Correlation Between Pernod Ricard and ITALIAN WINE
Can any of the company-specific risk be diversified away by investing in both Pernod Ricard and ITALIAN WINE 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 Pernod Ricard and ITALIAN WINE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pernod Ricard SA and ITALIAN WINE BRANDS, you can compare the effects of market volatilities on Pernod Ricard and ITALIAN WINE 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 Pernod Ricard with a short position of ITALIAN WINE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pernod Ricard and ITALIAN WINE.
Diversification Opportunities for Pernod Ricard and ITALIAN WINE
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pernod and ITALIAN is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Pernod Ricard SA and ITALIAN WINE BRANDS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ITALIAN WINE BRANDS and Pernod Ricard 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 Pernod Ricard SA are associated (or correlated) with ITALIAN WINE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ITALIAN WINE BRANDS has no effect on the direction of Pernod Ricard i.e., Pernod Ricard and ITALIAN WINE go up and down completely randomly.
Pair Corralation between Pernod Ricard and ITALIAN WINE
Assuming the 90 days trading horizon Pernod Ricard SA is expected to generate 2.22 times more return on investment than ITALIAN WINE. However, Pernod Ricard is 2.22 times more volatile than ITALIAN WINE BRANDS. It trades about 0.03 of its potential returns per unit of risk. ITALIAN WINE BRANDS is currently generating about 0.0 per unit of risk. If you would invest 10,710 in Pernod Ricard SA on September 25, 2024 and sell it today you would earn a total of 60.00 from holding Pernod Ricard SA or generate 0.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pernod Ricard SA vs. ITALIAN WINE BRANDS
Performance |
Timeline |
Pernod Ricard SA |
ITALIAN WINE BRANDS |
Pernod Ricard and ITALIAN WINE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pernod Ricard and ITALIAN WINE
The main advantage of trading using opposite Pernod Ricard and ITALIAN WINE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pernod Ricard position performs unexpectedly, ITALIAN WINE 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 ITALIAN WINE will offset losses from the drop in ITALIAN WINE's long position.Pernod Ricard vs. Diageo plc | Pernod Ricard vs. Hawesko Holding AG | Pernod Ricard vs. ANDREW PELLER LTD | Pernod Ricard vs. NAKED WINES PLC |
ITALIAN WINE vs. Diageo plc | ITALIAN WINE vs. Pernod Ricard SA | ITALIAN WINE vs. Hawesko Holding AG | ITALIAN WINE vs. ANDREW PELLER LTD |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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