Correlation Between National CineMedia and HF Sinclair
Can any of the company-specific risk be diversified away by investing in both National CineMedia and HF Sinclair 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 National CineMedia and HF Sinclair into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National CineMedia and HF Sinclair Corp, you can compare the effects of market volatilities on National CineMedia and HF Sinclair 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 National CineMedia with a short position of HF Sinclair. Check out your portfolio center. Please also check ongoing floating volatility patterns of National CineMedia and HF Sinclair.
Diversification Opportunities for National CineMedia and HF Sinclair
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between National and DINO is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding National CineMedia and HF Sinclair Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HF Sinclair Corp and National CineMedia 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 National CineMedia are associated (or correlated) with HF Sinclair. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HF Sinclair Corp has no effect on the direction of National CineMedia i.e., National CineMedia and HF Sinclair go up and down completely randomly.
Pair Corralation between National CineMedia and HF Sinclair
Given the investment horizon of 90 days National CineMedia is expected to generate 0.48 times more return on investment than HF Sinclair. However, National CineMedia is 2.07 times less risky than HF Sinclair. It trades about -0.03 of its potential returns per unit of risk. HF Sinclair Corp is currently generating about -0.1 per unit of risk. If you would invest 677.00 in National CineMedia on December 4, 2024 and sell it today you would lose (8.00) from holding National CineMedia or give up 1.18% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
National CineMedia vs. HF Sinclair Corp
Performance |
| Timeline |
| National CineMedia |
| HF Sinclair Corp |
National CineMedia and HF Sinclair Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with National CineMedia and HF Sinclair
The main advantage of trading using opposite National CineMedia and HF Sinclair positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National CineMedia position performs unexpectedly, HF Sinclair 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 HF Sinclair will offset losses from the drop in HF Sinclair's long position.| National CineMedia vs. Baosheng Media Group | National CineMedia vs. Impact Fusion International | National CineMedia vs. ZW Data Action |
| HF Sinclair vs. Delek Energy | HF Sinclair vs. CVR Energy | HF Sinclair vs. Valero Energy | HF Sinclair vs. Marathon Petroleum 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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