Correlation Between Algorand and MercadoLibre

Can any of the company-specific risk be diversified away by investing in both Algorand 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 Algorand and MercadoLibre into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Algorand and MercadoLibre, you can compare the effects of market volatilities on Algorand 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 Algorand with a short position of MercadoLibre. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and MercadoLibre.

Diversification Opportunities for Algorand and MercadoLibre

0.08

Correlation Coefficient

Algorand  MercadoLibre

Significant diversification

The 3 months correlation between Algorand and MercadoLibre is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and MercadoLibre in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MercadoLibre and Algorand 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 Algorand 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 Algorand i.e., Algorand and MercadoLibre go up and down completely randomly.

Pair Corralation between Algorand and MercadoLibre

Assuming the 90 days trading horizon Algorand is expected to generate 3.44 times more return on investment than MercadoLibre. However, Algorand is 3.44 times more volatile than MercadoLibre. It trades about 0.25 of its potential returns per unit of risk. MercadoLibre is currently generating about -0.03 per unit of risk. If you would invest  12.00  in Algorand on October 26, 2024 and sell it today you would earn a total of  29.00  from holding Algorand or generate 241.67% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	92.06%
Values	Daily Returns

Algorand  vs.  MercadoLibre

Algorand

Risk-Adjusted Performance

19 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Algorand exhibited solid returns over the last few months and may actually be approaching a breakup point.

MercadoLibre

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days MercadoLibre has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong essential indicators, MercadoLibre is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Algorand and MercadoLibre

The main advantage of trading using opposite Algorand and MercadoLibre positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand 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 Algorand 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.

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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.