Correlation Between GM and Big Tree

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

Diversification Opportunities for GM and Big Tree

-0.28
  Correlation Coefficient

Very good diversification

The 3 months correlation between GM and Big is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Big Tree Cloud in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Tree Cloud 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 Big Tree. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Tree Cloud has no effect on the direction of GM i.e., GM and Big Tree go up and down completely randomly.

Pair Corralation between GM and Big Tree

Allowing for the 90-day total investment horizon GM is expected to generate 1.16 times less return on investment than Big Tree. But when comparing it to its historical volatility, General Motors is 5.17 times less risky than Big Tree. It trades about 0.09 of its potential returns per unit of risk. Big Tree Cloud is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  4.15  in Big Tree Cloud on September 15, 2024 and sell it today you would lose (1.16) from holding Big Tree Cloud or give up 27.95% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy98.44%
ValuesDaily Returns

General Motors  vs.  Big Tree Cloud

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 6 (%) 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.
Big Tree Cloud 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Big Tree Cloud are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of fairly fragile basic indicators, Big Tree showed solid returns over the last few months and may actually be approaching a breakup point.

GM and Big Tree Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and Big Tree

The main advantage of trading using opposite GM and Big Tree positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Big Tree 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 Big Tree will offset losses from the drop in Big Tree's long position.
The idea behind General Motors and Big Tree Cloud 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.
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

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