Correlation Between PLAYMATES TOYS and Poste Italiane
Can any of the company-specific risk be diversified away by investing in both PLAYMATES TOYS and Poste Italiane 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 PLAYMATES TOYS and Poste Italiane into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PLAYMATES TOYS and Poste Italiane SpA, you can compare the effects of market volatilities on PLAYMATES TOYS and Poste Italiane 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 PLAYMATES TOYS with a short position of Poste Italiane. Check out your portfolio center. Please also check ongoing floating volatility patterns of PLAYMATES TOYS and Poste Italiane.
Diversification Opportunities for PLAYMATES TOYS and Poste Italiane
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between PLAYMATES and Poste is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding PLAYMATES TOYS and Poste Italiane SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Poste Italiane SpA and PLAYMATES TOYS 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 PLAYMATES TOYS are associated (or correlated) with Poste Italiane. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Poste Italiane SpA has no effect on the direction of PLAYMATES TOYS i.e., PLAYMATES TOYS and Poste Italiane go up and down completely randomly.
Pair Corralation between PLAYMATES TOYS and Poste Italiane
Assuming the 90 days trading horizon PLAYMATES TOYS is expected to generate 5.02 times more return on investment than Poste Italiane. However, PLAYMATES TOYS is 5.02 times more volatile than Poste Italiane SpA. It trades about 0.08 of its potential returns per unit of risk. Poste Italiane SpA is currently generating about 0.1 per unit of risk. If you would invest 1.20 in PLAYMATES TOYS on September 14, 2024 and sell it today you would earn a total of 5.40 from holding PLAYMATES TOYS or generate 450.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PLAYMATES TOYS vs. Poste Italiane SpA
Performance |
Timeline |
PLAYMATES TOYS |
Poste Italiane SpA |
PLAYMATES TOYS and Poste Italiane Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PLAYMATES TOYS and Poste Italiane
The main advantage of trading using opposite PLAYMATES TOYS and Poste Italiane positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PLAYMATES TOYS position performs unexpectedly, Poste Italiane 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 Poste Italiane will offset losses from the drop in Poste Italiane's long position.PLAYMATES TOYS vs. GALENA MINING LTD | PLAYMATES TOYS vs. LION ONE METALS | PLAYMATES TOYS vs. ASSOC BR FOODS | PLAYMATES TOYS vs. TYSON FOODS A |
Poste Italiane vs. PLAYMATES TOYS | Poste Italiane vs. TRADEDOUBLER AB SK | Poste Italiane vs. ePlay Digital | Poste Italiane vs. Playtech plc |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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