Correlation Between GM and Bank of South

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

Diversification Opportunities for GM and Bank of South

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between GM and Bank is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Bank of South in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of South 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 Bank of South. 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 South has no effect on the direction of GM i.e., GM and Bank of South go up and down completely randomly.

Pair Corralation between GM and Bank of South

If you would invest  3,323  in General Motors on November 5, 2024 and sell it today you would earn a total of  1,623  from holding General Motors or generate 48.84% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.35%
ValuesDaily Returns

General Motors  vs.  Bank of South

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

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Strong
Very Weak
Over the last 90 days General Motors has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's primary indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.
Bank of South 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days Bank of South has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, Bank of South is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.

GM and Bank of South Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and Bank of South

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