The phrase "trade behavior" is a correct and usable phrase in written English.
It is typically used to refer to the conduct of businesses when they are engaging in trade. For example: "The government's new regulations are aimed at improving trade behavior among corporations."
Congress has threatened to punish China's currency policy with tariffs and to "get tough" with other supposedly unfair trade behaviour, but no laws have emerged.
Firstly, all LPT trade behaviour attributes were screened statistically using univariable logistic regression with commune infection status based on a p-value of 0.20, using the likelihood-ratio test.
Following the introduction of post-movement testing in 2005, Gates and colleagues showed that the volume of cattle imported from high incidence parishes decreased substantially as the result of changes in farmer trade behaviour, which may have reduced the risk of disease introduction as much, if not more, than the testing itself [ 19].
The centre offers a "Trader DNA" program to help track individual trading behaviour.
Why, he asks, did all those banks keep dancing – indulging in ever-riskier lending and trading behaviour and employing ever-more unintelligible models and financial instruments – until finally the music stopped?
Thus, this hybrid model is shown to make a substantial contribution to the literature on financial market surveillance and to offer a practical and effective approach for the identification of disruptive trading behaviour.
The term "disruptive trading behaviour" was first proposed by the U.S. Commodity Futures Trading Commission and is now widely used by US and EU regulation (MiFID II) to describe activities that create a misleading appearance of market liquidity or depth or an artificial price movement upward or downward according to their own purposes.
This helps detect suspicious transactions and trading behaviour and ultimately identify rogue trading.
It also serves as a possible heuristic for the economic phase transitions of section "Overview of phase transitions and metrics" whereby market traders can self-organise to 'flock' in their trading behaviour.
As a result, trading behaviour on Wall Street before the 1980s was highly un-correlated.
Since everyone was using the same equations and formulae, however, trading behaviour in Wall Street became ever more highly correlated during the 1990s and the first years of the new millennium.
