Correlation Between Meli Hotels and Meta Financial
Can any of the company-specific risk be diversified away by investing in both Meli Hotels and Meta Financial 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 Meli Hotels and Meta Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meli Hotels International and Meta Financial Group, you can compare the effects of market volatilities on Meli Hotels and Meta Financial 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 Meli Hotels with a short position of Meta Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meli Hotels and Meta Financial.
Diversification Opportunities for Meli Hotels and Meta Financial
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Meli and Meta is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Meli Hotels International and Meta Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Financial Group and Meli Hotels 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 Meli Hotels International are associated (or correlated) with Meta Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meta Financial Group has no effect on the direction of Meli Hotels i.e., Meli Hotels and Meta Financial go up and down completely randomly.
Pair Corralation between Meli Hotels and Meta Financial
Assuming the 90 days horizon Meli Hotels International is expected to under-perform the Meta Financial. In addition to that, Meli Hotels is 1.0 times more volatile than Meta Financial Group. It trades about -0.09 of its total potential returns per unit of risk. Meta Financial Group is currently generating about -0.06 per unit of volatility. If you would invest 7,095 in Meta Financial Group on December 22, 2024 and sell it today you would lose (495.00) from holding Meta Financial Group or give up 6.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Meli Hotels International vs. Meta Financial Group
Performance |
Timeline |
Meli Hotels International |
Meta Financial Group |
Meli Hotels and Meta Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meli Hotels and Meta Financial
The main advantage of trading using opposite Meli Hotels and Meta Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meli Hotels position performs unexpectedly, Meta Financial 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 Meta Financial will offset losses from the drop in Meta Financial's long position.Meli Hotels vs. INTER CARS SA | Meli Hotels vs. SINGAPORE AIRLINES | Meli Hotels vs. SOUTHWEST AIRLINES | Meli Hotels vs. SOLSTAD OFFSHORE NK |
Meta Financial vs. EHEALTH | Meta Financial vs. ARDAGH METAL PACDL 0001 | Meta Financial vs. EPSILON HEALTHCARE LTD | Meta Financial vs. UNITED UTILITIES GR |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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