Where does predation collide?

In ecology, predation is an interaction in which one living thing, the predator, kills and eats another, the prey, and the rates at which predators find, kill, and consume prey drive the rise and fall of both populations. Holling's 1959 The Components of Predation broke a predator's kill rate into a functional response that saturates as prey grow dense, the coupled equations given their mathematical form by Volterra in 1926 described the cycles of predator and prey numbers, and Paine's 1966 Food Web Complexity and Species Diversity showed how a single keystone predator can hold a whole community together. Here the referent is the literal act of one organism eating another and its effect on wild populations, not a firm cutting its prices or a trader squeezing a rival, which borrow the imagery of the hunt without any animal being eaten.[1][2][3]

Unit

A single predator-prey interaction, scaled up as a per-capita kill rate across a population

Recovery means

Prey numbers can rebound when predators become scarce, producing the coupled cycles of predator-prey models

Measured by

Estimated from kill rates, functional-response curves, and repeated counts of predator and prey populations in the field

In industrial economics and antitrust law, predation (predatory pricing) is a firm deliberately setting its prices below its own cost to drive competitors out of a market, accepting losses now so that, once rivals have exited, it can raise prices and recoup them under monopoly. Areeda and Turner's 1975 Predatory Pricing and Related Practices under Section 2 of the Sherman Act proposed the influential rule that a price below average variable cost should be presumed predatory, while McGee's 1958 Predatory Price Cutting: The Standard Oil (N. J.) Case had argued the strategy is often irrational and rarely observed in practice. The referent is a pricing strategy between firms, judged by cost benchmarks and market structure, not one animal eating another or a trader exploiting a distressed seller.[4][5]

Unit

A pricing strategy by one firm against its rivals, judged against a cost benchmark

Recovery means

The firm recoups its losses by raising prices after rivals exit, and the chance of recoupment is what can make the strategy rational

Measured by

Assessed by comparing price to measures of cost such as average variable cost, and by the odds of later recoupment given market structure

In finance, predatory trading (also called predation) is trading that induces or exploits another investor's need to unwind a large position: sensing that a distressed fund must sell, other traders sell first to push the price down, then buy back cheaply once the forced sale is over, profiting from the victim's liquidation. Brunnermeier and Pedersen's 2005 Predatory Trading modelled how this behaviour drains market liquidity exactly when a trader most needs it and can turn a solvent position into a collapse. The referent is strategic trading in a financial market that preys on a counterparty's forced liquidation, not a firm's pricing strategy against competitors or a predator consuming prey in the wild.[6]

Unit

A trading strategy targeting one distressed counterparty's forced liquidation

Recovery means

The predatory traders buy back after the forced sale, and prices tend to rebound once the selling pressure clears

Measured by

Inferred from price impact around forced liquidations and from order-flow patterns that anticipate a rival's selling