Correlation Between GM and BANCO

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Can any of the company-specific risk be diversified away by investing in both GM and BANCO 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 GM and BANCO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and BANCO SANTANDER SA, you can compare the effects of market volatilities on GM and BANCO 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 GM with a short position of BANCO. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and BANCO.

Diversification Opportunities for GM and BANCO

-0.67
  Correlation Coefficient

Excellent diversification

The 3 months correlation between GM and BANCO is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and BANCO SANTANDER SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BANCO SANTANDER SA and GM 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 General Motors are associated (or correlated) with BANCO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BANCO SANTANDER SA has no effect on the direction of GM i.e., GM and BANCO go up and down completely randomly.

Pair Corralation between GM and BANCO

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the BANCO. In addition to that, GM is 3.3 times more volatile than BANCO SANTANDER SA. It trades about -0.16 of its total potential returns per unit of risk. BANCO SANTANDER SA is currently generating about -0.16 per unit of volatility. If you would invest  9,318  in BANCO SANTANDER SA on September 13, 2024 and sell it today you would lose (196.00) from holding BANCO SANTANDER SA or give up 2.1% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy77.27%
ValuesDaily Returns

General Motors  vs.  BANCO SANTANDER SA

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.
BANCO SANTANDER SA 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days BANCO SANTANDER SA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, BANCO is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

GM and BANCO Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and BANCO

The main advantage of trading using opposite GM and BANCO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, BANCO 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 BANCO will offset losses from the drop in BANCO's long position.
The idea behind General Motors and BANCO SANTANDER SA 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.

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