Correlation Between Southern Copper and Alfa SAB
Can any of the company-specific risk be diversified away by investing in both Southern Copper and Alfa SAB 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 Southern Copper and Alfa SAB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Southern Copper and Alfa SAB de, you can compare the effects of market volatilities on Southern Copper and Alfa SAB 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 Southern Copper with a short position of Alfa SAB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Southern Copper and Alfa SAB.
Diversification Opportunities for Southern Copper and Alfa SAB
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Southern and Alfa is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Southern Copper and Alfa SAB de in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alfa SAB de and Southern Copper 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 Southern Copper are associated (or correlated) with Alfa SAB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alfa SAB de has no effect on the direction of Southern Copper i.e., Southern Copper and Alfa SAB go up and down completely randomly.
Pair Corralation between Southern Copper and Alfa SAB
Assuming the 90 days trading horizon Southern Copper is expected to under-perform the Alfa SAB. But the stock apears to be less risky and, when comparing its historical volatility, Southern Copper is 2.33 times less risky than Alfa SAB. The stock trades about -0.08 of its potential returns per unit of risk. The Alfa SAB de is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1,547 in Alfa SAB de on September 28, 2024 and sell it today you would lose (48.00) from holding Alfa SAB de or give up 3.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Southern Copper vs. Alfa SAB de
Performance |
Timeline |
Southern Copper |
Alfa SAB de |
Southern Copper and Alfa SAB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Southern Copper and Alfa SAB
The main advantage of trading using opposite Southern Copper and Alfa SAB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Southern Copper position performs unexpectedly, Alfa SAB 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 Alfa SAB will offset losses from the drop in Alfa SAB's long position.Southern Copper vs. Freeport McMoRan | Southern Copper vs. Bolsa Mexicana de | Southern Copper vs. ATT Inc | Southern Copper vs. Monster Beverage Corp |
Alfa SAB vs. Grupo Mxico SAB | Alfa SAB vs. Fomento Econmico Mexicano | Alfa SAB vs. CEMEX SAB de | Alfa SAB vs. Gruma SAB de |
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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