Correlation Between Chia and MercadoLibre
Can any of the company-specific risk be diversified away by investing in both Chia and MercadoLibre 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 Chia and MercadoLibre into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chia and MercadoLibre, you can compare the effects of market volatilities on Chia and MercadoLibre 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 Chia with a short position of MercadoLibre. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chia and MercadoLibre.
Diversification Opportunities for Chia and MercadoLibre
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Chia and MercadoLibre is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Chia and MercadoLibre in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MercadoLibre and Chia 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 Chia are associated (or correlated) with MercadoLibre. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MercadoLibre has no effect on the direction of Chia i.e., Chia and MercadoLibre go up and down completely randomly.
Pair Corralation between Chia and MercadoLibre
Assuming the 90 days trading horizon Chia is expected to under-perform the MercadoLibre. In addition to that, Chia is 2.45 times more volatile than MercadoLibre. It trades about -0.02 of its total potential returns per unit of risk. MercadoLibre is currently generating about 0.07 per unit of volatility. If you would invest 4,739 in MercadoLibre on October 11, 2024 and sell it today you would earn a total of 4,070 from holding MercadoLibre or generate 85.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 59.88% |
Values | Daily Returns |
Chia vs. MercadoLibre
Performance |
Timeline |
Chia |
MercadoLibre |
Chia and MercadoLibre Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chia and MercadoLibre
The main advantage of trading using opposite Chia and MercadoLibre positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chia position performs unexpectedly, MercadoLibre 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 MercadoLibre will offset losses from the drop in MercadoLibre's long position.The idea behind Chia and MercadoLibre 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.MercadoLibre vs. Autohome | MercadoLibre vs. Vulcan Materials | MercadoLibre vs. Clover Health Investments, | MercadoLibre vs. G2D Investments |
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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