Correlation Between China Resources and TV BROADCAST
Can any of the company-specific risk be diversified away by investing in both China Resources and TV BROADCAST 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 China Resources and TV BROADCAST into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Resources Beer and TV BROADCAST, you can compare the effects of market volatilities on China Resources and TV BROADCAST 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 China Resources with a short position of TV BROADCAST. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Resources and TV BROADCAST.
Diversification Opportunities for China Resources and TV BROADCAST
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between China and TBCN is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding China Resources Beer and TV BROADCAST in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TV BROADCAST and China Resources 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 China Resources Beer are associated (or correlated) with TV BROADCAST. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TV BROADCAST has no effect on the direction of China Resources i.e., China Resources and TV BROADCAST go up and down completely randomly.
Pair Corralation between China Resources and TV BROADCAST
Assuming the 90 days horizon China Resources Beer is expected to under-perform the TV BROADCAST. In addition to that, China Resources is 3.05 times more volatile than TV BROADCAST. It trades about -0.11 of its total potential returns per unit of risk. TV BROADCAST is currently generating about 0.31 per unit of volatility. If you would invest 35.00 in TV BROADCAST on April 5, 2025 and sell it today you would earn a total of 2.00 from holding TV BROADCAST or generate 5.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Resources Beer vs. TV BROADCAST
Performance |
Timeline |
China Resources Beer |
TV BROADCAST |
China Resources and TV BROADCAST Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Resources and TV BROADCAST
The main advantage of trading using opposite China Resources and TV BROADCAST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Resources position performs unexpectedly, TV BROADCAST 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 TV BROADCAST will offset losses from the drop in TV BROADCAST's long position.China Resources vs. Fomento Econmico Mexicano | China Resources vs. BUDWEISER BREWUNSPADR4 | China Resources vs. Molson Coors Brewing | China Resources vs. MOLSON RS BEVERAGE |
TV BROADCAST vs. Cal Maine Foods | TV BROADCAST vs. American Eagle Outfitters | TV BROADCAST vs. SENECA FOODS A | TV BROADCAST vs. UPDATE SOFTWARE |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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