Correlation Between Airbnb and Mliuz SA

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

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

Diversification Opportunities for Airbnb and Mliuz SA

-0.01

Correlation Coefficient

Airbnb  Mliuz SA

Good diversification

The 3 months correlation between Airbnb and Mliuz is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Airbnb Inc and Mliuz SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mliuz SA and Airbnb 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 Airbnb Inc are associated (or correlated) with Mliuz SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mliuz SA has no effect on the direction of Airbnb i.e., Airbnb and Mliuz SA go up and down completely randomly.

Pair Corralation between Airbnb and Mliuz SA

Assuming the 90 days trading horizon Airbnb Inc is expected to generate 0.79 times more return on investment than Mliuz SA. However, Airbnb Inc is 1.27 times less risky than Mliuz SA. It trades about 0.17 of its potential returns per unit of risk. Mliuz SA is currently generating about 0.1 per unit of risk. If you would invest  4,115  in Airbnb Inc on November 19, 2024 and sell it today you would earn a total of  487.00  from holding Airbnb Inc or generate 11.83% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	95.45%
Values	Daily Returns

Airbnb Inc  vs.  Mliuz SA

Airbnb Inc

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Airbnb Inc are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Airbnb sustained solid returns over the last few months and may actually be approaching a breakup point.

Mliuz SA

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Mliuz SA are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable basic indicators, Mliuz SA is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Airbnb and Mliuz SA

The main advantage of trading using opposite Airbnb and Mliuz SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Airbnb position performs unexpectedly, Mliuz SA 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 Mliuz SA will offset losses from the drop in Mliuz SA's long position.

The idea behind Airbnb Inc and Mliuz SA 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.