Correlation Between Accsys Technologies and SBF 120

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Can any of the company-specific risk be diversified away by investing in both Accsys Technologies and SBF 120 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 Accsys Technologies and SBF 120 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Accsys Technologies and SBF 120 Gross, you can compare the effects of market volatilities on Accsys Technologies and SBF 120 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 Accsys Technologies with a short position of SBF 120. Check out your portfolio center. Please also check ongoing floating volatility patterns of Accsys Technologies and SBF 120.

Diversification Opportunities for Accsys Technologies and SBF 120

-0.62
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Accsys and SBF is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Accsys Technologies and SBF 120 Gross in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBF 120 Gross and Accsys Technologies 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 Accsys Technologies are associated (or correlated) with SBF 120. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBF 120 Gross has no effect on the direction of Accsys Technologies i.e., Accsys Technologies and SBF 120 go up and down completely randomly.
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Pair Corralation between Accsys Technologies and SBF 120

Assuming the 90 days trading horizon Accsys Technologies is expected to under-perform the SBF 120. In addition to that, Accsys Technologies is 2.17 times more volatile than SBF 120 Gross. It trades about -0.02 of its total potential returns per unit of risk. SBF 120 Gross is currently generating about 0.15 per unit of volatility. If you would invest  1,539,691  in SBF 120 Gross on December 30, 2024 and sell it today you would earn a total of  129,399  from holding SBF 120 Gross or generate 8.4% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Accsys Technologies  vs.  SBF 120 Gross

 Performance 
       Timeline  

Accsys Technologies and SBF 120 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Accsys Technologies and SBF 120

The main advantage of trading using opposite Accsys Technologies and SBF 120 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Accsys Technologies position performs unexpectedly, SBF 120 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 SBF 120 will offset losses from the drop in SBF 120's long position.
The idea behind Accsys Technologies and SBF 120 Gross 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

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