Correlation Between HF Sinclair and Stifel Financial
Can any of the company-specific risk be diversified away by investing in both HF Sinclair and Stifel Financial 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 HF Sinclair and Stifel Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HF Sinclair Corp and Stifel Financial, you can compare the effects of market volatilities on HF Sinclair and Stifel Financial 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 HF Sinclair with a short position of Stifel Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of HF Sinclair and Stifel Financial.
Diversification Opportunities for HF Sinclair and Stifel Financial
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DINO and Stifel is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding HF Sinclair Corp and Stifel Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stifel Financial and HF Sinclair 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 HF Sinclair Corp are associated (or correlated) with Stifel Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stifel Financial has no effect on the direction of HF Sinclair i.e., HF Sinclair and Stifel Financial go up and down completely randomly.
Pair Corralation between HF Sinclair and Stifel Financial
Given the investment horizon of 90 days HF Sinclair Corp is expected to under-perform the Stifel Financial. In addition to that, HF Sinclair is 3.2 times more volatile than Stifel Financial. It trades about -0.09 of its total potential returns per unit of risk. Stifel Financial is currently generating about -0.07 per unit of volatility. If you would invest 2,287 in Stifel Financial on August 31, 2024 and sell it today you would lose (73.00) from holding Stifel Financial or give up 3.19% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
HF Sinclair Corp vs. Stifel Financial
Performance |
| Timeline |
| HF Sinclair Corp |
| Stifel Financial |
HF Sinclair and Stifel Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with HF Sinclair and Stifel Financial
The main advantage of trading using opposite HF Sinclair and Stifel Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HF Sinclair position performs unexpectedly, Stifel Financial 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 Stifel Financial will offset losses from the drop in Stifel Financial's long position.| HF Sinclair vs. Delek Logistics Partners | HF Sinclair vs. PBF Energy | HF Sinclair vs. Par Pacific Holdings | HF Sinclair vs. Delek Energy |
| Stifel Financial vs. Reinsurance Group of | Stifel Financial vs. Southern Co | Stifel Financial vs. DTE Energy Co | Stifel Financial vs. Georgia Power Co |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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