Correlation Between Salvatore Ferragamo and Prada SpA
Can any of the company-specific risk be diversified away by investing in both Salvatore Ferragamo and Prada SpA 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 Salvatore Ferragamo and Prada SpA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Salvatore Ferragamo SpA and Prada SpA, you can compare the effects of market volatilities on Salvatore Ferragamo and Prada SpA 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 Salvatore Ferragamo with a short position of Prada SpA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salvatore Ferragamo and Prada SpA.
Diversification Opportunities for Salvatore Ferragamo and Prada SpA
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Salvatore and Prada is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Salvatore Ferragamo SpA and Prada SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prada SpA and Salvatore Ferragamo 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 Salvatore Ferragamo SpA are associated (or correlated) with Prada SpA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prada SpA has no effect on the direction of Salvatore Ferragamo i.e., Salvatore Ferragamo and Prada SpA go up and down completely randomly.
Pair Corralation between Salvatore Ferragamo and Prada SpA
Assuming the 90 days horizon Salvatore Ferragamo SpA is expected to generate 0.98 times more return on investment than Prada SpA. However, Salvatore Ferragamo SpA is 1.02 times less risky than Prada SpA. It trades about 0.0 of its potential returns per unit of risk. Prada SpA is currently generating about -0.02 per unit of risk. If you would invest 351.00 in Salvatore Ferragamo SpA on December 30, 2024 and sell it today you would lose (13.00) from holding Salvatore Ferragamo SpA or give up 3.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Salvatore Ferragamo SpA vs. Prada SpA
Performance |
Timeline |
Salvatore Ferragamo SpA |
Prada SpA |
Salvatore Ferragamo and Prada SpA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Salvatore Ferragamo and Prada SpA
The main advantage of trading using opposite Salvatore Ferragamo and Prada SpA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salvatore Ferragamo position performs unexpectedly, Prada SpA 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 Prada SpA will offset losses from the drop in Prada SpA's long position.Salvatore Ferragamo vs. Compagnie Financiere Richemont | Salvatore Ferragamo vs. Swatch Group AG | Salvatore Ferragamo vs. Christian Dior SE | Salvatore Ferragamo vs. Prada Spa PK |
Prada SpA vs. Compagnie Financiere Richemont | Prada SpA vs. Kering SA | Prada SpA vs. Burberry Group Plc | Prada SpA vs. Swatch Group AG |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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