Correlation Between Tel Aviv and YH Dimri

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Can any of the company-specific risk be diversified away by investing in both Tel Aviv and YH Dimri 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 Tel Aviv and YH Dimri into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tel Aviv 35 and YH Dimri Construction, you can compare the effects of market volatilities on Tel Aviv and YH Dimri 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 Tel Aviv with a short position of YH Dimri. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tel Aviv and YH Dimri.

Diversification Opportunities for Tel Aviv and YH Dimri

0.8
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Tel and DIMRI is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Tel Aviv 35 and YH Dimri Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YH Dimri Construction and Tel Aviv 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 Tel Aviv 35 are associated (or correlated) with YH Dimri. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YH Dimri Construction has no effect on the direction of Tel Aviv i.e., Tel Aviv and YH Dimri go up and down completely randomly.
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Pair Corralation between Tel Aviv and YH Dimri

Assuming the 90 days trading horizon Tel Aviv is expected to generate 1.59 times less return on investment than YH Dimri. But when comparing it to its historical volatility, Tel Aviv 35 is 2.07 times less risky than YH Dimri. It trades about 0.12 of its potential returns per unit of risk. YH Dimri Construction is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  2,454,771  in YH Dimri Construction on August 25, 2024 and sell it today you would earn a total of  963,229  from holding YH Dimri Construction or generate 39.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Tel Aviv 35  vs.  YH Dimri Construction

 Performance 
       Timeline  

Tel Aviv and YH Dimri Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Tel Aviv and YH Dimri

The main advantage of trading using opposite Tel Aviv and YH Dimri positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tel Aviv position performs unexpectedly, YH Dimri 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 YH Dimri will offset losses from the drop in YH Dimri's long position.
The idea behind Tel Aviv 35 and YH Dimri Construction 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 Valuation module to check real value of public entities based on technical and fundamental data.

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