Correlation Between American Express and Data Knights

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

Diversification Opportunities for American Express and Data Knights

0.82
  Correlation Coefficient

Very poor diversification

The 3 months correlation between American and Data is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding American Express and Data Knights Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Knights Acquisition and American Express 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 American Express are associated (or correlated) with Data Knights. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Knights Acquisition has no effect on the direction of American Express i.e., American Express and Data Knights go up and down completely randomly.

Pair Corralation between American Express and Data Knights

If you would invest  26,548  in American Express on August 26, 2024 and sell it today you would earn a total of  3,582  from holding American Express or generate 13.49% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy2.27%
ValuesDaily Returns

American Express  vs.  Data Knights Acquisition

 Performance 
       Timeline  
American Express 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in American Express are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Even with relatively unfluctuating basic indicators, American Express reported solid returns over the last few months and may actually be approaching a breakup point.
Data Knights Acquisition 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Data Knights Acquisition has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong fundamental indicators, Data Knights is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

American Express and Data Knights Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with American Express and Data Knights

The main advantage of trading using opposite American Express and Data Knights positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express position performs unexpectedly, Data Knights 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 Knights will offset losses from the drop in Data Knights' long position.
The idea behind American Express and Data Knights Acquisition 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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