Correlation Between Hollywood Bowl and Ping An
Can any of the company-specific risk be diversified away by investing in both Hollywood Bowl and Ping An 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 Hollywood Bowl and Ping An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hollywood Bowl Group and Ping An Insurance, you can compare the effects of market volatilities on Hollywood Bowl and Ping An 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 Hollywood Bowl with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hollywood Bowl and Ping An.
Diversification Opportunities for Hollywood Bowl and Ping An
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hollywood and Ping is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Hollywood Bowl Group and Ping An Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ping An Insurance and Hollywood Bowl 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 Hollywood Bowl Group are associated (or correlated) with Ping An. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ping An Insurance has no effect on the direction of Hollywood Bowl i.e., Hollywood Bowl and Ping An go up and down completely randomly.
Pair Corralation between Hollywood Bowl and Ping An
Assuming the 90 days horizon Hollywood Bowl Group is expected to under-perform the Ping An. In addition to that, Hollywood Bowl is 1.24 times more volatile than Ping An Insurance. It trades about -0.23 of its total potential returns per unit of risk. Ping An Insurance is currently generating about -0.23 per unit of volatility. If you would invest 568.00 in Ping An Insurance on October 24, 2024 and sell it today you would lose (39.00) from holding Ping An Insurance or give up 6.87% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hollywood Bowl Group vs. Ping An Insurance
Performance |
| Timeline |
| Hollywood Bowl Group |
| Ping An Insurance |
Hollywood Bowl and Ping An Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hollywood Bowl and Ping An
The main advantage of trading using opposite Hollywood Bowl and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hollywood Bowl position performs unexpectedly, Ping An 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 Ping An will offset losses from the drop in Ping An's long position.| Hollywood Bowl vs. SIERRA METALS | Hollywood Bowl vs. Tencent Music Entertainment | Hollywood Bowl vs. Fuji Media Holdings | Hollywood Bowl vs. ANTA SPORTS PRODUCT |
| Ping An vs. Sterling Construction | Ping An vs. Park Hotels Resorts | Ping An vs. North American Construction | Ping An vs. Sumitomo Mitsui Construction |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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