Correlation Between Citigroup and Datametrex

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

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

Diversification Opportunities for Citigroup and Datametrex

-0.08

Correlation Coefficient

Citigroup  Datametrex

Good diversification

The 3 months correlation between Citigroup and Datametrex is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Datametrex AI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datametrex AI 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 Datametrex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datametrex AI has no effect on the direction of Citigroup i.e., Citigroup and Datametrex go up and down completely randomly.

Pair Corralation between Citigroup and Datametrex

Taking into account the 90-day investment horizon Citigroup is expected to generate 0.19 times more return on investment than Datametrex. However, Citigroup is 5.34 times less risky than Datametrex. It trades about 0.43 of its potential returns per unit of risk. Datametrex AI is currently generating about 0.07 per unit of risk. If you would invest  6,219  in Citigroup on April 21, 2025 and sell it today you would earn a total of  3,126  from holding Citigroup or generate 50.27% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

Citigroup  vs.  Datametrex AI

Citigroup

Risk-Adjusted Performance

Very Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Citigroup are ranked lower than 34 (%) of all global equities and portfolios over the last 90 days. In spite of rather uncertain fundamental indicators, Citigroup exhibited solid returns over the last few months and may actually be approaching a breakup point.

Datametrex AI

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Datametrex AI are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of fairly fragile basic indicators, Datametrex showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Citigroup and Datametrex

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

The idea behind Citigroup and Datametrex AI 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.

Check out your portfolio center.

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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.