Correlation Between DCT TRADING and E Data

Can any of the company-specific risk be diversified away by investing in both DCT TRADING and E 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 DCT TRADING and E Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between DCT TRADING DIS and E Data Teknoloji Pazarlama, you can compare the effects of market volatilities on DCT TRADING and E 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 DCT TRADING with a short position of E Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of DCT TRADING and E Data.

Diversification Opportunities for DCT TRADING and E Data

0.46

Correlation Coefficient

DCT TRADING  E Data

Very weak diversification

The 3 months correlation between DCT and EDATA is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding DCT TRADING DIS and E Data Teknoloji Pazarlama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on E Data Teknoloji and DCT TRADING 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 DCT TRADING DIS are associated (or correlated) with E Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of E Data Teknoloji has no effect on the direction of DCT TRADING i.e., DCT TRADING and E Data go up and down completely randomly.

Pair Corralation between DCT TRADING and E Data

Assuming the 90 days trading horizon DCT TRADING is expected to generate 15.74 times less return on investment than E Data. In addition to that, DCT TRADING is 1.42 times more volatile than E Data Teknoloji Pazarlama. It trades about 0.0 of its total potential returns per unit of risk. E Data Teknoloji Pazarlama is currently generating about 0.07 per unit of volatility. If you would invest  419.00  in E Data Teknoloji Pazarlama on April 24, 2025 and sell it today you would earn a total of  39.00  from holding E Data Teknoloji Pazarlama or generate 9.31% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

DCT TRADING DIS  vs.  E Data Teknoloji Pazarlama

DCT TRADING DIS

Risk-Adjusted Performance

Very Weak

Over the last 90 days DCT TRADING DIS has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong forward indicators, DCT TRADING is not utilizing all of its potentials. The recent stock price confusion, may contribute to short-horizon losses for the traders.

E Data Teknoloji

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in E Data Teknoloji Pazarlama are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite fairly inconsistent forward indicators, E Data may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Pair Trading with DCT TRADING and E Data

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

The idea behind DCT TRADING DIS and E Data Teknoloji Pazarlama 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.