Correlation Between Neometals and Hollywood Bowl
Can any of the company-specific risk be diversified away by investing in both Neometals and Hollywood Bowl 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 Neometals and Hollywood Bowl into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neometals and Hollywood Bowl Group, you can compare the effects of market volatilities on Neometals and Hollywood Bowl 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 Neometals with a short position of Hollywood Bowl. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neometals and Hollywood Bowl.
Diversification Opportunities for Neometals and Hollywood Bowl
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Neometals and Hollywood is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Neometals and Hollywood Bowl Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hollywood Bowl Group and Neometals 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 Neometals are associated (or correlated) with Hollywood Bowl. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hollywood Bowl Group has no effect on the direction of Neometals i.e., Neometals and Hollywood Bowl go up and down completely randomly.
Pair Corralation between Neometals and Hollywood Bowl
Assuming the 90 days trading horizon Neometals is expected to under-perform the Hollywood Bowl. In addition to that, Neometals is 5.61 times more volatile than Hollywood Bowl Group. It trades about -0.11 of its total potential returns per unit of risk. Hollywood Bowl Group is currently generating about -0.03 per unit of volatility. If you would invest 27,409 in Hollywood Bowl Group on November 27, 2024 and sell it today you would lose (309.00) from holding Hollywood Bowl Group or give up 1.13% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 28.57% |
| Values | Daily Returns |
Neometals vs. Hollywood Bowl Group
Performance |
| Timeline |
| Neometals |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
| Hollywood Bowl Group |
Neometals and Hollywood Bowl Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Neometals and Hollywood Bowl
The main advantage of trading using opposite Neometals and Hollywood Bowl positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neometals position performs unexpectedly, Hollywood Bowl 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 Hollywood Bowl will offset losses from the drop in Hollywood Bowl's long position.| Neometals vs. Eastinco Mining Exploration | Neometals vs. Griffin Mining | Neometals vs. Endeavour Mining Corp | Neometals vs. Gamma Communications PLC |
| Hollywood Bowl vs. Westlake Chemical Corp | Hollywood Bowl vs. Zurich Insurance Group | Hollywood Bowl vs. Bank of Ireland | Hollywood Bowl vs. UNIQA Insurance Group |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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