Correlation Between Sea and Par Pacific
Can any of the company-specific risk be diversified away by investing in both Sea and Par Pacific 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 Sea and Par Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sea and Par Pacific Holdings, you can compare the effects of market volatilities on Sea and Par Pacific 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 Sea with a short position of Par Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sea and Par Pacific.
Diversification Opportunities for Sea and Par Pacific
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sea and Par is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Sea and Par Pacific Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Par Pacific Holdings and Sea 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 Sea are associated (or correlated) with Par Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Par Pacific Holdings has no effect on the direction of Sea i.e., Sea and Par Pacific go up and down completely randomly.
Pair Corralation between Sea and Par Pacific
Allowing for the 90-day total investment horizon Sea is expected to generate 0.61 times more return on investment than Par Pacific. However, Sea is 1.64 times less risky than Par Pacific. It trades about -0.05 of its potential returns per unit of risk. Par Pacific Holdings is currently generating about -0.09 per unit of risk. If you would invest 11,393 in Sea on September 27, 2024 and sell it today you would lose (246.00) from holding Sea or give up 2.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sea vs. Par Pacific Holdings
Performance |
Timeline |
Sea |
Par Pacific Holdings |
Sea and Par Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sea and Par Pacific
The main advantage of trading using opposite Sea and Par Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sea position performs unexpectedly, Par Pacific 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 Par Pacific will offset losses from the drop in Par Pacific's long position.The idea behind Sea and Par Pacific Holdings pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Par Pacific vs. Delek Logistics Partners | Par Pacific vs. CVR Energy | Par Pacific vs. PBF Energy | Par Pacific vs. HF Sinclair 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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