Correlation Between Citigroup and BIST Electricity

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

Diversification Opportunities for Citigroup and BIST Electricity

0.06
  Correlation Coefficient

Significant diversification

The 3 months correlation between Citigroup and BIST is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and BIST Electricity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BIST Electricity and Citigroup 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 Citigroup are associated (or correlated) with BIST Electricity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BIST Electricity has no effect on the direction of Citigroup i.e., Citigroup and BIST Electricity go up and down completely randomly.
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Pair Corralation between Citigroup and BIST Electricity

Taking into account the 90-day investment horizon Citigroup is expected to generate 1.49 times more return on investment than BIST Electricity. However, Citigroup is 1.49 times more volatile than BIST Electricity. It trades about 0.27 of its potential returns per unit of risk. BIST Electricity is currently generating about 0.14 per unit of risk. If you would invest  6,315  in Citigroup on September 2, 2024 and sell it today you would earn a total of  772.00  from holding Citigroup or generate 12.22% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy95.45%
ValuesDaily Returns

Citigroup  vs.  BIST Electricity

 Performance 
       Timeline  

Citigroup and BIST Electricity Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Citigroup and BIST Electricity

The main advantage of trading using opposite Citigroup and BIST Electricity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, BIST Electricity 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 BIST Electricity will offset losses from the drop in BIST Electricity's long position.
The idea behind Citigroup and BIST Electricity 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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