Correlation Between ITC and Xai

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

Diversification Opportunities for ITC and Xai

0.12
  Correlation Coefficient
 ITC
 Xai

Average diversification

The 3 months correlation between ITC and Xai is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding ITC and Xai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xai and ITC 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 ITC are associated (or correlated) with Xai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xai has no effect on the direction of ITC i.e., ITC and Xai go up and down completely randomly.

Pair Corralation between ITC and Xai

If you would invest  1.10  in ITC on August 25, 2024 and sell it today you would earn a total of  0.00  from holding ITC or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy0.74%
ValuesDaily Returns

ITC  vs.  Xai

 Performance 
       Timeline  
ITC 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days ITC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, ITC is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
Xai 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Xai are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady forward indicators, Xai exhibited solid returns over the last few months and may actually be approaching a breakup point.

ITC and Xai Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with ITC and Xai

The main advantage of trading using opposite ITC and Xai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ITC position performs unexpectedly, Xai 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 Xai will offset losses from the drop in Xai's long position.
The idea behind ITC and Xai 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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