Correlation Between TTG Fintech and Dicker Data

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

Diversification Opportunities for TTG Fintech and Dicker Data

0.27
  Correlation Coefficient

Modest diversification

The 3 months correlation between TTG and Dicker is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding TTG Fintech and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and TTG Fintech 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 TTG Fintech are associated (or correlated) with Dicker Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dicker Data has no effect on the direction of TTG Fintech i.e., TTG Fintech and Dicker Data go up and down completely randomly.

Pair Corralation between TTG Fintech and Dicker Data

If you would invest  857.00  in Dicker Data on August 30, 2024 and sell it today you would earn a total of  3.00  from holding Dicker Data or generate 0.35% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

TTG Fintech  vs.  Dicker Data

 Performance 
       Timeline  
TTG Fintech 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in TTG Fintech are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable fundamental indicators, TTG Fintech is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.
Dicker Data 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dicker Data has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Dicker Data is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

TTG Fintech and Dicker Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with TTG Fintech and Dicker Data

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

AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Money Managers
Screen money managers from public funds and ETFs managed around the world
Equity Valuation
Check real value of public entities based on technical and fundamental data
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.