Correlation Between MCX ICOMDEX and VA Tech

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

Diversification Opportunities for MCX ICOMDEX and VA Tech

0.84
  Correlation Coefficient

Very poor diversification

The 3 months correlation between MCX and WABAG is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding MCX ICOMDEX ALUMINIUM and VA Tech Wabag in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VA Tech Wabag and MCX ICOMDEX 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 MCX ICOMDEX ALUMINIUM are associated (or correlated) with VA Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VA Tech Wabag has no effect on the direction of MCX ICOMDEX i.e., MCX ICOMDEX and VA Tech go up and down completely randomly.
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Pair Corralation between MCX ICOMDEX and VA Tech

Assuming the 90 days trading horizon MCX ICOMDEX ALUMINIUM is expected to under-perform the VA Tech. But the index apears to be less risky and, when comparing its historical volatility, MCX ICOMDEX ALUMINIUM is 2.99 times less risky than VA Tech. The index trades about -0.03 of its potential returns per unit of risk. The VA Tech Wabag is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest  99,360  in VA Tech Wabag on September 1, 2024 and sell it today you would earn a total of  80,130  from holding VA Tech Wabag or generate 80.65% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy86.4%
ValuesDaily Returns

MCX ICOMDEX ALUMINIUM  vs.  VA Tech Wabag

 Performance 
       Timeline  

MCX ICOMDEX and VA Tech Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MCX ICOMDEX and VA Tech

The main advantage of trading using opposite MCX ICOMDEX and VA Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MCX ICOMDEX position performs unexpectedly, VA Tech 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 VA Tech will offset losses from the drop in VA Tech's long position.
The idea behind MCX ICOMDEX ALUMINIUM and VA Tech Wabag 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

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