Correlation Between Swiss Leader and ISEQ 20

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Can any of the company-specific risk be diversified away by investing in both Swiss Leader and ISEQ 20 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 Swiss Leader and ISEQ 20 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Swiss Leader Price and ISEQ 20 Price, you can compare the effects of market volatilities on Swiss Leader and ISEQ 20 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 Swiss Leader with a short position of ISEQ 20. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swiss Leader and ISEQ 20.

Diversification Opportunities for Swiss Leader and ISEQ 20

0.56
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Swiss and ISEQ is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Swiss Leader Price and ISEQ 20 Price in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ISEQ 20 Price and Swiss Leader 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 Swiss Leader Price are associated (or correlated) with ISEQ 20. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ISEQ 20 Price has no effect on the direction of Swiss Leader i.e., Swiss Leader and ISEQ 20 go up and down completely randomly.
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Pair Corralation between Swiss Leader and ISEQ 20

Assuming the 90 days trading horizon Swiss Leader Price is expected to under-perform the ISEQ 20. But the index apears to be less risky and, when comparing its historical volatility, Swiss Leader Price is 1.32 times less risky than ISEQ 20. The index trades about -0.08 of its potential returns per unit of risk. The ISEQ 20 Price is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest  165,605  in ISEQ 20 Price on September 1, 2024 and sell it today you would lose (4,536) from holding ISEQ 20 Price or give up 2.74% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Swiss Leader Price  vs.  ISEQ 20 Price

 Performance 
       Timeline  

Swiss Leader and ISEQ 20 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Swiss Leader and ISEQ 20

The main advantage of trading using opposite Swiss Leader and ISEQ 20 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swiss Leader position performs unexpectedly, ISEQ 20 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 ISEQ 20 will offset losses from the drop in ISEQ 20's long position.
The idea behind Swiss Leader Price and ISEQ 20 Price 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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