Correlation Between GM and ARCA Institutional

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

Diversification Opportunities for GM and ARCA Institutional

0.42
  Correlation Coefficient

Very weak diversification

The 3 months correlation between GM and ARCA is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and ARCA Institutional in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARCA Institutional 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 ARCA Institutional. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARCA Institutional has no effect on the direction of GM i.e., GM and ARCA Institutional go up and down completely randomly.
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Pair Corralation between GM and ARCA Institutional

Allowing for the 90-day total investment horizon General Motors is expected to generate 2.26 times more return on investment than ARCA Institutional. However, GM is 2.26 times more volatile than ARCA Institutional. It trades about 0.09 of its potential returns per unit of risk. ARCA Institutional is currently generating about 0.15 per unit of risk. If you would invest  3,204  in General Motors on September 26, 2024 and sell it today you would earn a total of  2,147  from holding General Motors or generate 67.01% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

General Motors  vs.  ARCA Institutional

 Performance 
       Timeline  

GM and ARCA Institutional Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and ARCA Institutional

The main advantage of trading using opposite GM and ARCA Institutional positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, ARCA Institutional 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 ARCA Institutional will offset losses from the drop in ARCA Institutional's long position.
The idea behind General Motors and ARCA Institutional 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

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