| TTD Stock | | | USD 80.21 1.23 1.51% |
The current 90-days correlation between Trade Desk and Applovin Corp is 0.32 (i.e., Weak diversification). The correlation of Trade Desk is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Trade Desk Correlation With Market
Weak diversification
The correlation between Trade Desk and DJI is 0.39 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Trade Desk and DJI in the same portfolio, assuming nothing else is changed.
Check out
World Market Map to better understand how to build diversified portfolios, which includes a position in Trade Desk. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in estimate.
For information on how to trade Trade Stock refer to our
How to Trade Trade Stock guide.
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations | TZUP | | MGNI | | TZUP | | APP | | MGNI | | APP | | TRPS | | APP | | TRPS | | MGNI | | TZUP | | TRPS |
| | High negative correlations |
Risk-Adjusted IndicatorsThere is a big difference between Trade Stock performing well and Trade Desk Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Trade Desk's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.