Correlation Between NYSE Composite and PT Barito

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

Diversification Opportunities for NYSE Composite and PT Barito

0.47
  Correlation Coefficient

Very weak diversification

The 3 months correlation between NYSE and OB8 is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and PT Barito Pacific in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Barito Pacific 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 PT Barito. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Barito Pacific has no effect on the direction of NYSE Composite i.e., NYSE Composite and PT Barito go up and down completely randomly.
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Pair Corralation between NYSE Composite and PT Barito

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.07 times more return on investment than PT Barito. However, NYSE Composite is 14.09 times less risky than PT Barito. It trades about -0.21 of its potential returns per unit of risk. PT Barito Pacific is currently generating about -0.02 per unit of risk. If you would invest  1,831,738  in NYSE Composite on March 17, 2024 and sell it today you would lose (50,012) from holding NYSE Composite or give up 2.73% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy91.3%
ValuesDaily Returns

NYSE Composite  vs.  PT Barito Pacific

 Performance 
       Timeline  

NYSE Composite and PT Barito Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and PT Barito

The main advantage of trading using opposite NYSE Composite and PT Barito positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, PT Barito 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 PT Barito will offset losses from the drop in PT Barito's long position.
The idea behind NYSE Composite and PT Barito Pacific 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 Transaction History module to view history of all your transactions and understand their impact on performance.

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