Correlation Between Flutter Entertainment and US FOODS
Can any of the company-specific risk be diversified away by investing in both Flutter Entertainment and US FOODS 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 Flutter Entertainment and US FOODS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flutter Entertainment PLC and US FOODS HOLDING, you can compare the effects of market volatilities on Flutter Entertainment and US FOODS 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 Flutter Entertainment with a short position of US FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flutter Entertainment and US FOODS.
Diversification Opportunities for Flutter Entertainment and US FOODS
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Flutter and UFH is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Flutter Entertainment PLC and US FOODS HOLDING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US FOODS HOLDING and Flutter Entertainment 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 Flutter Entertainment PLC are associated (or correlated) with US FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of US FOODS HOLDING has no effect on the direction of Flutter Entertainment i.e., Flutter Entertainment and US FOODS go up and down completely randomly.
Pair Corralation between Flutter Entertainment and US FOODS
Assuming the 90 days trading horizon Flutter Entertainment is expected to generate 1.06 times less return on investment than US FOODS. In addition to that, Flutter Entertainment is 1.47 times more volatile than US FOODS HOLDING. It trades about 0.07 of its total potential returns per unit of risk. US FOODS HOLDING is currently generating about 0.11 per unit of volatility. If you would invest 2,940 in US FOODS HOLDING on September 22, 2024 and sell it today you would earn a total of 3,510 from holding US FOODS HOLDING or generate 119.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.8% |
Values | Daily Returns |
Flutter Entertainment PLC vs. US FOODS HOLDING
Performance |
Timeline |
Flutter Entertainment PLC |
US FOODS HOLDING |
Flutter Entertainment and US FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flutter Entertainment and US FOODS
The main advantage of trading using opposite Flutter Entertainment and US FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flutter Entertainment position performs unexpectedly, US FOODS 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 US FOODS will offset losses from the drop in US FOODS's long position.Flutter Entertainment vs. Apple Inc | Flutter Entertainment vs. Apple Inc | Flutter Entertainment vs. Apple Inc | Flutter Entertainment vs. Apple Inc |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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