Correlation Between Trade Desk and DATA MODUL

Can any of the company-specific risk be diversified away by investing in both Trade Desk and DATA MODUL 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 Trade Desk and DATA MODUL into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between The Trade Desk and DATA MODUL , you can compare the effects of market volatilities on Trade Desk and DATA MODUL 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 Trade Desk with a short position of DATA MODUL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Trade Desk and DATA MODUL.

Diversification Opportunities for Trade Desk and DATA MODUL

0.32

Correlation Coefficient

Trade Desk  DATA MODUL

Weak diversification

The 3 months correlation between Trade and DATA is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding The Trade Desk and DATA MODUL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATA MODUL and Trade Desk 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 The Trade Desk are associated (or correlated) with DATA MODUL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATA MODUL has no effect on the direction of Trade Desk i.e., Trade Desk and DATA MODUL go up and down completely randomly.

Pair Corralation between Trade Desk and DATA MODUL

Assuming the 90 days trading horizon The Trade Desk is expected to under-perform the DATA MODUL. In addition to that, Trade Desk is 2.05 times more volatile than DATA MODUL . It trades about -0.26 of its total potential returns per unit of risk. DATA MODUL is currently generating about -0.01 per unit of volatility. If you would invest  2,680  in DATA MODUL on December 21, 2024 and sell it today you would lose (80.00) from holding DATA MODUL or give up 2.99% of portfolio value over 90 days.

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

The Trade Desk  vs.  DATA MODUL

Trade Desk

Risk-Adjusted Performance

Very Weak

Over the last 90 days The Trade Desk has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fragile performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

DATA MODUL

Risk-Adjusted Performance

Very Weak

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

Pair Trading with Trade Desk and DATA MODUL

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

The idea behind The Trade Desk and DATA MODUL 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.