Correlation Between Meli Hotels and Samsung SDI
Can any of the company-specific risk be diversified away by investing in both Meli Hotels and Samsung SDI 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 Samsung SDI 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 Samsung SDI Co, you can compare the effects of market volatilities on Meli Hotels and Samsung SDI 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 Samsung SDI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meli Hotels and Samsung SDI.
Diversification Opportunities for Meli Hotels and Samsung SDI
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Meli and Samsung is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Meli Hotels International and Samsung SDI Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung SDI 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 Samsung SDI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung SDI has no effect on the direction of Meli Hotels i.e., Meli Hotels and Samsung SDI go up and down completely randomly.
Pair Corralation between Meli Hotels and Samsung SDI
Assuming the 90 days horizon Meli Hotels International is expected to generate 0.48 times more return on investment than Samsung SDI. However, Meli Hotels International is 2.07 times less risky than Samsung SDI. It trades about 0.03 of its potential returns per unit of risk. Samsung SDI Co is currently generating about -0.17 per unit of risk. If you would invest 654.00 in Meli Hotels International on September 3, 2024 and sell it today you would earn a total of 17.00 from holding Meli Hotels International or generate 2.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Meli Hotels International vs. Samsung SDI Co
Performance |
Timeline |
Meli Hotels International |
Samsung SDI |
Meli Hotels and Samsung SDI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meli Hotels and Samsung SDI
The main advantage of trading using opposite Meli Hotels and Samsung SDI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meli Hotels position performs unexpectedly, Samsung SDI 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 Samsung SDI will offset losses from the drop in Samsung SDI's long position.Meli Hotels vs. Hilton Worldwide Holdings | Meli Hotels vs. Hyatt Hotels | Meli Hotels vs. InterContinental Hotels Group | Meli Hotels vs. INTERCONT HOTELS |
Samsung SDI vs. Meli Hotels International | Samsung SDI vs. HYATT HOTELS A | Samsung SDI vs. MELIA HOTELS | Samsung SDI vs. SALESFORCE INC CDR |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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