Correlation Between SPBVL Peru and Bank of America

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

By analyzing existing cross correlation between SPBVL Peru General and Bank of America, you can compare the effects of market volatilities on SPBVL Peru and Bank of America 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 SPBVL Peru with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPBVL Peru and Bank of America.

Diversification Opportunities for SPBVL Peru and Bank of America

-0.06

Correlation Coefficient

SPBVL Peru  Bank of America

Good diversification

The 3 months correlation between SPBVL and Bank is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding SPBVL Peru General and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of America and SPBVL Peru 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 SPBVL Peru General are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of America has no effect on the direction of SPBVL Peru i.e., SPBVL Peru and Bank of America go up and down completely randomly.

Pair Corralation between SPBVL Peru and Bank of America

Assuming the 90 days trading horizon SPBVL Peru General is expected to generate 0.31 times more return on investment than Bank of America. However, SPBVL Peru General is 3.23 times less risky than Bank of America. It trades about 0.11 of its potential returns per unit of risk. Bank of America is currently generating about -0.04 per unit of risk. If you would invest  2,903,996  in SPBVL Peru General on December 23, 2024 and sell it today you would earn a total of  132,319  from holding SPBVL Peru General or generate 4.56% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	64.06%
Values	Daily Returns

SPBVL Peru General  vs.  Bank of America

Pair Trading with SPBVL Peru and Bank of America

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

The idea behind SPBVL Peru General and Bank of America 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.