Correlation Between FinecoBank SpA and Hilton Food
Can any of the company-specific risk be diversified away by investing in both FinecoBank SpA and Hilton Food 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 FinecoBank SpA and Hilton Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FinecoBank SpA and Hilton Food Group, you can compare the effects of market volatilities on FinecoBank SpA and Hilton Food 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 FinecoBank SpA with a short position of Hilton Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of FinecoBank SpA and Hilton Food.
Diversification Opportunities for FinecoBank SpA and Hilton Food
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between FinecoBank and Hilton is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding FinecoBank SpA and Hilton Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hilton Food Group and FinecoBank SpA 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 FinecoBank SpA are associated (or correlated) with Hilton Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hilton Food Group has no effect on the direction of FinecoBank SpA i.e., FinecoBank SpA and Hilton Food go up and down completely randomly.
Pair Corralation between FinecoBank SpA and Hilton Food
Assuming the 90 days trading horizon FinecoBank SpA is expected to generate 0.74 times more return on investment than Hilton Food. However, FinecoBank SpA is 1.35 times less risky than Hilton Food. It trades about 0.24 of its potential returns per unit of risk. Hilton Food Group is currently generating about -0.03 per unit of risk. If you would invest 1,670 in FinecoBank SpA on October 11, 2024 and sell it today you would earn a total of 75.00 from holding FinecoBank SpA or generate 4.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
FinecoBank SpA vs. Hilton Food Group
Performance |
| Timeline |
| FinecoBank SpA |
| Hilton Food Group |
FinecoBank SpA and Hilton Food Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FinecoBank SpA and Hilton Food
The main advantage of trading using opposite FinecoBank SpA and Hilton Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FinecoBank SpA position performs unexpectedly, Hilton Food 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 Hilton Food will offset losses from the drop in Hilton Food's long position.| FinecoBank SpA vs. JB Hunt Transport | FinecoBank SpA vs. Teradata Corp | FinecoBank SpA vs. Automatic Data Processing | FinecoBank SpA vs. PPHE Hotel Group |
| Hilton Food vs. Ameriprise Financial | Hilton Food vs. FinecoBank SpA | Hilton Food vs. Orient Telecoms | Hilton Food vs. Cairo Communication SpA |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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