARKET and China is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding MARKET VECTR RETAIL and China Resources Beer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Resources Beer and MARKET VECTR 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 MARKET VECTR RETAIL are associated (or correlated) with China Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Resources Beer has no effect on the direction of MARKET VECTR i.e., MARKET VECTR and China Resources go up and down completely randomly.
Pair Corralation between MARKET VECTR and China Resources
Assuming the 90 days trading horizon MARKET VECTR RETAIL is expected to generate 0.23 times more return on investment than China Resources. However, MARKET VECTR RETAIL is 4.27 times less risky than China Resources. It trades about 0.29 of its potential returns per unit of risk. China Resources Beer is currently generating about -0.18 per unit of risk. If you would invest 21,745 in MARKET VECTR RETAIL on October 26, 2024 and sell it today you would earn a total of 750.00 from holding MARKET VECTR RETAIL or generate 3.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MARKET VECTR RETAIL vs. China Resources Beer
Performance |
Timeline |
MARKET VECTR RETAIL |
China Resources Beer |
MARKET VECTR and China Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MARKET VECTR and China Resources
The main advantage of trading using opposite MARKET VECTR and China Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MARKET VECTR position performs unexpectedly, China Resources 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 China Resources will offset losses from the drop in China Resources' long position.MARKET VECTR vs. CN DATANG C | MARKET VECTR vs. The Boston Beer | MARKET VECTR vs. DATADOT TECHNOLOGY | MARKET VECTR vs. United Breweries Co |
China Resources vs. Fomento Econmico Mexicano | China Resources vs. BUDWEISER BREWUNSPADR4 | China Resources vs. Molson Coors Brewing | China Resources vs. MOLSON RS BEVERAGE |
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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