Correlation Between Hilton Food and Flow Traders
Can any of the company-specific risk be diversified away by investing in both Hilton Food and Flow Traders 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 Hilton Food and Flow Traders into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hilton Food Group and Flow Traders NV, you can compare the effects of market volatilities on Hilton Food and Flow Traders 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 Hilton Food with a short position of Flow Traders. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hilton Food and Flow Traders.
Diversification Opportunities for Hilton Food and Flow Traders
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hilton and Flow is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Hilton Food Group and Flow Traders NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flow Traders NV and Hilton Food 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 Hilton Food Group are associated (or correlated) with Flow Traders. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flow Traders NV has no effect on the direction of Hilton Food i.e., Hilton Food and Flow Traders go up and down completely randomly.
Pair Corralation between Hilton Food and Flow Traders
Assuming the 90 days trading horizon Hilton Food is expected to generate 2.77 times less return on investment than Flow Traders. But when comparing it to its historical volatility, Hilton Food Group is 1.05 times less risky than Flow Traders. It trades about 0.07 of its potential returns per unit of risk. Flow Traders NV is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,812 in Flow Traders NV on September 12, 2024 and sell it today you would earn a total of 296.00 from holding Flow Traders NV or generate 16.34% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hilton Food Group vs. Flow Traders NV
Performance |
| Timeline |
| Hilton Food Group |
| Flow Traders NV |
Hilton Food and Flow Traders Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hilton Food and Flow Traders
The main advantage of trading using opposite Hilton Food and Flow Traders positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hilton Food position performs unexpectedly, Flow Traders 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 Flow Traders will offset losses from the drop in Flow Traders' long position.| Hilton Food vs. MTI Wireless Edge | Hilton Food vs. AcadeMedia AB | Hilton Food vs. Fonix Mobile plc | Hilton Food vs. mobilezone holding AG |
| Flow Traders vs. Coeur Mining | Flow Traders vs. Anglesey Mining | Flow Traders vs. National Beverage Corp | Flow Traders vs. Beowulf Mining |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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