Correlation Between CanSino Biologics and Meli Hotels
Can any of the company-specific risk be diversified away by investing in both CanSino Biologics and Meli Hotels 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 CanSino Biologics and Meli Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CanSino Biologics and Meli Hotels International, you can compare the effects of market volatilities on CanSino Biologics and Meli Hotels 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 CanSino Biologics with a short position of Meli Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of CanSino Biologics and Meli Hotels.
Diversification Opportunities for CanSino Biologics and Meli Hotels
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CanSino and Meli is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding CanSino Biologics and Meli Hotels International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meli Hotels International and CanSino Biologics 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 CanSino Biologics are associated (or correlated) with Meli Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meli Hotels International has no effect on the direction of CanSino Biologics i.e., CanSino Biologics and Meli Hotels go up and down completely randomly.
Pair Corralation between CanSino Biologics and Meli Hotels
Assuming the 90 days trading horizon CanSino Biologics is expected to generate 3.57 times more return on investment than Meli Hotels. However, CanSino Biologics is 3.57 times more volatile than Meli Hotels International. It trades about 0.19 of its potential returns per unit of risk. Meli Hotels International is currently generating about 0.08 per unit of risk. If you would invest 232.00 in CanSino Biologics on September 13, 2024 and sell it today you would earn a total of 170.00 from holding CanSino Biologics or generate 73.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CanSino Biologics vs. Meli Hotels International
Performance |
Timeline |
CanSino Biologics |
Meli Hotels International |
CanSino Biologics and Meli Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CanSino Biologics and Meli Hotels
The main advantage of trading using opposite CanSino Biologics and Meli Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CanSino Biologics position performs unexpectedly, Meli Hotels 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 Meli Hotels will offset losses from the drop in Meli Hotels' long position.CanSino Biologics vs. KOOL2PLAY SA ZY | CanSino Biologics vs. GigaMedia | CanSino Biologics vs. EAST SIDE GAMES | CanSino Biologics vs. Playa Hotels Resorts |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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