Correlation Between Citigroup and Data Patterns

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

Diversification Opportunities for Citigroup and Data Patterns

-0.66
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Citigroup and Data is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Data Patterns Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Patterns Limited 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 Patterns. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Patterns Limited has no effect on the direction of Citigroup i.e., Citigroup and Data Patterns go up and down completely randomly.

Pair Corralation between Citigroup and Data Patterns

Taking into account the 90-day investment horizon Citigroup is expected to generate 0.55 times more return on investment than Data Patterns. However, Citigroup is 1.83 times less risky than Data Patterns. It trades about 0.21 of its potential returns per unit of risk. Data Patterns Limited is currently generating about 0.11 per unit of risk. If you would invest  6,360  in Citigroup on August 29, 2024 and sell it today you would earn a total of  615.00  from holding Citigroup or generate 9.67% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

Citigroup  vs.  Data Patterns Limited

 Performance 
       Timeline  
Citigroup 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Citigroup are ranked lower than 8 (%) 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.
Data Patterns Limited 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Data Patterns Limited has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unfluctuating performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in December 2024. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Citigroup and Data Patterns Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Citigroup and Data Patterns

The main advantage of trading using opposite Citigroup and Data Patterns positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Data Patterns 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 Patterns will offset losses from the drop in Data Patterns' long position.
The idea behind Citigroup and Data Patterns Limited 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.

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