Correlation Between S E and Citigroup

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

Diversification Opportunities for S E and Citigroup

0.9
  Correlation Coefficient

Almost no diversification

The 3 months correlation between SEBA and Citigroup is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding S E BANKEN A and Citigroup in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citigroup and S E 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 S E BANKEN A are associated (or correlated) with Citigroup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citigroup has no effect on the direction of S E i.e., S E and Citigroup go up and down completely randomly.

Pair Corralation between S E and Citigroup

Assuming the 90 days trading horizon S E BANKEN A is expected to under-perform the Citigroup. In addition to that, S E is 1.02 times more volatile than Citigroup. It trades about -0.12 of its total potential returns per unit of risk. Citigroup is currently generating about -0.12 per unit of volatility. If you would invest  6,133  in Citigroup on January 21, 2024 and sell it today you would lose (219.00) from holding Citigroup or give up 3.57% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

S E BANKEN A   vs.  Citigroup

 Performance 
       Timeline  
S E BANKEN 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in S E BANKEN A are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, S E unveiled solid returns over the last few months and may actually be approaching a breakup point.
Citigroup 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Citigroup are ranked lower than 11 (%) 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.

S E and Citigroup Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with S E and Citigroup

The main advantage of trading using opposite S E and Citigroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if S E position performs unexpectedly, Citigroup 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 Citigroup will offset losses from the drop in Citigroup's long position.
The idea behind S E BANKEN A and Citigroup 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Other Complementary Tools

Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated