Correlation Between Citigroup and Data Agro

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Citigroup and Data Agro 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 Data Agro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Data Agro, you can compare the effects of market volatilities on Citigroup and Data Agro 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 Data Agro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Data Agro.

Diversification Opportunities for Citigroup and Data Agro

-0.61
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Citigroup and Data is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Data Agro in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Agro 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 Data Agro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Agro has no effect on the direction of Citigroup i.e., Citigroup and Data Agro go up and down completely randomly.

Pair Corralation between Citigroup and Data Agro

Taking into account the 90-day investment horizon Citigroup is expected to generate 1.02 times more return on investment than Data Agro. However, Citigroup is 1.02 times more volatile than Data Agro. It trades about 0.27 of its potential returns per unit of risk. Data Agro is currently generating about -0.26 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 Against 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

Citigroup  vs.  Data Agro

 Performance 
       Timeline  
Citigroup 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
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.
Data Agro 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Data Agro has generated negative risk-adjusted returns adding no value to investors with long positions. Despite conflicting 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.

Citigroup and Data Agro Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Citigroup and Data Agro

The main advantage of trading using opposite Citigroup and Data Agro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Data Agro 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 Data Agro will offset losses from the drop in Data Agro's long position.
The idea behind Citigroup and Data Agro 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.

Other Complementary Tools

My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Equity Valuation
Check real value of public entities based on technical and fundamental data
Fundamental Analysis
View fundamental data based on most recent published financial statements
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules