Correlation Between Coreshares Index and SBF 120

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

Diversification Opportunities for Coreshares Index and SBF 120

0.17
  Correlation Coefficient

Average diversification

The 3 months correlation between Coreshares and SBF is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Coreshares Index Tracker and SBF 120 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBF 120 and Coreshares Index 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 Coreshares Index Tracker 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 has no effect on the direction of Coreshares Index i.e., Coreshares Index and SBF 120 go up and down completely randomly.
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Pair Corralation between Coreshares Index and SBF 120

Assuming the 90 days trading horizon Coreshares Index Tracker is expected to generate 1.08 times more return on investment than SBF 120. However, Coreshares Index is 1.08 times more volatile than SBF 120. It trades about 0.01 of its potential returns per unit of risk. SBF 120 is currently generating about -0.09 per unit of risk. If you would invest  107,500  in Coreshares Index Tracker on September 1, 2024 and sell it today you would earn a total of  500.00  from holding Coreshares Index Tracker or generate 0.47% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy96.97%
ValuesDaily Returns

Coreshares Index Tracker  vs.  SBF 120

 Performance 
       Timeline  

Coreshares Index and SBF 120 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Coreshares Index and SBF 120

The main advantage of trading using opposite Coreshares Index and SBF 120 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coreshares Index 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 Coreshares Index Tracker and SBF 120 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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