Correlation Between Titan Company and ISEQ 20

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

Diversification Opportunities for Titan Company and ISEQ 20

0.37
  Correlation Coefficient

Weak diversification

The 3 months correlation between Titan and ISEQ is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Titan Company Limited 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 Titan Company 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 Titan Company Limited 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 Titan Company i.e., Titan Company and ISEQ 20 go up and down completely randomly.
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Pair Corralation between Titan Company and ISEQ 20

Assuming the 90 days trading horizon Titan Company Limited is expected to generate 1.33 times more return on investment than ISEQ 20. However, Titan Company is 1.33 times more volatile than ISEQ 20 Price. It trades about 0.06 of its potential returns per unit of risk. ISEQ 20 Price is currently generating about 0.06 per unit of risk. If you would invest  245,852  in Titan Company Limited on September 12, 2024 and sell it today you would earn a total of  101,723  from holding Titan Company Limited or generate 41.38% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy97.21%
ValuesDaily Returns

Titan Company Limited  vs.  ISEQ 20 Price

 Performance 
       Timeline  

Titan Company and ISEQ 20 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Titan Company and ISEQ 20

The main advantage of trading using opposite Titan Company and ISEQ 20 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Titan Company 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 Titan Company Limited 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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