Predatory Formations Dressed in Wall Street Suits and Algorithmic Math

Abstract

This article examines how assemblages of complex types of knowledge and technologies—including algorithmic mathematics, law and accounting, and high-level logistics—have generated complex predatory formations. The complexity of these formations tends to camouflage their predatory character. Further, such formations are systemic in nature. They are not produced by an elementary seizure of power. Predatory formations are often beyond the reach of ordinary policy responses, in good part because they tend to assemble elements of separate domains into novel configurations. The focus here is on one of the more powerful and complex predatory formations, (high) finance. And the effort is to explain how even the most sophisticated financial instruments require certain elementary and brutal steps, resulting in highly degraded socio-economic outcomes. The sub-prime mortgage developed in the early 2000s differentiates itself from the original 1970s concept in that its aim was not to enable access to housing. Its aim was and is to use the actual physical good (the house) to develop an asset-backed security for the financial system itself.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 52 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.