Correlation Between Citigroup and Forza X1

Can any of the company-specific risk be diversified away by investing in both Citigroup and Forza X1 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 Forza X1 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Citigroup and Forza X1, you can compare the effects of market volatilities on Citigroup and Forza X1 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 Forza X1. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Forza X1.

Diversification Opportunities for Citigroup and Forza X1

-0.31

Correlation Coefficient

Citigroup  Forza X1

Very good diversification

The 3 months correlation between Citigroup and Forza is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Forza X1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Forza X1 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 Forza X1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Forza X1 has no effect on the direction of Citigroup i.e., Citigroup and Forza X1 go up and down completely randomly.

Pair Corralation between Citigroup and Forza X1

Taking into account the 90-day investment horizon Citigroup is expected to generate 0.28 times more return on investment than Forza X1. However, Citigroup is 3.6 times less risky than Forza X1. It trades about 0.11 of its potential returns per unit of risk. Forza X1 is currently generating about -0.05 per unit of risk. If you would invest  4,567  in Citigroup on September 28, 2024 and sell it today you would earn a total of  2,508  from holding Citigroup or generate 54.93% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	81.04%
Values	Daily Returns

Citigroup  vs.  Forza X1

Citigroup

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Citigroup are ranked lower than 9 (%) 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.

Forza X1

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Forza X1 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite unfluctuating performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with Citigroup and Forza X1

The main advantage of trading using opposite Citigroup and Forza X1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Forza X1 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 Forza X1 will offset losses from the drop in Forza X1's long position.

The idea behind Citigroup and Forza X1 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.