Correlation Between Citigroup and Gohigh Data

Can any of the company-specific risk be diversified away by investing in both Citigroup and Gohigh Data 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 Gohigh Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Citigroup and Gohigh Data Networks, you can compare the effects of market volatilities on Citigroup and Gohigh Data 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 Gohigh Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Gohigh Data.

Diversification Opportunities for Citigroup and Gohigh Data

0.73

Correlation Coefficient

Citigroup  Gohigh Data

Poor diversification

The 3 months correlation between Citigroup and Gohigh is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Gohigh Data Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gohigh Data Networks 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 Gohigh Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gohigh Data Networks has no effect on the direction of Citigroup i.e., Citigroup and Gohigh Data go up and down completely randomly.

Pair Corralation between Citigroup and Gohigh Data

Taking into account the 90-day investment horizon Citigroup is expected to generate 0.56 times more return on investment than Gohigh Data. However, Citigroup is 1.77 times less risky than Gohigh Data. It trades about 0.14 of its potential returns per unit of risk. Gohigh Data Networks is currently generating about 0.05 per unit of risk. If you would invest  6,268  in Citigroup on October 8, 2024 and sell it today you would earn a total of  1,006  from holding Citigroup or generate 16.05% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	96.88%
Values	Daily Returns

Citigroup  vs.  Gohigh Data Networks

Citigroup

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Citigroup are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unfluctuating fundamental indicators, Citigroup exhibited solid returns over the last few months and may actually be approaching a breakup point.

Gohigh Data Networks

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Gohigh Data Networks are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Gohigh Data may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with Citigroup and Gohigh Data

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

The idea behind Citigroup and Gohigh Data Networks 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.