Correlation Between Southern Copper and SPBVL Peru

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

By analyzing existing cross correlation between Southern Copper Corp and SPBVL Peru General, you can compare the effects of market volatilities on Southern Copper and SPBVL Peru 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 SPBVL Peru. Check out your portfolio center. Please also check ongoing floating volatility patterns of Southern Copper and SPBVL Peru.

Diversification Opportunities for Southern Copper and SPBVL Peru

0.6

Correlation Coefficient

Southern Copper  SPBVL Peru

Poor diversification

The 3 months correlation between Southern and SPBVL is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Southern Copper Corp and SPBVL Peru General in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPBVL Peru General 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 Corp are associated (or correlated) with SPBVL Peru. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPBVL Peru General has no effect on the direction of Southern Copper i.e., Southern Copper and SPBVL Peru go up and down completely randomly.

Pair Corralation between Southern Copper and SPBVL Peru

Assuming the 90 days trading horizon Southern Copper Corp is expected to generate 2.8 times more return on investment than SPBVL Peru. However, Southern Copper is 2.8 times more volatile than SPBVL Peru General. It trades about 0.04 of its potential returns per unit of risk. SPBVL Peru General is currently generating about 0.09 per unit of risk. If you would invest  9,650  in Southern Copper Corp on August 30, 2024 and sell it today you would earn a total of  350.00  from holding Southern Copper Corp or generate 3.63% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	95.08%
Values	Daily Returns

Southern Copper Corp  vs.  SPBVL Peru General

Pair Trading with Southern Copper and SPBVL Peru

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

The idea behind Southern Copper Corp and SPBVL Peru General 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.