Correlation Between Li Auto and Piaggio C
Can any of the company-specific risk be diversified away by investing in both Li Auto and Piaggio C 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 Li Auto and Piaggio C into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Auto and Piaggio C SpA, you can compare the effects of market volatilities on Li Auto and Piaggio C 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 Li Auto with a short position of Piaggio C. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Auto and Piaggio C.
Diversification Opportunities for Li Auto and Piaggio C
Weak diversification
The 3 months correlation between Li Auto and Piaggio is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Li Auto and Piaggio C SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Piaggio C SpA and Li Auto 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 Li Auto are associated (or correlated) with Piaggio C. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Piaggio C SpA has no effect on the direction of Li Auto i.e., Li Auto and Piaggio C go up and down completely randomly.
Pair Corralation between Li Auto and Piaggio C
Allowing for the 90-day total investment horizon Li Auto is expected to generate 0.63 times more return on investment than Piaggio C. However, Li Auto is 1.59 times less risky than Piaggio C. It trades about -0.06 of its potential returns per unit of risk. Piaggio C SpA is currently generating about -0.04 per unit of risk. If you would invest 2,335 in Li Auto on October 20, 2024 and sell it today you would lose (76.00) from holding Li Auto or give up 3.25% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Li Auto vs. Piaggio C SpA
Performance |
| Timeline |
| Li Auto |
| Piaggio C SpA |
Li Auto and Piaggio C Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Li Auto and Piaggio C
The main advantage of trading using opposite Li Auto and Piaggio C positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Auto position performs unexpectedly, Piaggio C 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 Piaggio C will offset losses from the drop in Piaggio C's long position.The idea behind Li Auto and Piaggio C SpA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Piaggio C vs. Isuzu Motors | Piaggio C vs. Honda Motor Co | Piaggio C vs. Porsche Automobil Holding | Piaggio C vs. Mazda Motor Corp |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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