Correlation Between Falcon Oil and Hollywood Bowl
Can any of the company-specific risk be diversified away by investing in both Falcon Oil 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 Falcon Oil and Hollywood Bowl into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Falcon Oil Gas and Hollywood Bowl Group, you can compare the effects of market volatilities on Falcon Oil 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 Falcon Oil with a short position of Hollywood Bowl. Check out your portfolio center. Please also check ongoing floating volatility patterns of Falcon Oil and Hollywood Bowl.
Diversification Opportunities for Falcon Oil and Hollywood Bowl
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Falcon and Hollywood is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Falcon Oil Gas 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 Falcon Oil 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 Falcon Oil Gas 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 Falcon Oil i.e., Falcon Oil and Hollywood Bowl go up and down completely randomly.
Pair Corralation between Falcon Oil and Hollywood Bowl
Assuming the 90 days trading horizon Falcon Oil Gas is expected to under-perform the Hollywood Bowl. In addition to that, Falcon Oil is 1.53 times more volatile than Hollywood Bowl Group. It trades about -0.18 of its total potential returns per unit of risk. Hollywood Bowl Group is currently generating about 0.01 per unit of volatility. If you would invest 32,000 in Hollywood Bowl Group on September 4, 2024 and sell it today you would earn a total of 50.00 from holding Hollywood Bowl Group or generate 0.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Falcon Oil Gas vs. Hollywood Bowl Group
Performance |
Timeline |
Falcon Oil Gas |
Hollywood Bowl Group |
Falcon Oil and Hollywood Bowl Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Falcon Oil and Hollywood Bowl
The main advantage of trading using opposite Falcon Oil and Hollywood Bowl positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Falcon Oil 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.Falcon Oil vs. Zoom Video Communications | Falcon Oil vs. Enbridge | Falcon Oil vs. Endo International PLC | Falcon Oil vs. DXC Technology Co |
Hollywood Bowl vs. Samsung Electronics Co | Hollywood Bowl vs. Samsung Electronics Co | Hollywood Bowl vs. Hyundai Motor | Hollywood Bowl vs. Toyota Motor Corp |
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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