Correlation Between NYSE Composite and American Pacific

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

Diversification Opportunities for NYSE Composite and American Pacific

0.53
  Correlation Coefficient

Very weak diversification

The 3 months correlation between NYSE and American is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and American Pacific Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Pacific Mining and NYSE Composite 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 NYSE Composite are associated (or correlated) with American Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Pacific Mining has no effect on the direction of NYSE Composite i.e., NYSE Composite and American Pacific go up and down completely randomly.
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Pair Corralation between NYSE Composite and American Pacific

Assuming the 90 days trading horizon NYSE Composite is expected to generate 12.03 times less return on investment than American Pacific. But when comparing it to its historical volatility, NYSE Composite is 13.9 times less risky than American Pacific. It trades about 0.17 of its potential returns per unit of risk. American Pacific Mining is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest  10.00  in American Pacific Mining on September 3, 2024 and sell it today you would earn a total of  8.00  from holding American Pacific Mining or generate 80.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  American Pacific Mining

 Performance 
       Timeline  

NYSE Composite and American Pacific Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and American Pacific

The main advantage of trading using opposite NYSE Composite and American Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, American Pacific 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 American Pacific will offset losses from the drop in American Pacific's long position.
The idea behind NYSE Composite and American Pacific Mining 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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