Correlation Between GM and CSIF III

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

Diversification Opportunities for GM and CSIF III

0.01
  Correlation Coefficient

Significant diversification

The 3 months correlation between GM and CSIF is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and CSIF III Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CSIF III Real 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 CSIF III. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CSIF III Real has no effect on the direction of GM i.e., GM and CSIF III go up and down completely randomly.

Pair Corralation between GM and CSIF III

Allowing for the 90-day total investment horizon General Motors is expected to generate 1.58 times more return on investment than CSIF III. However, GM is 1.58 times more volatile than CSIF III Real. It trades about -0.07 of its potential returns per unit of risk. CSIF III Real is currently generating about -0.37 per unit of risk. If you would invest  5,467  in General Motors on September 27, 2024 and sell it today you would lose (116.00) from holding General Motors or give up 2.12% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy95.45%
ValuesDaily Returns

General Motors  vs.  CSIF III Real

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 8 (%) 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.
CSIF III Real 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days CSIF III Real has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, CSIF III is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

GM and CSIF III Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and CSIF III

The main advantage of trading using opposite GM and CSIF III positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, CSIF III 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 CSIF III will offset losses from the drop in CSIF III's long position.
The idea behind General Motors and CSIF III Real 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

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