Correlation Between US FOODS and PETROSEA
Can any of the company-specific risk be diversified away by investing in both US FOODS and PETROSEA 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 US FOODS and PETROSEA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US FOODS HOLDING and PETROSEA, you can compare the effects of market volatilities on US FOODS and PETROSEA 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 US FOODS with a short position of PETROSEA. Check out your portfolio center. Please also check ongoing floating volatility patterns of US FOODS and PETROSEA.
Diversification Opportunities for US FOODS and PETROSEA
Very poor diversification
The 3 months correlation between UFH and PETROSEA is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding US FOODS HOLDING and PETROSEA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PETROSEA and US FOODS 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 US FOODS HOLDING are associated (or correlated) with PETROSEA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PETROSEA has no effect on the direction of US FOODS i.e., US FOODS and PETROSEA go up and down completely randomly.
Pair Corralation between US FOODS and PETROSEA
Assuming the 90 days trading horizon US FOODS HOLDING is expected to under-perform the PETROSEA. But the stock apears to be less risky and, when comparing its historical volatility, US FOODS HOLDING is 4.13 times less risky than PETROSEA. The stock trades about -0.1 of its potential returns per unit of risk. The PETROSEA is currently generating about 0.49 of returns per unit of risk over similar time horizon. If you would invest 109.00 in PETROSEA on September 29, 2024 and sell it today you would earn a total of 56.00 from holding PETROSEA or generate 51.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
US FOODS HOLDING vs. PETROSEA
Performance |
Timeline |
US FOODS HOLDING |
PETROSEA |
US FOODS and PETROSEA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US FOODS and PETROSEA
The main advantage of trading using opposite US FOODS and PETROSEA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US FOODS position performs unexpectedly, PETROSEA 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 PETROSEA will offset losses from the drop in PETROSEA's long position.The idea behind US FOODS HOLDING and PETROSEA 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.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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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